Tag Archives: biotechnology

Genetic engineering: an eggplant in Bangladesh and a synthetic biology grant at Concordia University (Canada)

I have two bits of genetic engineering news.

Eggplants in Bangladesh

I always marvel at their beauty,

Bt eggplant is the first genetically engineered food crop to be successfully introduced in South Asia. The crop is helping some of the world’s poorest farmers feed their families and communities while reducing the use of pesticides. Photo by Cornell Alliance for Science.

A July 17, 2018 news item on phys.org describes a genetic engineering application,

Ansar Ali earned just 11,000 taka – about $130 U.S. dollars – from eggplant he grew last year in Bangladesh. This year, after planting Bt eggplant, he brought home more than double that amount, 27,000 taka. It’s a life-changing improvement for a subsistence farmer like Ali.

Bt eggplant, or brinjal as it’s known in Bangladesh, is the first genetically engineered food crop to be successfully introduced in South Asia. Bt brinjal is helping some of the world’s poorest farmers to feed their families and communities, improve profits and dramatically reduce pesticide use. That’s according to Tony Shelton, Cornell professor of entomology and director of the Bt brinjal project funded by the United States Agency for International Development (USAID). Shelton and Jahangir Hossain, the country coordinator for the project in Bangladesh, lead the Cornell initiative to get these seeds into the hands of the small-scale, resource-poor farmers who grow a crop consumed daily by millions of Bangladeshis.

A July 11, 2018 Cornell University news release by Krisy Gashler, which originated the news item, expands on the theme (Note: Links have been removed),

Bt brinjal was first developed by the Indian seed company Mahyco in the early 2000s. Scientists inserted a gene from the bacterium Bacillus thuringiensis (thus the name, Bt) into nine brinjal varieties. The plants were engineered to resist the fruit and shoot borer, a devastating insect whose larvae bore into the stem and fruit of an eggplant. The insects cause up to 80 percent crop loss.

The Bt protein produced by the engineered eggplant causes the fruit and shoot borer larva to stop feeding, but is safe for humans consuming the eggplant, as proven through years of biosafety trials. In fact, Bt is commonly used by organic farmers to control caterpillars but has to be sprayed frequently to be effective. The Bt eggplant produces essentially the same protein as in the spray. More than 80 percent of field corn and cotton grown in the U.S. contains a Bt gene for insect control.

“Farmers growing Bt brinjal in Bangladesh are seeing three times the production of other brinjal varieties, at half the production cost, and are getting better prices at the market,” Hossain said.

A recent survey found 50 percent of farmers in Bangladesh said that they experienced illness due to the intense spraying of insecticides. Most farmers work in bare feet and without eye protection, leading to pesticide exposure that causes skin and eye irritation, and vomiting.

“It’s terrible for these farmers’ health and the health of the environment to spray so much,” said Shelton, who found that pesticide use on Bt eggplant was reduced as much as 92 percent in commercial Bt brinjal plantings. “Bt brinjal is a solution that’s really making a difference in people’s lives.”

Alhaz Uddin, a farmer in the Tangail district, made 6,000 taka growing traditional brinjal, but had to spend 4,000 taka on pesticides to combat fruit and shoot borer.

“I sprayed pesticides several times in a week,” he said. “I got sick many times during the spray.”

Mahyco initially wanted to introduce Bt brinjal in India and underwent years of successful safety testing. But in 2010, due to pressure from anti-biotechnology groups, the Indian minister of the environment placed a moratorium on the seeds. It is still in effect today, leaving brinjal farmers there without the effective and safe method of control available to their neighbors in Bangladesh.

Even before the Indian moratorium, Cornell scientists hosted delegations from Bangladesh that wanted to learn about Bt brinjal and the Agricultural Biotechnology Support Project II (ABSP II), a consortium of public and private institutions in Asia and Africa intended to help with the commercial development, regulatory approval and dissemination of bio-engineered crops, including Bt brinjal.

Cornell worked with USAID, Mahyco and the Bangladesh Agricultural Research Institute to secure regulatory approval, and in 2014 the Bangladeshi government distributed a small number of Bt brinjal plants to 20 farmers in four districts. The next year 108 farmers grew Bt brinjal, and the following year the number of farmers more than doubled to 250. In 2017 the number increased to 6,512 and in 2018 to 27,012. The numbers are likely even higher, according to Shelton, as there are no constraints against farmers saving seeds and replanting.

“Farmers who plant Bt brinjal are required to plant a small perimeter of traditional brinjal around the Bt variety; research has shown that the insects will infest plants in the buffer area, and this will slow their evolutionary development of resistance to the Bt plants,” Shelton said.

In a March 2017 workshop, Bangladeshi Agriculture Minister Begum Matia Chowdhury called Bt brinjal “a success story of local and foreign collaboration.”

“We will be guided by the science-based information, not by the nonscientific whispering of a section of people,” Chowdhury said. “As human beings, it is our moral obligation that all people in our country should get food and not go to bed on an empty stomach. Biotechnology can play an important role in this effect.”

Here’s what an infested eggplant looks like,

Non-Bt eggplant infested with fruit and shoot borer. Photo by Cornell Alliance for Science

It looks more like a fig than an eggplant.

This is part of a more comprehensive project as revealed in a March 29, 2016 Cornell University news release issued on the occasion of a $4.8M, three-year grant from the U.S. Agency for International Development (USAID),

… The award supports USAID’s work under Feed the Future, the U.S. government’s global initiative to fight hunger and improve food security using agricultural science and technology.

In the Feed the Future South Asia Eggplant Improvement Partnership, Cornell will protect eggplant farmers from yield losses and improve their livelihoods in partnership with the Bangladesh Agricultural Research Institute (BARI) and the University of the Philippines at Los Baños. Eggplant, or brinjal, is a staple crop that is an important source of income and nutrition for farmers and consumers in South Asia.

Over the past decade, Cornell has led the Agricultural Biotechnology Support Project II (ABSPII), also funded by USAID, that prompted a consortium of institutions in Asia and Africa to use the tools of modern biotechnology, particularly genetic engineering, to improve crops to address major production constraints for which conventional plant breeding tools have not been effective.

In October 2013, Bangladesh became the first country in South Asia to approve commercial cultivation of a genetically engineered food crop. In February 2014, Matia Chowdhury, the Bangladesh minister of agriculture, released four varieties of Bt brinjal to 20 farmers. With the establishment of the 20 Bt brinjal demonstration plots in 2014 and 104 more in 2015, BARI reported a noticeable decrease in fruit and shoot borer infestation, increased yields, decreased use of pesticide and improved income for farmers.

The Feed the Future South Asia Eggplant Improvement Partnership addresses and integrates all elements of the commercialization process — including technology development, regulation, marketing, seed distribution, and product stewardship. It also provides strong platforms for policy development, capacity building, gender equality, outreach and communication.

Moving on from practical applications …

Canada’s synthetic biology training centre

It seems Concordia University (Montréa) is a major Canadian centre for all things ‘synthetic biological’. (from the History and Vision webpage on Concordia University’s Centre for Applied Synthetic Biology webspace),

History and vision

Emerging in 2012 from a collaboration between the Biology and Electrical and Computer Engineering Departments, the Centre received University-wide status in 2016 growing its membership to include Biochemistry, Journalism, Communication Studies, Mechanical, Industrial and Chemical Engineering.


Timeline

T17-36393-VPRG-Timeline-graphic-promo-v4

You can see the timeline does not yet include 2018 development(s). Also it started as “a collaboration between the Biology and Electrical and Computer Engineering Departments?” This suggests a vastly different approach to genetic engineering that that employed in the “eggplant” research. From a July 16, 2018 posting on the Genome Alberta blog,

The Natural Sciences and Engineering Research Council of Canada (NSERC) has committed $1.65 million dollars over six years to establish a research and training program at Concordia’s Centre for Applied Synthetic Biology.

The funds were awarded after Malcolm Whiteway (…), professor of biology and the Canada Research Chair in Microbial Genomics, and the grant application team submitted a proposal to NSERC’s Collaborative Research and Training Experience (CREATE) program.

The Synthetic Biology Applications CREATE program — or SynBioApps — will help students acquire and develop important professional skills that complement their academic education and improve their job-readiness.

‘Concordia is a natural fit’

“As the Canadian leader in synthetic biology and as the home of the country’s only genome foundry, Concordia is a natural fit for a training program in this growing area of research,” says Christophe Guy, vice-president of Research and Graduate Studies.

“In offering a program like SynBioApps, we are providing our students with both a fundamental education in science and the business skills they’ll need to transition into their professional careers.”

The program’s aims are twofold: First, it will teach students how to design and construct cells and proteins for the development of new products related to human health, green technologies, and fundamental biological investigations. Second, it will provide cross-disciplinary training and internship opportunities through the university’s District 3 Innovation Center.

SynBioApps will be open to students from biology, biochemistry, engineering, computing, and mathematics.

“The ability to apply engineering approaches to biological systems promises to revolutionize both biology and industry,” says Whiteway, who is also a member of the Centre for Applied Synthetic Biology.

“The SynBioApps program at Concordia will provide a training program to develop the students who will both investigate the biology and build these industries.”

You can find out more about Concordia’s Centre for Applied Synthetic Biology here (there are jobs listed on their home page) and you can find information about the Synthetic Biology Applications (SynBioApps) training programme here.

June 4, 2018 talk in Vancouver (Canada): Genetically-Engineered Food: Facts, Ethical Considerations and World Hunger

ARPICO (Society of Italian Researchers and Professionals in Western Canada) is hosting a talk on the topic of genetically modified food. Here’s more from their May 20, 2018 announcement (received via email),

Our third speaking event of the year has been scheduled for Monday, June 4th, 2018 at the Italian Cultural Centre – Museum & Art Gallery. Marie-Claude Fortin’s talk will discuss food systems derived from biotechnology (often referred to as GMO) and their comparison with traditional farming processes, both technical and ethical. You can read a summary of Marie-Claude Fortin’s lecture as well as her short professional biography at the bottom of this message.

Ahead of the speaking event, ARPICO will be holding its 2018 Annual General Meeting in the same location. We encourage everyone to participate in the AGM, have their say on ARPICO’s matters and possibly volunteer for the Board of Directors.

We look forward to seeing everyone there.

Please register for the event by visiting the EventBrite link or RSVPing to info@arpico.ca.

The evening agenda is as follows:

6:00pm to 6:45pm – Annual General Meeting
7:00 pm – Lecture by Marie-Claude Fortin
~8:00 pm – Q & A Period
Mingling & Refreshments until about 9:45 pm

If you have not yet RSVP’d, please do so on our EventBrite page.

Further details are also available at arpico.ca, our facebook page, and Eventbrite.

Genetically-Engineered Food: Facts, Ethical Considerations and World Hunger

In this lecture we will explore a part of our food system, which has received much press, but which consumers still misunderstand: food derived from biotechnology often referred to as genetically modified organisms. We will be learning about the types of plants and animals which are genetically engineered and part of our everyday food system and the reasons for which they have been transformed genetically. We will be looking at the issue from several different angles. You are encouraged to approach the topic with an open mind, and learn how the technology is being used. We will start by understanding the differences between traditional plant breeding, conventional plant breeding, transgenic technology and genome editing. The latter two processes are considered genetic engineering technologies but all of them constitute a continuum of techniques employed to improve domestic plants and animals. We will then go over the ethical paradigms related to genetically engineered food represented by the European and North American points of view. Finally, we will discuss the strengths and weaknesses associated with genetic engineering as a tool to solve world hunger.

Marie-Claude Fortin is a former Research Scientist with Agriculture and Agri-Food Canada, Associate Editor with Crop Science Society of America, Board Member of the Soil and Water Conservation Society and Adjunct Professor at the University of British Columbia (UBC) and currently responsible for the shared research infrastructure portfolio at the UBC Vice-President Research & Innovation Office. Her main areas of research expertise are crop and soil sciences with special interests in measuring and modeling crop development and various processes on agricultural land: water and nitrogen fertilizer flow through the soil profile, emissions of greenhouse gases and soil physical properties. Her research shows that sustainable crop management practices result in soil environments, which are conducive to resilient crop production and organic matter buildup, which is the process of storing carbon in soils, a most important process in this era of climate change. For the past 18 years, Marie-Claude has been teaching food systems courses at UBC [University of British Columbia], emphasizing impacts of decisions made at the corporate, national and local levels on the economic, environmental and social sustainability of the food system, including impacts of organic and industrial agriculture and adoption of genetically engineered crops and animals, on farmers and consumers.

WHEN (AGM): Monday, June 4th, 2018 at 6:00pm (doors open at 5:50pm)

WHEN (EVENT): Monday, June 4th, 2018 at 7:00pm (doors open at 6:45pm)

WHERE: Italian Cultural Centre – Museum & Art Gallery – 3075 Slocan St, Vancouver, BC, V5M 3E4

RSVP: Please RSVP at EventBrite (https://gmofoods.eventbrite.ca/) or email info@arpico.ca

Tickets are Needed

Tickets are FREE, but all individuals are requested to obtain “free-admission” tickets on EventBrite site due to limited seating at the venue. Organizers need accurate registration numbers to manage wait lists and prepare name tags.

All ARPICO events are 100% staffed by volunteer organizers and helpers, however, room rental, stationery, and guest refreshments are costs incurred and underwritten by members of ARPICO. Therefore to be fair, all audience participants are asked to donate to the best of their ability at the door or via EventBrite to “help” defray costs of the event.

FAQs

Where can I contact the organizer with any questions? info@arpico.ca

Do I have to bring my printed ticket to the event? No, you do not. Your name will be on our Registration List at the Check-in Desk.

Is my registration/ticket transferrable? If you are unable to attend, another person may use your ticket. Please send us an email at info@arpico.ca of this substitution to correct our audience Registration List and to prepare guest name tags.

Can I update my registration information? Yes. If you have any questions, contact us at info@arpico.ca

I am having trouble using EventBrite and cannot reserve my ticket(s). Can someone at ARPICO help me with my ticket reservation? Of course, simply send your ticket request to us at info@arpico.ca so we help you.

We look forward to seeing you there.
www.arpico.ca

I wonder if they’re going to be discussing AquAdvantage salmon, which was first mentioned here in a Dec. 4, 2015 post (scroll down about 40% of the way), again, in a May 20, 2016 posting (AquAdvantage salmon (genetically modified) approved for consumption in Canada), and, most recently, in a Sept. 13, 2017 posting where I was critiquing a couple of books (scroll down to the ‘Fish’ subtitle). Allegedly the fish were allegedly sold in the Canadian market,

Since the 2016 approval, AquAdvantage salmon, 4.5M tonnes has been sold in Canada according to an Aug. 8, 2017 article by Sima Shakeri for Huffington Post (Note: Links have been removed),

After decades of trying to get approval by in North America, genetically modified Atlantic salmon has been sold to consumers in Canada.

AquaBounty Technologies, an American company that produces the Atlantic salmon, confirmed it had sold 4.5 tonnes of the modified fish on August 4 [2017], the Scientific American reported.

The fish have been engineered with a growth hormone gene from Chinook salmon to grow faster than regular salmon and require less food. They take about 18 months to reach market size, which is much quicker than the 30 months or so for conventional salmon.

The Washington Post wrote AquaBounty’s salmon also contains a gene from the ocean pout that makes the salmon produce the growth hormone gene all-year-round.

The company produces the eggs in a facility in P.E.I., which is currently being expanded, and then they’re shipped to Panama where the fish are raised.

Health Canada assessed the AquAdvantage salmon and concluded it “did not pose a greater risk to human health than salmon currently available on the Canadian market,” and that it would have no impact on allergies nor a difference in nutritional value compared to other farmed salmon.

Because of that, the AquAdvantage product is not required to be specially labelled as genetically modified, and is up to the discretion of retailers.

As for gene editing, I don’t follow everything in that area of endeavour but I have (more or less) kept track of CRISPR ((clustered regularly interspaced short palindromic repeat). Just use CRISPR as the search term for the blog search function to find what’s here.

This looks to be a very interesting talk and good for ARPICO for tackling a ‘difficult’ topic. I hope they have a lively, convivial, and open discussion.

The Hedy Lamarr of international research: Canada’s Third assessment of The State of Science and Technology and Industrial Research and Development in Canada (2 of 2)

Taking up from where I left off with my comments on Competing in a Global Innovation Economy: The Current State of R and D in Canada or as I prefer to call it the Third assessment of Canadas S&T (science and technology) and R&D (research and development). (Part 1 for anyone who missed it).

Is it possible to get past Hedy?

Interestingly (to me anyway), one of our R&D strengths, the visual and performing arts, features sectors where a preponderance of people are dedicated to creating culture in Canada and don’t spend a lot of time trying to make money so they can retire before the age of 40 as so many of our start-up founders do. (Retiring before the age of 40 just reminded me of Hollywood actresses {Hedy] who found and still do find that work was/is hard to come by after that age. You may be able but I’m not sure I can get past Hedy.) Perhaps our business people (start-up founders) could take a leaf out of the visual and performing arts handbook? Or, not. There is another question.

Does it matter if we continue to be a ‘branch plant’ economy? Somebody once posed that question to me when I was grumbling that our start-ups never led to larger businesses and acted more like incubators (which could describe our R&D as well),. He noted that Canadians have a pretty good standard of living and we’ve been running things this way for over a century and it seems to work for us. Is it that bad? I didn’t have an  answer for him then and I don’t have one now but I think it’s a useful question to ask and no one on this (2018) expert panel or the previous expert panel (2013) seems to have asked.

I appreciate that the panel was constrained by the questions given by the government but given how they snuck in a few items that technically speaking were not part of their remit, I’m thinking they might have gone just a bit further. The problem with answering the questions as asked is that if you’ve got the wrong questions, your answers will be garbage (GIGO; garbage in, garbage out) or, as is said, where science is concerned, it’s the quality of your questions.

On that note, I would have liked to know more about the survey of top-cited researchers. I think looking at the questions could have been quite illuminating and I would have liked some information on from where (geographically and area of specialization) they got most of their answers. In keeping with past practice (2012 assessment published in 2013), there is no additional information offered about the survey questions or results. Still, there was this (from the report released April 10, 2018; Note: There may be some difference between the formatting seen here and that seen in the document),

3.1.2 International Perceptions of Canadian Research
As with the 2012 S&T report, the CCA commissioned a survey of top-cited researchers’ perceptions of Canada’s research strength in their field or subfield relative to that of other countries (Section 1.3.2). Researchers were asked to identify the top five countries in their field and subfield of expertise: 36% of respondents (compared with 37% in the 2012 survey) from across all fields of research rated Canada in the top five countries in their field (Figure B.1 and Table B.1 in the appendix). Canada ranks fourth out of all countries, behind the United States, United Kingdom, and Germany, and ahead of France. This represents a change of about 1 percentage point from the overall results of the 2012 S&T survey. There was a 4 percentage point decrease in how often France is ranked among the top five countries; the ordering of the top five countries, however, remains the same.

When asked to rate Canada’s research strength among other advanced countries in their field of expertise, 72% (4,005) of respondents rated Canadian research as “strong” (corresponding to a score of 5 or higher on a 7-point scale) compared with 68% in the 2012 S&T survey (Table 3.4). [pp. 40-41 Print; pp. 78-70 PDF]

Before I forget, there was mention of the international research scene,

Growth in research output, as estimated by number of publications, varies considerably for the 20 top countries. Brazil, China, India, Iran, and South Korea have had the most significant increases in publication output over the last 10 years. [emphases mine] In particular, the dramatic increase in China’s output means that it is closing the gap with the United States. In 2014, China’s output was 95% of that of the United States, compared with 26% in 2003. [emphasis mine]

Table 3.2 shows the Growth Index (GI), a measure of the rate at which the research output for a given country changed between 2003 and 2014, normalized by the world growth rate. If a country’s growth in research output is higher than the world average, the GI score is greater than 1.0. For example, between 2003 and 2014, China’s GI score was 1.50 (i.e., 50% greater than the world average) compared with 0.88 and 0.80 for Canada and the United States, respectively. Note that the dramatic increase in publication production of emerging economies such as China and India has had a negative impact on Canada’s rank and GI score (see CCA, 2016).

As long as I’ve been blogging (10 years), the international research community (in particular the US) has been looking over its shoulder at China.

Patents and intellectual property

As an inventor, Hedy got more than one patent. Much has been made of the fact that  despite an agreement, the US Navy did not pay her or her partner (George Antheil) for work that would lead to significant military use (apparently, it was instrumental in the Bay of Pigs incident, for those familiar with that bit of history), GPS, WiFi, Bluetooth, and more.

Some comments about patents. They are meant to encourage more innovation by ensuring that creators/inventors get paid for their efforts .This is true for a set time period and when it’s over, other people get access and can innovate further. It’s not intended to be a lifelong (or inheritable) source of income. The issue in Lamarr’s case is that the navy developed the technology during the patent’s term without telling either her or her partner so, of course, they didn’t need to compensate them despite the original agreement. They really should have paid her and Antheil.

The current patent situation, particularly in the US, is vastly different from the original vision. These days patents are often used as weapons designed to halt innovation. One item that should be noted is that the Canadian federal budget indirectly addressed their misuse (from my March 16, 2018 posting),

Surprisingly, no one else seems to have mentioned a new (?) intellectual property strategy introduced in the document (from Chapter 2: Progress; scroll down about 80% of the way, Note: The formatting has been changed),

Budget 2018 proposes measures in support of a new Intellectual Property Strategy to help Canadian entrepreneurs better understand and protect intellectual property, and get better access to shared intellectual property.

What Is a Patent Collective?
A Patent Collective is a way for firms to share, generate, and license or purchase intellectual property. The collective approach is intended to help Canadian firms ensure a global “freedom to operate”, mitigate the risk of infringing a patent, and aid in the defence of a patent infringement suit.

Budget 2018 proposes to invest $85.3 million over five years, starting in 2018–19, with $10 million per year ongoing, in support of the strategy. The Minister of Innovation, Science and Economic Development will bring forward the full details of the strategy in the coming months, including the following initiatives to increase the intellectual property literacy of Canadian entrepreneurs, and to reduce costs and create incentives for Canadian businesses to leverage their intellectual property:

  • To better enable firms to access and share intellectual property, the Government proposes to provide $30 million in 2019–20 to pilot a Patent Collective. This collective will work with Canada’s entrepreneurs to pool patents, so that small and medium-sized firms have better access to the critical intellectual property they need to grow their businesses.
  • To support the development of intellectual property expertise and legal advice for Canada’s innovation community, the Government proposes to provide $21.5 million over five years, starting in 2018–19, to Innovation, Science and Economic Development Canada. This funding will improve access for Canadian entrepreneurs to intellectual property legal clinics at universities. It will also enable the creation of a team in the federal government to work with Canadian entrepreneurs to help them develop tailored strategies for using their intellectual property and expanding into international markets.
  • To support strategic intellectual property tools that enable economic growth, Budget 2018 also proposes to provide $33.8 million over five years, starting in 2018–19, to Innovation, Science and Economic Development Canada, including $4.5 million for the creation of an intellectual property marketplace. This marketplace will be a one-stop, online listing of public sector-owned intellectual property available for licensing or sale to reduce transaction costs for businesses and researchers, and to improve Canadian entrepreneurs’ access to public sector-owned intellectual property.

The Government will also consider further measures, including through legislation, in support of the new intellectual property strategy.

Helping All Canadians Harness Intellectual Property
Intellectual property is one of our most valuable resources, and every Canadian business owner should understand how to protect and use it.

To better understand what groups of Canadians are benefiting the most from intellectual property, Budget 2018 proposes to provide Statistics Canada with $2 million over three years to conduct an intellectual property awareness and use survey. This survey will help identify how Canadians understand and use intellectual property, including groups that have traditionally been less likely to use intellectual property, such as women and Indigenous entrepreneurs. The results of the survey should help the Government better meet the needs of these groups through education and awareness initiatives.

The Canadian Intellectual Property Office will also increase the number of education and awareness initiatives that are delivered in partnership with business, intermediaries and academia to ensure Canadians better understand, integrate and take advantage of intellectual property when building their business strategies. This will include targeted initiatives to support underrepresented groups.

Finally, Budget 2018 also proposes to invest $1 million over five years to enable representatives of Canada’s Indigenous Peoples to participate in discussions at the World Intellectual Property Organization related to traditional knowledge and traditional cultural expressions, an important form of intellectual property.

It’s not wholly clear what they mean by ‘intellectual property’. The focus seems to be on  patents as they are the only intellectual property (as opposed to copyright and trademarks) singled out in the budget. As for how the ‘patent collective’ is going to meet all its objectives, this budget supplies no clarity on the matter. On the plus side, I’m glad to see that indigenous peoples’ knowledge is being acknowledged as “an important form of intellectual property” and I hope the discussions at the World Intellectual Property Organization are fruitful.

As for the patent situation in Canada (from the report released April 10, 2018),

Over the past decade, the Canadian patent flow in all technical sectors has consistently decreased. Patent flow provides a partial picture of how patents in Canada are exploited. A negative flow represents a deficit of patented inventions owned by Canadian assignees versus the number of patented inventions created by Canadian inventors. The patent flow for all Canadian patents decreased from about −0.04 in 2003 to −0.26 in 2014 (Figure 4.7). This means that there is an overall deficit of 26% of patent ownership in Canada. In other words, fewer patents were owned by Canadian institutions than were invented in Canada.

This is a significant change from 2003 when the deficit was only 4%. The drop is consistent across all technical sectors in the past 10 years, with Mechanical Engineering falling the least, and Electrical Engineering the most (Figure 4.7). At the technical field level, the patent flow dropped significantly in Digital Communication and Telecommunications. For example, the Digital Communication patent flow fell from 0.6 in 2003 to −0.2 in 2014. This fall could be partially linked to Nortel’s US$4.5 billion patent sale [emphasis mine] to the Rockstar consortium (which included Apple, BlackBerry, Ericsson, Microsoft, and Sony) (Brickley, 2011). Food Chemistry and Microstructural [?] and Nanotechnology both also showed a significant drop in patent flow. [p. 83 Print; p. 121 PDF]

Despite a fall in the number of parents for ‘Digital Communication’, we’re still doing well according to statistics elsewhere in this report. Is it possible that patents aren’t that big a deal? Of course, it’s also possible that we are enjoying the benefits of past work and will miss out on future work. (Note: A video of the April 10, 2018 report presentation by Max Blouw features him saying something like that.)

One last note, Nortel died many years ago. Disconcertingly, this report, despite more than one reference to Nortel, never mentions the company’s demise.

Boxed text

While the expert panel wasn’t tasked to answer certain types of questions, as I’ve noted earlier they managed to sneak in a few items.  One of the strategies they used was putting special inserts into text boxes including this (from the report released April 10, 2018),

Box 4.2
The FinTech Revolution

Financial services is a key industry in Canada. In 2015, the industry accounted for 4.4%

of Canadia jobs and about 7% of Canadian GDP (Burt, 2016). Toronto is the second largest financial services hub in North America and one of the most vibrant research hubs in FinTech. Since 2010, more than 100 start-up companies have been founded in Canada, attracting more than $1 billion in investment (Moffatt, 2016). In 2016 alone, venture-backed investment in Canadian financial technology companies grew by 35% to $137.7 million (Ho, 2017). The Toronto Financial Services Alliance estimates that there are approximately 40,000 ICT specialists working in financial services in Toronto alone.

AI, blockchain, [emphasis mine] and other results of ICT research provide the basis for several transformative FinTech innovations including, for example, decentralized transaction ledgers, cryptocurrencies (e.g., bitcoin), and AI-based risk assessment and fraud detection. These innovations offer opportunities to develop new markets for established financial services firms, but also provide entry points for technology firms to develop competing service offerings, increasing competition in the financial services industry. In response, many financial services companies are increasing their investments in FinTech companies (Breznitz et al., 2015). By their own account, the big five banks invest more than $1 billion annually in R&D of advanced software solutions, including AI-based innovations (J. Thompson, personal communication, 2016). The banks are also increasingly investing in university research and collaboration with start-up companies. For instance, together with several large insurance and financial management firms, all big five banks have invested in the Vector Institute for Artificial Intelligence (Kolm, 2017).

I’m glad to see the mention of blockchain while AI (artificial intelligence) is an area where we have innovated (from the report released April 10, 2018),

AI has attracted researchers and funding since the 1960s; however, there were periods of stagnation in the 1970s and 1980s, sometimes referred to as the “AI winter.” During this period, the Canadian Institute for Advanced Research (CIFAR), under the direction of Fraser Mustard, started supporting AI research with a decade-long program called Artificial Intelligence, Robotics and Society, [emphasis mine] which was active from 1983 to 1994. In 2004, a new program called Neural Computation and Adaptive Perception was initiated and renewed twice in 2008 and 2014 under the title, Learning in Machines and Brains. Through these programs, the government provided long-term, predictable support for high- risk research that propelled Canadian researchers to the forefront of global AI development. In the 1990s and early 2000s, Canadian research output and impact on AI were second only to that of the United States (CIFAR, 2016). NSERC has also been an early supporter of AI. According to its searchable grant database, NSERC has given funding to research projects on AI since at least 1991–1992 (the earliest searchable year) (NSERC, 2017a).

The University of Toronto, the University of Alberta, and the Université de Montréal have emerged as international centres for research in neural networks and deep learning, with leading experts such as Geoffrey Hinton and Yoshua Bengio. Recently, these locations have expanded into vibrant hubs for research in AI applications with a diverse mix of specialized research institutes, accelerators, and start-up companies, and growing investment by major international players in AI development, such as Microsoft, Google, and Facebook. Many highly influential AI researchers today are either from Canada or have at some point in their careers worked at a Canadian institution or with Canadian scholars.

As international opportunities in AI research and the ICT industry have grown, many of Canada’s AI pioneers have been drawn to research institutions and companies outside of Canada. According to the OECD, Canada’s share of patents in AI declined from 2.4% in 2000 to 2005 to 2% in 2010 to 2015. Although Canada is the sixth largest producer of top-cited scientific publications related to machine learning, firms headquartered in Canada accounted for only 0.9% of all AI-related inventions from 2012 to 2014 (OECD, 2017c). Canadian AI researchers, however, remain involved in the core nodes of an expanding international network of AI researchers, most of whom continue to maintain ties with their home institutions. Compared with their international peers, Canadian AI researchers are engaged in international collaborations far more often than would be expected by Canada’s level of research output, with Canada ranking fifth in collaboration. [p. 97-98 Print; p. 135-136 PDF]

The only mention of robotics seems to be here in this section and it’s only in passing. This is a bit surprising given its global importance. I wonder if robotics has been somehow hidden inside the term artificial intelligence, although sometimes it’s vice versa with robot being used to describe artificial intelligence. I’m noticing this trend of assuming the terms are synonymous or interchangeable not just in Canadian publications but elsewhere too.  ’nuff said.

Getting back to the matter at hand, t he report does note that patenting (technometric data) is problematic (from the report released April 10, 2018),

The limitations of technometric data stem largely from their restricted applicability across areas of R&D. Patenting, as a strategy for IP management, is similarly limited in not being equally relevant across industries. Trends in patenting can also reflect commercial pressures unrelated to R&D activities, such as defensive or strategic patenting practices. Finally, taxonomies for assessing patents are not aligned with bibliometric taxonomies, though links can be drawn to research publications through the analysis of patent citations. [p. 105 Print; p. 143 PDF]

It’s interesting to me that they make reference to many of the same issues that I mention but they seem to forget and don’t use that information in their conclusions.

There is one other piece of boxed text I want to highlight (from the report released April 10, 2018),

Box 6.3
Open Science: An Emerging Approach to Create New Linkages

Open Science is an umbrella term to describe collaborative and open approaches to
undertaking science, which can be powerful catalysts of innovation. This includes
the development of open collaborative networks among research performers, such
as the private sector, and the wider distribution of research that usually results when
restrictions on use are removed. Such an approach triggers faster translation of ideas
among research partners and moves the boundaries of pre-competitive research to
later, applied stages of research. With research results freely accessible, companies
can focus on developing new products and processes that can be commercialized.

Two Canadian organizations exemplify the development of such models. In June
2017, Genome Canada, the Ontario government, and pharmaceutical companies
invested $33 million in the Structural Genomics Consortium (SGC) (Genome Canada,
2017). Formed in 2004, the SGC is at the forefront of the Canadian open science
movement and has contributed to many key research advancements towards new
treatments (SGC, 2018). McGill University’s Montréal Neurological Institute and
Hospital has also embraced the principles of open science. Since 2016, it has been
sharing its research results with the scientific community without restriction, with
the objective of expanding “the impact of brain research and accelerat[ing] the
discovery of ground-breaking therapies to treat patients suffering from a wide range
of devastating neurological diseases” (neuro, n.d.).

This is exciting stuff and I’m happy the panel featured it. (I wrote about the Montréal Neurological Institute initiative in a Jan. 22, 2016 posting.)

More than once, the report notes the difficulties with using bibliometric and technometric data as measures of scientific achievement and progress and open science (along with its cousins, open data and open access) are contributing to the difficulties as James Somers notes in his April 5, 2018 article ‘The Scientific Paper is Obsolete’ for The Atlantic (Note: Links have been removed),

The scientific paper—the actual form of it—was one of the enabling inventions of modernity. Before it was developed in the 1600s, results were communicated privately in letters, ephemerally in lectures, or all at once in books. There was no public forum for incremental advances. By making room for reports of single experiments or minor technical advances, journals made the chaos of science accretive. Scientists from that point forward became like the social insects: They made their progress steadily, as a buzzing mass.

The earliest papers were in some ways more readable than papers are today. They were less specialized, more direct, shorter, and far less formal. Calculus had only just been invented. Entire data sets could fit in a table on a single page. What little “computation” contributed to the results was done by hand and could be verified in the same way.

The more sophisticated science becomes, the harder it is to communicate results. Papers today are longer than ever and full of jargon and symbols. They depend on chains of computer programs that generate data, and clean up data, and plot data, and run statistical models on data. These programs tend to be both so sloppily written and so central to the results that it’s [sic] contributed to a replication crisis, or put another way, a failure of the paper to perform its most basic task: to report what you’ve actually discovered, clearly enough that someone else can discover it for themselves.

Perhaps the paper itself is to blame. Scientific methods evolve now at the speed of software; the skill most in demand among physicists, biologists, chemists, geologists, even anthropologists and research psychologists, is facility with programming languages and “data science” packages. And yet the basic means of communicating scientific results hasn’t changed for 400 years. Papers may be posted online, but they’re still text and pictures on a page.

What would you get if you designed the scientific paper from scratch today? A little while ago I spoke to Bret Victor, a researcher who worked at Apple on early user-interface prototypes for the iPad and now runs his own lab in Oakland, California, that studies the future of computing. Victor has long been convinced that scientists haven’t yet taken full advantage of the computer. “It’s not that different than looking at the printing press, and the evolution of the book,” he said. After Gutenberg, the printing press was mostly used to mimic the calligraphy in bibles. It took nearly 100 years of technical and conceptual improvements to invent the modern book. “There was this entire period where they had the new technology of printing, but they were just using it to emulate the old media.”Victor gestured at what might be possible when he redesigned a journal article by Duncan Watts and Steven Strogatz, “Collective dynamics of ‘small-world’ networks.” He chose it both because it’s one of the most highly cited papers in all of science and because it’s a model of clear exposition. (Strogatz is best known for writing the beloved “Elements of Math” column for The New York Times.)

The Watts-Strogatz paper described its key findings the way most papers do, with text, pictures, and mathematical symbols. And like most papers, these findings were still hard to swallow, despite the lucid prose. The hardest parts were the ones that described procedures or algorithms, because these required the reader to “play computer” in their head, as Victor put it, that is, to strain to maintain a fragile mental picture of what was happening with each step of the algorithm.Victor’s redesign interleaved the explanatory text with little interactive diagrams that illustrated each step. In his version, you could see the algorithm at work on an example. You could even control it yourself….

For anyone interested in the evolution of how science is conducted and communicated, Somers’ article is a fascinating and in depth look at future possibilities.

Subregional R&D

I didn’t find this quite as compelling as the last time and that may be due to the fact that there’s less information and I think the 2012 report was the first to examine the Canadian R&D scene with a subregional (in their case, provinces) lens. On a high note, this report also covers cities (!) and regions, as well as, provinces.

Here’s the conclusion (from the report released April 10, 2018),

Ontario leads Canada in R&D investment and performance. The province accounts for almost half of R&D investment and personnel, research publications and collaborations, and patents. R&D activity in Ontario produces high-quality publications in each of Canada’s five R&D strengths, reflecting both the quantity and quality of universities in the province. Quebec lags Ontario in total investment, publications, and patents, but performs as well (citations) or better (R&D intensity) by some measures. Much like Ontario, Quebec researchers produce impactful publications across most of Canada’s five R&D strengths. Although it invests an amount similar to that of Alberta, British Columbia does so at a significantly higher intensity. British Columbia also produces more highly cited publications and patents, and is involved in more international research collaborations. R&D in British Columbia and Alberta clusters around Vancouver and Calgary in areas such as physics and ICT and in clinical medicine and energy, respectively. [emphasis mine] Smaller but vibrant R&D communities exist in the Prairies and Atlantic Canada [also referred to as the Maritime provinces or Maritimes] (and, to a lesser extent, in the Territories) in natural resource industries.

Globally, as urban populations expand exponentially, cities are likely to drive innovation and wealth creation at an increasing rate in the future. In Canada, R&D activity clusters around five large cities: Toronto, Montréal, Vancouver, Ottawa, and Calgary. These five cities create patents and high-tech companies at nearly twice the rate of other Canadian cities. They also account for half of clusters in the services sector, and many in advanced manufacturing.

Many clusters relate to natural resources and long-standing areas of economic and research strength. Natural resource clusters have emerged around the location of resources, such as forestry in British Columbia, oil and gas in Alberta, agriculture in Ontario, mining in Quebec, and maritime resources in Atlantic Canada. The automotive, plastics, and steel industries have the most individual clusters as a result of their economic success in Windsor, Hamilton, and Oshawa. Advanced manufacturing industries tend to be more concentrated, often located near specialized research universities. Strong connections between academia and industry are often associated with these clusters. R&D activity is distributed across the country, varying both between and within regions. It is critical to avoid drawing the wrong conclusion from this fact. This distribution does not imply the existence of a problem that needs to be remedied. Rather, it signals the benefits of diverse innovation systems, with differentiation driven by the needs of and resources available in each province. [pp.  132-133 Print; pp. 170-171 PDF]

Intriguingly, there’s no mention that in British Columbia (BC), there are leading areas of research: Visual & Performing Arts, Psychology & Cognitive Sciences, and Clinical Medicine (according to the table on p. 117 Print, p. 153 PDF).

As I said and hinted earlier, we’ve got brains; they’re just not the kind of brains that command respect.

Final comments

My hat’s off to the expert panel and staff of the Council of Canadian Academies. Combining two previous reports into one could not have been easy. As well, kudos to their attempts to broaden the discussion by mentioning initiative such as open science and for emphasizing the problems with bibliometrics, technometrics, and other measures. I have covered only parts of this assessment, (Competing in a Global Innovation Economy: The Current State of R&D in Canada), there’s a lot more to it including a substantive list of reference materials (bibliography).

While I have argued that perhaps the situation isn’t quite as bad as the headlines and statistics may suggest, there are some concerning trends for Canadians but we have to acknowledge that many countries have stepped up their research game and that’s good for all of us. You don’t get better at anything unless you work with and play with others who are better than you are. For example, both India and Italy surpassed us in numbers of published research papers. We slipped from 7th place to 9th. Thank you, Italy and India. (And, Happy ‘Italian Research in the World Day’ on April 15, 2018, the day’s inaugural year. In Italian: Piano Straordinario “Vivere all’Italiana” – Giornata della ricerca Italiana nel mondo.)

Unfortunately, the reading is harder going than previous R&D assessments in the CCA catalogue. And in the end, I can’t help thinking we’re just a little bit like Hedy Lamarr. Not really appreciated in all of our complexities although the expert panel and staff did try from time to time. Perhaps the government needs to find better ways of asking the questions.

***ETA April 12, 2018 at 1500 PDT: Talking about missing the obvious! I’ve been ranting on about how research strength in visual and performing arts and in philosophy and theology, etc. is perfectly fine and could lead to ‘traditional’ science breakthroughs without underlining the point by noting that Antheil was a musician, Lamarr was as an actress and they set the foundation for work by electrical engineers (or people with that specialty) for their signature work leading to WiFi, etc.***

There is, by the way, a Hedy-Canada connection. In 1998, she sued Canadian software company Corel, for its unauthorized use of her image on their Corel Draw 8 product packaging. She won.

More stuff

For those who’d like to see and hear the April 10, 2017 launch for “Competing in a Global Innovation Economy: The Current State of R&D in Canada” or the Third Assessment as I think of it, go here.

The report can be found here.

For anyone curious about ‘Bombshell: The Hedy Lamarr Story’ to be broadcast on May 18, 2018 as part of PBS’s American Masters series, there’s this trailer,

For the curious, I did find out more about the Hedy Lamarr and Corel Draw. John Lettice’s December 2, 1998 article The Rgister describes the suit and her subsequent victory in less than admiring terms,

Our picture doesn’t show glamorous actress Hedy Lamarr, who yesterday [Dec. 1, 1998] came to a settlement with Corel over the use of her image on Corel’s packaging. But we suppose that following the settlement we could have used a picture of Corel’s packaging. Lamarr sued Corel earlier this year over its use of a CorelDraw image of her. The picture had been produced by John Corkery, who was 1996 Best of Show winner of the Corel World Design Contest. Corel now seems to have come to an undisclosed settlement with her, which includes a five-year exclusive (oops — maybe we can’t use the pack-shot then) licence to use “the lifelike vector illustration of Hedy Lamarr on Corel’s graphic software packaging”. Lamarr, bless ‘er, says she’s looking forward to the continued success of Corel Corporation,  …

There’s this excerpt from a Sept. 21, 2015 posting (a pictorial essay of Lamarr’s life) by Shahebaz Khan on The Blaze Blog,

6. CorelDRAW:
For several years beginning in 1997, the boxes of Corel DRAW’s software suites were graced by a large Corel-drawn image of Lamarr. The picture won Corel DRAW’s yearly software suite cover design contest in 1996. Lamarr sued Corel for using the image without her permission. Corel countered that she did not own rights to the image. The parties reached an undisclosed settlement in 1998.

There’s also a Nov. 23, 1998 Corel Draw 8 product review by Mike Gorman on mymac.com, which includes a screenshot of the packaging that precipitated the lawsuit. Once they settled, it seems Corel used her image at least one more time.

The Hedy Lamarr of international research: Canada’s Third assessment of The State of Science and Technology and Industrial Research and Development in Canada (1 of 2)

Before launching into the assessment, a brief explanation of my theme: Hedy Lamarr was considered to be one of the great beauties of her day,

“Ziegfeld Girl” Hedy Lamarr 1941 MGM *M.V.
Titles: Ziegfeld Girl
People: Hedy Lamarr
Image courtesy mptvimages.com [downloaded from https://www.imdb.com/title/tt0034415/mediaviewer/rm1566611456]

Aside from starring in Hollywood movies and, before that, movies in Europe, she was also an inventor and not just any inventor (from a Dec. 4, 2017 article by Laura Barnett for The Guardian), Note: Links have been removed,

Let’s take a moment to reflect on the mercurial brilliance of Hedy Lamarr. Not only did the Vienna-born actor flee a loveless marriage to a Nazi arms dealer to secure a seven-year, $3,000-a-week contract with MGM, and become (probably) the first Hollywood star to simulate a female orgasm on screen – she also took time out to invent a device that would eventually revolutionise mobile communications.

As described in unprecedented detail by the American journalist and historian Richard Rhodes in his new book, Hedy’s Folly, Lamarr and her business partner, the composer George Antheil, were awarded a patent in 1942 for a “secret communication system”. It was meant for radio-guided torpedoes, and the pair gave to the US Navy. It languished in their files for decades before eventually becoming a constituent part of GPS, Wi-Fi and Bluetooth technology.

(The article goes on to mention other celebrities [Marlon Brando, Barbara Cartland, Mark Twain, etc] and their inventions.)

Lamarr’s work as an inventor was largely overlooked until the 1990’s when the technology community turned her into a ‘cultish’ favourite and from there her reputation grew and acknowledgement increased culminating in Rhodes’ book and the documentary by Alexandra Dean, ‘Bombshell: The Hedy Lamarr Story (to be broadcast as part of PBS’s American Masters series on May 18, 2018).

Canada as Hedy Lamarr

There are some parallels to be drawn between Canada’s S&T and R&D (science and technology; research and development) and Ms. Lamarr. Chief amongst them, we’re not always appreciated for our brains. Not even by people who are supposed to know better such as the experts on the panel for the ‘Third assessment of The State of Science and Technology and Industrial Research and Development in Canada’ (proper title: Competing in a Global Innovation Economy: The Current State of R&D in Canada) from the Expert Panel on the State of Science and Technology and Industrial Research and Development in Canada.

A little history

Before exploring the comparison to Hedy Lamarr further, here’s a bit more about the history of this latest assessment from the Council of Canadian Academies (CCA), from the report released April 10, 2018,

This assessment of Canada’s performance indicators in science, technology, research, and innovation comes at an opportune time. The Government of Canada has expressed a renewed commitment in several tangible ways to this broad domain of activity including its Innovation and Skills Plan, the announcement of five superclusters, its appointment of a new Chief Science Advisor, and its request for the Fundamental Science Review. More specifically, the 2018 Federal Budget demonstrated the government’s strong commitment to research and innovation with historic investments in science.

The CCA has a decade-long history of conducting evidence-based assessments about Canada’s research and development activities, producing seven assessments of relevance:

The State of Science and Technology in Canada (2006) [emphasis mine]
•Innovation and Business Strategy: Why Canada Falls Short (2009)
•Catalyzing Canada’s Digital Economy (2010)
•Informing Research Choices: Indicators and Judgment (2012)
The State of Science and Technology in Canada (2012) [emphasis mine]
The State of Industrial R&D in Canada (2013) [emphasis mine]
•Paradox Lost: Explaining Canada’s Research Strength and Innovation Weakness (2013)

Using similar methods and metrics to those in The State of Science and Technology in Canada (2012) and The State of Industrial R&D in Canada (2013), this assessment tells a similar and familiar story: Canada has much to be proud of, with world-class researchers in many domains of knowledge, but the rest of the world is not standing still. Our peers are also producing high quality results, and many countries are making significant commitments to supporting research and development that will position them to better leverage their strengths to compete globally. Canada will need to take notice as it determines how best to take action. This assessment provides valuable material for that conversation to occur, whether it takes place in the lab or the legislature, the bench or the boardroom. We also hope it will be used to inform public discussion. [p. ix Print, p. 11 PDF]

This latest assessment succeeds the general 2006 and 2012 reports, which were mostly focused on academic research, and combines it with an assessment of industrial research, which was previously separate. Also, this third assessment’s title (Competing in a Global Innovation Economy: The Current State of R&D in Canada) makes what was previously quietly declared in the text, explicit from the cover onwards. It’s all about competition, despite noises such as the 2017 Naylor report (Review of fundamental research) about the importance of fundamental research.

One other quick comment, I did wonder in my July 1, 2016 posting (featuring the announcement of the third assessment) how combining two assessments would impact the size of the expert panel and the size of the final report,

Given the size of the 2012 assessment of science and technology at 232 pp. (PDF) and the 2013 assessment of industrial research and development at 220 pp. (PDF) with two expert panels, the imagination boggles at the potential size of the 2016 expert panel and of the 2016 assessment combining the two areas.

I got my answer with regard to the panel as noted in my Oct. 20, 2016 update (which featured a list of the members),

A few observations, given the size of the task, this panel is lean. As well, there are three women in a group of 13 (less than 25% representation) in 2016? It’s Ontario and Québec-dominant; only BC and Alberta rate a representative on the panel. I hope they will find ways to better balance this panel and communicate that ‘balanced story’ to the rest of us. On the plus side, the panel has representatives from the humanities, arts, and industry in addition to the expected representatives from the sciences.

The imbalance I noted then was addressed, somewhat, with the selection of the reviewers (from the report released April 10, 2018),

The CCA wishes to thank the following individuals for their review of this report:

Ronald Burnett, C.M., O.B.C., RCA, Chevalier de l’ordre des arts et des
lettres, President and Vice-Chancellor, Emily Carr University of Art and Design
(Vancouver, BC)

Michelle N. Chretien, Director, Centre for Advanced Manufacturing and Design
Technologies, Sheridan College; Former Program and Business Development
Manager, Electronic Materials, Xerox Research Centre of Canada (Brampton,
ON)

Lisa Crossley, CEO, Reliq Health Technologies, Inc. (Ancaster, ON)
Natalie Dakers, Founding President and CEO, Accel-Rx Health Sciences
Accelerator (Vancouver, BC)

Fred Gault, Professorial Fellow, United Nations University-MERIT (Maastricht,
Netherlands)

Patrick D. Germain, Principal Engineering Specialist, Advanced Aerodynamics,
Bombardier Aerospace (Montréal, QC)

Robert Brian Haynes, O.C., FRSC, FCAHS, Professor Emeritus, DeGroote
School of Medicine, McMaster University (Hamilton, ON)

Susan Holt, Chief, Innovation and Business Relationships, Government of
New Brunswick (Fredericton, NB)

Pierre A. Mohnen, Professor, United Nations University-MERIT and Maastricht
University (Maastricht, Netherlands)

Peter J. M. Nicholson, C.M., Retired; Former and Founding President and
CEO, Council of Canadian Academies (Annapolis Royal, NS)

Raymond G. Siemens, Distinguished Professor, English and Computer Science
and Former Canada Research Chair in Humanities Computing, University of
Victoria (Victoria, BC) [pp. xii- xiv Print; pp. 15-16 PDF]

The proportion of women to men as reviewers jumped up to about 36% (4 of 11 reviewers) and there are two reviewers from the Maritime provinces. As usual, reviewers external to Canada were from Europe. Although this time, they came from Dutch institutions rather than UK or German institutions. Interestingly and unusually, there was no one from a US institution. When will they start using reviewers from other parts of the world?

As for the report itself, it is 244 pp. (PDF). (For the really curious, I have a  December 15, 2016 post featuring my comments on the preliminary data for the third assessment.)

To sum up, they had a lean expert panel tasked with bringing together two inquiries and two reports. I imagine that was daunting. Good on them for finding a way to make it manageable.

Bibliometrics, patents, and a survey

I wish more attention had been paid to some of the issues around open science, open access, and open data, which are changing how science is being conducted. (I have more about this from an April 5, 2018 article by James Somers for The Atlantic but more about that later.) If I understand rightly, they may not have been possible due to the nature of the questions posed by the government when requested the assessment.

As was done for the second assessment, there is an acknowledgement that the standard measures/metrics (bibliometrics [no. of papers published, which journals published them; number of times papers were cited] and technometrics [no. of patent applications, etc.] of scientific accomplishment and progress are not the best and new approaches need to be developed and adopted (from the report released April 10, 2018),

It is also worth noting that the Panel itself recognized the limits that come from using traditional historic metrics. Additional approaches will be needed the next time this assessment is done. [p. ix Print; p. 11 PDF]

For the second assessment and as a means of addressing some of the problems with metrics, the panel decided to take a survey which the panel for the third assessment has also done (from the report released April 10, 2018),

The Panel relied on evidence from multiple sources to address its charge, including a literature review and data extracted from statistical agencies and organizations such as Statistics Canada and the OECD. For international comparisons, the Panel focused on OECD countries along with developing countries that are among the top 20 producers of peer-reviewed research publications (e.g., China, India, Brazil, Iran, Turkey). In addition to the literature review, two primary research approaches informed the Panel’s assessment:
•a comprehensive bibliometric and technometric analysis of Canadian research publications and patents; and,
•a survey of top-cited researchers around the world.

Despite best efforts to collect and analyze up-to-date information, one of the Panel’s findings is that data limitations continue to constrain the assessment of R&D activity and excellence in Canada. This is particularly the case with industrial R&D and in the social sciences, arts, and humanities. Data on industrial R&D activity continue to suffer from time lags for some measures, such as internationally comparable data on R&D intensity by sector and industry. These data also rely on industrial categories (i.e., NAICS and ISIC codes) that can obscure important trends, particularly in the services sector, though Statistics Canada’s recent revisions to how this data is reported have improved this situation. There is also a lack of internationally comparable metrics relating to R&D outcomes and impacts, aside from those based on patents.

For the social sciences, arts, and humanities, metrics based on journal articles and other indexed publications provide an incomplete and uneven picture of research contributions. The expansion of bibliometric databases and methodological improvements such as greater use of web-based metrics, including paper views/downloads and social media references, will support ongoing, incremental improvements in the availability and accuracy of data. However, future assessments of R&D in Canada may benefit from more substantive integration of expert review, capable of factoring in different types of research outputs (e.g., non-indexed books) and impacts (e.g., contributions to communities or impacts on public policy). The Panel has no doubt that contributions from the humanities, arts, and social sciences are of equal importance to national prosperity. It is vital that such contributions are better measured and assessed. [p. xvii Print; p. 19 PDF]

My reading: there’s a problem and we’re not going to try and fix it this time. Good luck to those who come after us. As for this line: “The Panel has no doubt that contributions from the humanities, arts, and social sciences are of equal importance to national prosperity.” Did no one explain that when you use ‘no doubt’, you are introducing doubt? It’s a cousin to ‘don’t take this the wrong way’ and ‘I don’t mean to be rude but …’ .

Good news

This is somewhat encouraging (from the report released April 10, 2018),

Canada’s international reputation for its capacity to participate in cutting-edge R&D is strong, with 60% of top-cited researchers surveyed internationally indicating that Canada hosts world-leading infrastructure or programs in their fields. This share increased by four percentage points between 2012 and 2017. Canada continues to benefit from a highly educated population and deep pools of research skills and talent. Its population has the highest level of educational attainment in the OECD in the proportion of the population with
a post-secondary education. However, among younger cohorts (aged 25 to 34), Canada has fallen behind Japan and South Korea. The number of researchers per capita in Canada is on a par with that of other developed countries, andincreased modestly between 2004 and 2012. Canada’s output of PhD graduates has also grown in recent years, though it remains low in per capita terms relative to many OECD countries. [pp. xvii-xviii; pp. 19-20]

Don’t let your head get too big

Most of the report observes that our international standing is slipping in various ways such as this (from the report released April 10, 2018),

In contrast, the number of R&D personnel employed in Canadian businesses
dropped by 20% between 2008 and 2013. This is likely related to sustained and
ongoing decline in business R&D investment across the country. R&D as a share
of gross domestic product (GDP) has steadily declined in Canada since 2001,
and now stands well below the OECD average (Figure 1). As one of few OECD
countries with virtually no growth in total national R&D expenditures between
2006 and 2015, Canada would now need to more than double expenditures to
achieve an R&D intensity comparable to that of leading countries.

Low and declining business R&D expenditures are the dominant driver of this
trend; however, R&D spending in all sectors is implicated. Government R&D
expenditures declined, in real terms, over the same period. Expenditures in the
higher education sector (an indicator on which Canada has traditionally ranked
highly) are also increasing more slowly than the OECD average. Significant
erosion of Canada’s international competitiveness and capacity to participate
in R&D and innovation is likely to occur if this decline and underinvestment
continue.

Between 2009 and 2014, Canada produced 3.8% of the world’s research
publications, ranking ninth in the world. This is down from seventh place for
the 2003–2008 period. India and Italy have overtaken Canada although the
difference between Italy and Canada is small. Publication output in Canada grew
by 26% between 2003 and 2014, a growth rate greater than many developed
countries (including United States, France, Germany, United Kingdom, and
Japan), but below the world average, which reflects the rapid growth in China
and other emerging economies. Research output from the federal government,
particularly the National Research Council Canada, dropped significantly
between 2009 and 2014.(emphasis mine)  [p. xviii Print; p. 20 PDF]

For anyone unfamiliar with Canadian politics,  2009 – 2014 were years during which Stephen Harper’s Conservatives formed the government. Justin Trudeau’s Liberals were elected to form the government in late 2015.

During Harper’s years in government, the Conservatives were very interested in changing how the National Research Council of Canada operated and, if memory serves, the focus was on innovation over research. Consequently, the drop in their research output is predictable.

Given my interest in nanotechnology and other emerging technologies, this popped out (from the report released April 10, 2018),

When it comes to research on most enabling and strategic technologies, however, Canada lags other countries. Bibliometric evidence suggests that, with the exception of selected subfields in Information and Communication Technologies (ICT) such as Medical Informatics and Personalized Medicine, Canada accounts for a relatively small share of the world’s research output for promising areas of technology development. This is particularly true for Biotechnology, Nanotechnology, and Materials science [emphasis mine]. Canada’s research impact, as reflected by citations, is also modest in these areas. Aside from Biotechnology, none of the other subfields in Enabling and Strategic Technologies has an ARC rank among the top five countries. Optoelectronics and photonics is the next highest ranked at 7th place, followed by Materials, and Nanoscience and Nanotechnology, both of which have a rank of 9th. Even in areas where Canadian researchers and institutions played a seminal role in early research (and retain a substantial research capacity), such as Artificial Intelligence and Regenerative Medicine, Canada has lost ground to other countries.

Arguably, our early efforts in artificial intelligence wouldn’t have garnered us much in the way of ranking and yet we managed some cutting edge work such as machine learning. I’m not suggesting the expert panel should have or could have found some way to measure these kinds of efforts but I’m wondering if there could have been some acknowledgement in the text of the report. I’m thinking a couple of sentences in a paragraph about the confounding nature of scientific research where areas that are ignored for years and even decades then become important (e.g., machine learning) but are not measured as part of scientific progress until after they are universally recognized.

Still, point taken about our diminishing returns in ’emerging’ technologies and sciences (from the report released April 10, 2018),

The impression that emerges from these data is sobering. With the exception of selected ICT subfields, such as Medical Informatics, bibliometric evidence does not suggest that Canada excels internationally in most of these research areas. In areas such as Nanotechnology and Materials science, Canada lags behind other countries in levels of research output and impact, and other countries are outpacing Canada’s publication growth in these areas — leading to declining shares of world publications. Even in research areas such as AI, where Canadian researchers and institutions played a foundational role, Canadian R&D activity is not keeping pace with that of other countries and some researchers trained in Canada have relocated to other countries (Section 4.4.1). There are isolated exceptions to these trends, but the aggregate data reviewed by this Panel suggest that Canada is not currently a world leader in research on most emerging technologies.

The Hedy Lamarr treatment

We have ‘good looks’ (arts and humanities) but not the kind of brains (physical sciences and engineering) that people admire (from the report released April 10, 2018),

Canada, relative to the world, specializes in subjects generally referred to as the
humanities and social sciences (plus health and the environment), and does
not specialize as much as others in areas traditionally referred to as the physical
sciences and engineering. Specifically, Canada has comparatively high levels
of research output in Psychology and Cognitive Sciences, Public Health and
Health Services, Philosophy and Theology, Earth and Environmental Sciences,
and Visual and Performing Arts. [emphases mine] It accounts for more than 5% of world researchin these fields. Conversely, Canada has lower research output than expected
in Chemistry, Physics and Astronomy, Enabling and Strategic Technologies,
Engineering, and Mathematics and Statistics. The comparatively low research
output in core areas of the natural sciences and engineering is concerning,
and could impair the flexibility of Canada’s research base, preventing research
institutions and researchers from being able to pivot to tomorrow’s emerging
research areas. [p. xix Print; p. 21 PDF]

Couldn’t they have used a more buoyant tone? After all, science was known as ‘natural philosophy’ up until the 19th century. As for visual and performing arts, let’s include poetry as a performing and literary art (both have been the case historically and cross-culturally) and let’s also note that one of the great physics texts, (De rerum natura by Lucretius) was a multi-volume poem (from Lucretius’ Wikipedia entry; Note: Links have been removed).

His poem De rerum natura (usually translated as “On the Nature of Things” or “On the Nature of the Universe”) transmits the ideas of Epicureanism, which includes Atomism [the concept of atoms forming materials] and psychology. Lucretius was the first writer to introduce Roman readers to Epicurean philosophy.[15] The poem, written in some 7,400 dactylic hexameters, is divided into six untitled books, and explores Epicurean physics through richly poetic language and metaphors. Lucretius presents the principles of atomism; the nature of the mind and soul; explanations of sensation and thought; the development of the world and its phenomena; and explains a variety of celestial and terrestrial phenomena. The universe described in the poem operates according to these physical principles, guided by fortuna, “chance”, and not the divine intervention of the traditional Roman deities.[16]

Should you need more proof that the arts might have something to contribute to physical sciences, there’s this in my March 7, 2018 posting,

It’s not often you see research that combines biologically inspired engineering and a molecular biophysicist with a professional animator who worked at Peter Jackson’s (Lord of the Rings film trilogy, etc.) Park Road Post film studio. An Oct. 18, 2017 news item on ScienceDaily describes the project,

Like many other scientists, Don Ingber, M.D., Ph.D., the Founding Director of the Wyss Institute, [emphasis mine] is concerned that non-scientists have become skeptical and even fearful of his field at a time when technology can offer solutions to many of the world’s greatest problems. “I feel that there’s a huge disconnect between science and the public because it’s depicted as rote memorization in schools, when by definition, if you can memorize it, it’s not science,” says Ingber, who is also the Judah Folkman Professor of Vascular Biology at Harvard Medical School and the Vascular Biology Program at Boston Children’s Hospital, and Professor of Bioengineering at the Harvard Paulson School of Engineering and Applied Sciences (SEAS). [emphasis mine] “Science is the pursuit of the unknown. We have a responsibility to reach out to the public and convey that excitement of exploration and discovery, and fortunately, the film industry is already great at doing that.”

“Not only is our physics-based simulation and animation system as good as other data-based modeling systems, it led to the new scientific insight [emphasis mine] that the limited motion of the dynein hinge focuses the energy released by ATP hydrolysis, which causes dynein’s shape change and drives microtubule sliding and axoneme motion,” says Ingber. “Additionally, while previous studies of dynein have revealed the molecule’s two different static conformations, our animation visually depicts one plausible way that the protein can transition between those shapes at atomic resolution, which is something that other simulations can’t do. The animation approach also allows us to visualize how rows of dyneins work in unison, like rowers pulling together in a boat, which is difficult using conventional scientific simulation approaches.”

It comes down to how we look at things. Yes, physical sciences and engineering are very important. If the report is to be believed we have a very highly educated population and according to PISA scores our students rank highly in mathematics, science, and reading skills. (For more information on Canada’s latest PISA scores from 2015 see this OECD page. As for PISA itself, it’s an OECD [Organization for Economic Cooperation and Development] programme where 15-year-old students from around the world are tested on their reading, mathematics, and science skills, you can get some information from my Oct. 9, 2013 posting.)

Is it really so bad that we choose to apply those skills in fields other than the physical sciences and engineering? It’s a little bit like Hedy Lamarr’s problem except instead of being judged for our looks and having our inventions dismissed, we’re being judged for not applying ourselves to physical sciences and engineering and having our work in other closely aligned fields dismissed as less important.

Canada’s Industrial R&D: an oft-told, very sad story

Bemoaning the state of Canada’s industrial research and development efforts has been a national pastime as long as I can remember. Here’s this from the report released April 10, 2018,

There has been a sustained erosion in Canada’s industrial R&D capacity and competitiveness. Canada ranks 33rd among leading countries on an index assessing the magnitude, intensity, and growth of industrial R&D expenditures. Although Canada is the 11th largest spender, its industrial R&D intensity (0.9%) is only half the OECD average and total spending is declining (−0.7%). Compared with G7 countries, the Canadian portfolio of R&D investment is more concentrated in industries that are intrinsically not as R&D intensive. Canada invests more heavily than the G7 average in oil and gas, forestry, machinery and equipment, and finance where R&D has been less central to business strategy than in many other industries. …  About 50% of Canada’s industrial R&D spending is in high-tech sectors (including industries such as ICT, aerospace, pharmaceuticals, and automotive) compared with the G7 average of 80%. Canadian Business Enterprise Expenditures on R&D (BERD) intensity is also below the OECD average in these sectors. In contrast, Canadian investment in low and medium-low tech sectors is substantially higher than the G7 average. Canada’s spending reflects both its long-standing industrial structure and patterns of economic activity.

R&D investment patterns in Canada appear to be evolving in response to global and domestic shifts. While small and medium-sized enterprises continue to perform a greater share of industrial R&D in Canada than in the United States, between 2009 and 2013, there was a shift in R&D from smaller to larger firms. Canada is an increasingly attractive place to conduct R&D. Investment by foreign-controlled firms in Canada has increased to more than 35% of total R&D investment, with the United States accounting for more than half of that. [emphasis mine]  Multinational enterprises seem to be increasingly locating some of their R&D operations outside their country of ownership, possibly to gain proximity to superior talent. Increasing foreign-controlled R&D, however, also could signal a long-term strategic loss of control over intellectual property (IP) developed in this country, ultimately undermining the government’s efforts to support high-growth firms as they scale up. [pp. xxii-xxiii Print; pp. 24-25 PDF]

Canada has been known as a ‘branch plant’ economy for decades. For anyone unfamiliar with the term, it means that companies from other countries come here, open up a branch and that’s how we get our jobs as we don’t have all that many large companies here. Increasingly, multinationals are locating R&D shops here.

While our small to medium size companies fund industrial R&D, it’s large companies (multinationals) which can afford long-term and serious investment in R&D. Luckily for companies from other countries, we have a well-educated population of people looking for jobs.

In 2017, we opened the door more widely so we can scoop up talented researchers and scientists from other countries, from a June 14, 2017 article by Beckie Smith for The PIE News,

Universities have welcomed the inclusion of the work permit exemption for academic stays of up to 120 days in the strategy, which also introduces expedited visa processing for some highly skilled professions.

Foreign researchers working on projects at a publicly funded degree-granting institution or affiliated research institution will be eligible for one 120-day stay in Canada every 12 months.

And universities will also be able to access a dedicated service channel that will support employers and provide guidance on visa applications for foreign talent.

The Global Skills Strategy, which came into force on June 12 [2017], aims to boost the Canadian economy by filling skills gaps with international talent.

As well as the short term work permit exemption, the Global Skills Strategy aims to make it easier for employers to recruit highly skilled workers in certain fields such as computer engineering.

“Employers that are making plans for job-creating investments in Canada will often need an experienced leader, dynamic researcher or an innovator with unique skills not readily available in Canada to make that investment happen,” said Ahmed Hussen, Minister of Immigration, Refugees and Citizenship.

“The Global Skills Strategy aims to give those employers confidence that when they need to hire from abroad, they’ll have faster, more reliable access to top talent.”

Coincidentally, Microsoft, Facebook, Google, etc. have announced, in 2017, new jobs and new offices in Canadian cities. There’s a also Chinese multinational telecom company Huawei Canada which has enjoyed success in Canada and continues to invest here (from a Jan. 19, 2018 article about security concerns by Matthew Braga for the Canadian Broadcasting Corporation (CBC) online news,

For the past decade, Chinese tech company Huawei has found no shortage of success in Canada. Its equipment is used in telecommunications infrastructure run by the country’s major carriers, and some have sold Huawei’s phones.

The company has struck up partnerships with Canadian universities, and say it is investing more than half a billion dollars in researching next generation cellular networks here. [emphasis mine]

While I’m not thrilled about using patents as an indicator of progress, this is interesting to note (from the report released April 10, 2018),

Canada produces about 1% of global patents, ranking 18th in the world. It lags further behind in trademark (34th) and design applications (34th). Despite relatively weak performance overall in patents, Canada excels in some technical fields such as Civil Engineering, Digital Communication, Other Special Machines, Computer Technology, and Telecommunications. [emphases mine] Canada is a net exporter of patents, which signals the R&D strength of some technology industries. It may also reflect increasing R&D investment by foreign-controlled firms. [emphasis mine] [p. xxiii Print; p. 25 PDF]

Getting back to my point, we don’t have large companies here. In fact, the dream for most of our high tech startups is to build up the company so it’s attractive to buyers, sell, and retire (hopefully before the age of 40). Strangely, the expert panel doesn’t seem to share my insight into this matter,

Canada’s combination of high performance in measures of research output and impact, and low performance on measures of industrial R&D investment and innovation (e.g., subpar productivity growth), continue to be viewed as a paradox, leading to the hypothesis that barriers are impeding the flow of Canada’s research achievements into commercial applications. The Panel’s analysis suggests the need for a more nuanced view. The process of transforming research into innovation and wealth creation is a complex multifaceted process, making it difficult to point to any definitive cause of Canada’s deficit in R&D investment and productivity growth. Based on the Panel’s interpretation of the evidence, Canada is a highly innovative nation, but significant barriers prevent the translation of innovation into wealth creation. The available evidence does point to a number of important contributing factors that are analyzed in this report. Figure 5 represents the relationships between R&D, innovation, and wealth creation.

The Panel concluded that many factors commonly identified as points of concern do not adequately explain the overall weakness in Canada’s innovation performance compared with other countries. [emphasis mine] Academia-business linkages appear relatively robust in quantitative terms given the extent of cross-sectoral R&D funding and increasing academia-industry partnerships, though the volume of academia-industry interactions does not indicate the nature or the quality of that interaction, nor the extent to which firms are capitalizing on the research conducted and the resulting IP. The educational system is high performing by international standards and there does not appear to be a widespread lack of researchers or STEM (science, technology, engineering, and mathematics) skills. IP policies differ across universities and are unlikely to explain a divergence in research commercialization activity between Canadian and U.S. institutions, though Canadian universities and governments could do more to help Canadian firms access university IP and compete in IP management and strategy. Venture capital availability in Canada has improved dramatically in recent years and is now competitive internationally, though still overshadowed by Silicon Valley. Technology start-ups and start-up ecosystems are also flourishing in many sectors and regions, demonstrating their ability to build on research advances to develop and deliver innovative products and services.

You’ll note there’s no mention of a cultural issue where start-ups are designed for sale as soon as possible and this isn’t new. Years ago, there was an accounting firm that published a series of historical maps (the last one I saw was in 2005) of technology companies in the Vancouver region. Technology companies were being developed and sold to large foreign companies from the 19th century to present day.

Part 2

Book commentaries: The Science of Orphan Black: The Official Companion and Star Trek Treknology; The Science of Star Trek from Tricorders to Warp Drive

I got more than I expected from both books (“The Science of Orphan Black: The Official Companion” by Casey Griffin and Nina Nesseth and “Star Trek Treknology; The Science of Star Trek from Tricorders to Warp Drive” by Ethan Siegel) I’m going to discuss by changing my expectations.

The Science of Orphan Black: The Official Companion

I had expected a book about the making of the series with a few insider stories about the production along with some science. Instead, I was treated to a season by season breakdown of the major scientific and related ethical issues in the fields of cloning and genetics.I don’t follow those areas exhaustively but from my inexpert perspective, the authors covered everything I could have hoped for (e.g., CRISPR/CAS9, Henrietta Lacks, etc.) in an accessible but demanding writing style  In other words, it’s a good read but it’s not a light read.

There are many, many pictures of Tatiana Maslany as one of her various clone identities in the book. Unfortunately, the images do not boast good reproduction values. This was disconcerting as it can lead a reader (yes, that was me) to false expectations (e.g., this is a picture book) concerning the contents. The boxed snippets from the scripts and explanatory notes inset into the text helped to break up some of the more heavy going material while providing additional historical/scripting/etc. perspectives. One small niggle, the script snippets weren’t always as relevant to the discussion at hand as the authors no doubt hoped.

I suggest reading both the Foreword by Cosima Herter, the series science consultant, and (although it could have done with a little editing) The Conversation between Cosima Herter and Graeme Manson (one of the producers). That’s where you’ll find that the series seems to have been incubated in Vancouver, Canada. It’s also where you’ll find out how much of Cosima Herter’s real life story is included in the Cosima clone’s life story.

The Introduction tells you how the authors met (as members of ‘the clone club’) and started working together as recappers for the series. (For anyone unfamiliar with the phenomenon or terminology, episodes of popular series are recapitulated [recapped] on one or more popular websites. These may or may not be commercial, i.e., some are fan sites.)

One of the authors, Casey Griffin, is a PhD candidate at the University of Southern California (USC) studying in the field of developmental and stem cell biology. I was not able to get much more information but did find her LinkedIn profile. The other author also has a science background. Nina Nesseth is described as a science communicator on the back cover of the book but she’s described as a staff scientist for Science North, a science centre located in Sudbury, Ontario, Canada. Her LinkedIn profile lists an honours Bachelor of Science (Biological and Medical Sciences) from Laurentian University, also located in Sudbury, Ontario.

It’s no surprise, given the authors’ educational background, that a bibliography (selected) has been included. This is something I very much appreciated. Oddly, given that Nesseth lists a graduate certificate in publishing as one of her credentials (on LinkedIn), there is no index (!?!). Unusually, the copyright page is at the back of the book instead of the front and boasts a fairly harsh copyright notice (summary: don’t copy anything, ever … unless you get written permission from ECW Press and the other copyright owners; Note: Herter is the copyright owner of her Foreword while the authors own the rest).

There are logos on the copyright page—more than I’m accustomed to seeing. Interestingly, two of them are government logos. It seems that taxpayers contributed to the publication of this book. The copyright notice seems a little facey to me since taxpayers (at least partially) subsidized the book, as well, Canadian copyright law has a concept called fair dealing (in the US, there’s something similar: fair use). In other words, if I chose, I could copy portions of the text without asking for permission if there’s no intent to profit from it and as long as I give attributions.

How, for example, could anyone profit from this?

In fact, in January 2017, Jun Wu and colleagues published their success in creating pig-human hybrids. (description of real research on chimeras on p. 98)

Or this snippet of dialogue,

[Charlotte] You’re my big sister.

[Sarah] How old are you? (p. 101)

All the quoted text is from “The Science of Orphan Black: The Official Companion” by Casey Griffin and Nina Nesseth (paperback published August 22, 2017).

On the subject of chimeras, the Canadian Broadcasting Corporation (CBC) featured a January 26, 2017 article about the pig-human chimeras on its website along with a video,

Getting back to the book, copyright silliness aside, it’s a good book for anyone interested in some of the  science and the issues associated with biotechnology, synthetic biology, genomes, gene editing technologies, chimeras, and more. I don’t think you need to have seen the series in order to appreciate the book.

Star Trek Treknology; The Science of Star Trek from Tricorders to Warp Drive

This looks and feels like a coffee table book. The images in this book are of a much higher quality than those in the ‘Orphan Black’ book. With thicker paper and extensive ink coverage lending to its glossy, attractive looks, it’s a physically heavy book. The unusually heavy use of black ink  would seem to be in service of conveying the feeling that you are exploring the far reaches of outer space.

It’s clear that “Star Trek Treknology; The Science of Star Trek from Tricorders to Warp Drive’s” author, Ethan Siegel, PhD., is a serious Star Trek and space travel fan. All of the series and movies are referenced at one time or another in the book in relationship to technology (treknology).

Unlike Siegel, while I love science fiction and Star Trek, I have never been personally interested in space travel. Regardless, Siegel did draw me in with his impressive ability to describe and explain physics-related ideas. Unfortunately, his final chapter on medical and biological ‘treknology’ is not as good. He covers a wide range of topics but no one is an expert on everything.

Siegel has a Wikipedia entry, which notes this (Note: Links have been removed),

Ethan R. Siegel (August 3, 1978, Bronx)[1] is an American theoretical astrophysicist and science writer, who studies Big Bang theory. He is a professor at Lewis & Clark College and he blogs at Starts With a Bang, on ScienceBlogs and also on Forbes.com since 2016.

By contrast with the ‘Orphan Black’ book, the tone is upbeat. It’s one of the reasons Siegel appreciates Star Trek in its various iterations,

As we look at the real-life science and technology behind the greatest advances anticipated by Star Trek, it’s worth remembering that the greatest legacy of the show is its message of hope. The future can be brighter and better than our past or present has ever been. It’s our continuing mission to make it so. (p. 6)

All the quoted text is from “Star Trek Treknology; The Science of Star Trek from Tricorders to Warp Drive” by Ethan Siegel (hard cover published October 15, 2017).

This book too has one of those copyright notices that fail to note you don’t need permission when it’s fair dealing to copy part of the text. While it does have an index, it’s on the anemic side and, damningly, there are neither bibliography nor reference notes of any sort. If Siegel hadn’t done such a good writing job, I might not have been so distressed.

For example, it’s frustrating for someone like me who’s been trying to get information on cortical/neural  implants and finds this heretofore unknown and intriguing tidbit in Siegel’s text,

In 2016, the very first successful cortical implant into a patient with ALS [amyotrophic lateral sclerosis] was completed, marking the very first fully implanted brain-computer interface in a human being. (p. 180)

Are we talking about the Australia team, which announced human clinical trials for their neural/cortical implant (my February 15, 2016 posting) or was it preliminary work by a team in Ohio (US) which later (?) announced a successful implant for a quadriplegic (also known as tetraplegic) patient who was then able to move hands and fingers (see my April 19, 2016 posting)? Or is it an entirely different team?

One other thing, I was a bit surprised to see no mention of quantum or neuromorphic computing in the chapter on computing. I don’t believe either was part of the Star Trek universe but they (neuromorphic and quantum computing) are important developments and Siegel makes a point, on at least a few occasions, of contrasting present day research with what was and wasn’t ‘predicted’ by Star Trek.

As for the ‘predictions’, there’s a longstanding interplay between storytellers and science and sometimes it can be a little hard to figure out which came first. I think Siegel might have emphasized that give and take a bit more.

Regardless of my nitpicking, Siegel is a good writer and managed to put an astonishing amount of ‘educational’ material into a lively and engaging book. That is not easy.

Final thoughts

I enjoyed both books and am very excited to see grounded science being presented along with the fictional stories of both universes (Star Trek and Orphan Black).

Yes, both books have their shortcomings (harsh copyright notices, no index, no bibliography, no reference notes, etc.) but in the main they offer adults who are sufficiently motivated a wealth of current scientific and technical information along with some elucidation of ethical issues.

World heritage music stored in DNA

It seems a Swiss team from the École Polytechnique de Lausanne (EPFL) have collaborated with American companies Twist Bioscience and Microsoft, as well as, the University of Washington (state) to preserve two iconic jazz pieces on DNA (deoxyribonucleic acid) according to a Sept. 29, 2017 news item on phys.org,,

Thanks to an innovative technology for encoding data in DNA strands, two items of world heritage – songs recorded at the Montreux Jazz Festival [held in Switzerland] and digitized by EPFL – have been safeguarded for eternity. This marks the first time that cultural artifacts granted UNESCO heritage status have been saved in such a manner, ensuring they are preserved for thousands of years. The method was developed by US company Twist Bioscience and is being unveiled today in a demonstrator created at the EPFL+ECAL Lab.

“Tutu” by Miles Davis and “Smoke on the Water” by Deep Purple have already made their mark on music history. Now they have entered the annals of science, for eternity. Recordings of these two legendary songs were digitized by the Ecole Polytechnique Fédérale de Lausanne (EPFL) as part of the Montreux Jazz Digital Project, and they are the first to be stored in the form of a DNA sequence that can be subsequently decoded and listened to without any reduction in quality.

A Sept. 29, 2017 EPFL press release by Emmanuel Barraud, which originated the news item, provides more details,

This feat was achieved by US company Twist Bioscience working in association with Microsoft Research and the University of Washington. The pioneering technology is actually based on a mechanism that has been at work on Earth for billions of years: storing information in the form of DNA strands. This fundamental process is what has allowed all living species, plants and animals alike, to live on from generation to generation.

The entire world wide web in a shoe box

All electronic data storage involves encoding data in binary format – a series of zeros and ones – and then recording it on a physical medium. DNA works in a similar way, but is composed of long strands of series of four nucleotides (A, T, C and G) that make up a “code.” While the basic principle may be the same, the two methods differ greatly in terms of efficiency: if all the information currently on the internet was stored in the form of DNA, it would fit in a shoe box!

Recent advances in biotechnology now make it possible for humans to do what Mother Nature has always done. Today’s scientists can create artificial DNA strands, “record” any kind of genetic code on them and then analyze them using a sequencer to reconstruct the original data. What’s more, DNA is extraordinarily stable, as evidenced by prehistoric fragments that have been preserved in amber. Artificial strands created by scientists and carefully encapsulated should likewise last for millennia.

To help demonstrate the feasibility of this new method, EPFL’s Metamedia Center provided recordings of two famous songs played at the Montreux Jazz Festival: “Tutu” by Miles Davis, and “Smoke on the Water” by Deep Purple. Twist Bioscience and its research partners encoded the recordings, transformed them into DNA strands and then sequenced and decoded them and played them again – without any reduction in quality.

The amount of artificial DNA strands needed to record the two songs is invisible to the naked eye, and the amount needed to record all 50 years of the Festival’s archives, which have been included in UNESCO’s [United Nations Educational, Scientific and Cultural Organization] Memory of the World Register, would be equal in size to a grain of sand. “Our partnership with EPFL in digitizing our archives aims not only at their positive exploration, but also at their preservation for the next generations,” says Thierry Amsallem, president of the Claude Nobs Foundation. “By taking part in this pioneering experiment which writes the songs into DNA strands, we can be certain that they will be saved on a medium that will never become obsolete!”

A new concept of time

At EPFL’s first-ever ArtTech forum, attendees got to hear the two songs played after being stored in DNA, using a demonstrator developed at the EPFL+ECAL Lab. The system shows that being able to store data for thousands of years is a revolutionary breakthrough that can completely change our relationship with data, memory and time. “For us, it means looking into radically new ways of interacting with cultural heritage that can potentially cut across civilizations,” says Nicolas Henchoz, head of the EPFL+ECAL Lab.

Quincy Jones, a longstanding Festival supporter, is particularly enthusiastic about this technological breakthrough: “With advancements in nanotechnology, I believe we can expect to see people living prolonged lives, and with that, we can also expect to see more developments in the enhancement of how we live. For me, life is all about learning where you came from in order to get where you want to go, but in order to do so, you need access to history! And with the unreliability of how archives are often stored, I sometimes worry that our future generations will be left without such access… So, it absolutely makes my soul smile to know that EPFL, Twist Bioscience and their partners are coming together to preserve the beauty and history of the Montreux Jazz Festival for our future generations, on DNA! I’ve been a part of this festival for decades and it truly is a magnificent representation of what happens when different cultures unite for the sake of music. Absolute magic. And I’m proud to know that the memory of this special place will never be lost.

A Sept. 29, 2017 Twist Bioscience news release is repetitive in some ways but interesting nonetheless,

Twist Bioscience, a company accelerating science and innovation through rapid, high-quality DNA synthesis, today announced that, working with Microsoft and University of Washington researchers, they have successfully stored archival-quality audio recordings of two important music performances from the archives of the world-renowned Montreux Jazz Festival.
These selections are encoded and stored in nature’s preferred storage medium, DNA, for the first time. These tiny specks of DNA will preserve a part of UNESCO’s Memory of the World Archive, where valuable cultural heritage collections are recorded. This is the first time DNA has been used as a long-term archival-quality storage medium.
Quincy Jones, world-renowned Entertainment Executive, Music Composer and Arranger, Musician and Music Producer said, “With advancements in nanotechnology, I believe we can expect to see people living prolonged lives, and with that, we can also expect to see more developments in the enhancement of how we live. For me, life is all about learning where you came from in order to get where you want to go, but in order to do so, you need access to history! And with the unreliability of how archives are often stored, I sometimes worry that our future generations will be left without such access…So, it absolutely makes my soul smile to know that EPFL, Twist Bioscience and others are coming together to preserve the beauty and history of the Montreux Jazz Festival for our future generations, on DNA!…I’ve been a part of this festival for decades and it truly is a magnificent representation of what happens when different cultures unite for the sake of music. Absolute magic. And I’m proud to know that the memory of this special place will never be lost.”
“Our partnership with EPFL in digitizing our archives aims not only at their positive exploration, but also at their preservation for the next generations,” says Thierry Amsallem, president of the Claude Nobs Foundation. “By taking part in this pioneering experiment which writes the songs into DNA strands, we can be certain that they will be saved on a medium that will never become obsolete!”
The Montreux Jazz Digital Project is a collaboration between the Claude Nobs Foundation, curator of the Montreux Jazz Festival audio-visual collection and the École Polytechnique Fédérale de Lausanne (EPFL) to digitize, enrich, store, show, and preserve this notable legacy created by Claude Nobs, the Festival’s founder.
In this proof-of-principle project, two quintessential music performances from the Montreux Jazz Festival – Smoke on the Water, performed by Deep Purple and Tutu, performed by Miles Davis – have been encoded onto DNA and read back with 100 percent accuracy. After being decoded, the songs were played on September 29th [2017] at the ArtTech Forum (see below) in Lausanne, Switzerland. Smoke on the Water was selected as a tribute to Claude Nobs, the Montreux Jazz Festival’s founder. The song memorializes a fire and Funky Claude’s rescue efforts at the Casino Barrière de Montreux during a Frank Zappa concert promoted by Claude Nobs. Miles Davis’ Tutu was selected for the role he played in music history and the Montreux Jazz Festival’s success. Miles Davis died in 1991.
“We archived two magical musical pieces on DNA of this historic collection, equating to 140MB of stored data in DNA,” said Karin Strauss, Ph.D., a Senior Researcher at Microsoft, and one of the project’s leaders.  “The amount of DNA used to store these songs is much smaller than one grain of sand. Amazingly, storing the entire six petabyte Montreux Jazz Festival’s collection would result in DNA smaller than one grain of rice.”
Luis Ceze, Ph.D., a professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington, said, “DNA, nature’s preferred information storage medium, is an ideal fit for digital archives because of its durability, density and eternal relevance. Storing items from the Montreux Jazz Festival is a perfect way to show how fast DNA digital data storage is becoming real.”
Nature’s Preferred Storage Medium
Nature selected DNA as its hard drive billions of years ago to encode all the genetic instructions necessary for life. These instructions include all the information necessary for survival. DNA molecules encode information with sequences of discrete units. In computers, these discrete units are the 0s and 1s of “binary code,” whereas in DNA molecules, the units are the four distinct nucleotide bases: adenine (A), cytosine (C), guanine (G) and thymine (T).
“DNA is a remarkably efficient molecule that can remain stable for millennia,” said Bill Peck, Ph.D., chief technology officer of Twist Bioscience.  “This is a very exciting project: we are now in an age where we can use the remarkable efficiencies of nature to archive master copies of our cultural heritage in DNA.   As we develop the economies of this process new performances can be added any time.  Unlike current storage technologies, nature’s media will not change and will remain readable through time. There will be no new technology to replace DNA, nature has already optimized the format.”
DNA: Far More Efficient Than a Computer 
Each cell within the human body contains approximately three billion base pairs of DNA. With 75 trillion cells in the human body, this equates to the storage of 150 zettabytes (1021) of information within each body. By comparison, the largest data centers can be hundreds of thousands to even millions of square feet to hold a comparable amount of stored data.
The Elegance of DNA as a Storage Medium
Like music, which can be widely varied with a finite number of notes, DNA encodes individuality with only four different letters in varied combinations. When using DNA as a storage medium, there are several advantages in addition to the universality of the format and incredible storage density. DNA can be stable for thousands of years when stored in a cool dry place and is easy to copy using polymerase chain reaction to create back-up copies of archived material. In addition, because of PCR, small data sets can be targeted and recovered quickly from a large dataset without needing to read the entire file.
How to Store Digital Data in DNA
To encode the music performances into archival storage copies in DNA, Twist Bioscience worked with Microsoft and University of Washington researchers to complete four steps: Coding, synthesis/storage, retrieval and decoding. First, the digital files were converted from the binary code using 0s and 1s into sequences of A, C, T and G. For purposes of the example, 00 represents A, 10 represents C, 01 represents G and 11 represents T. Twist Bioscience then synthesizes the DNA in short segments in the sequence order provided. The short DNA segments each contain about 12 bytes of data as well as a sequence number to indicate their place within the overall sequence. This is the process of storage. And finally, to ensure that the file is stored accurately, the sequence is read back to ensure 100 percent accuracy, and then decoded from A, C, T or G into a two-digit binary representation.
Importantly, to encapsulate and preserve encoded DNA, the collaborators are working with Professor Dr. Robert Grass of ETH Zurich. Grass has developed an innovative technology inspired by preservation of DNA within prehistoric fossils.  With this technology, digital data encoded in DNA remains preserved for millennia.
About UNESCO’s Memory of the World Register
UNESCO established the Memory of the World Register in 1992 in response to a growing awareness of the perilous state of preservation of, and access to, documentary heritage in various parts of the world.  Through its National Commissions, UNESCO prepared a list of endangered library and archive holdings and a world list of national cinematic heritage.
A range of pilot projects employing contemporary technology to reproduce original documentary heritage on other media began. These included, for example, a CD-ROM of the 13th Century Radzivill Chronicle, tracing the origins of the peoples of Europe, and Memoria de Iberoamerica, a joint newspaper microfilming project involving seven Latin American countries. These projects enhanced access to this documentary heritage and contributed to its preservation.
“We are incredibly proud to be a part of this momentous event, with the first archived songs placed into the UNESCO Memory of the World Register,” said Emily Leproust, Ph.D., CEO of Twist Bioscience.
About ArtTech
The ArtTech Foundation, created by renowned scientists and dignitaries from Crans-Montana, Switzerland, wishes to stimulate reflection and support pioneering and innovative projects beyond the known boundaries of culture and science.
Benefitting from the establishment of a favorable environment for the creation of technology companies, the Foundation aims to position itself as key promoter of ideas and innovative endeavors within a landscape of “Culture and Science” that is still being shaped.
Several initiatives, including our annual global platform launched in the spring of 2017, are helping to create a community that brings together researchers, celebrities in the world of culture and the arts, as well as investors and entrepreneurs from Switzerland and across the globe.
 
About EPFL
EPFL, one of the two Swiss Federal Institutes of Technology, based in Lausanne, is Europe’s most cosmopolitan technical university with students, professors and staff from over 120 nations. A dynamic environment, open to Switzerland and the world, EPFL is centered on its three missions: teaching, research and technology transfer. EPFL works together with an extensive network of partners including other universities and institutes of technology, developing and emerging countries, secondary schools and colleges, industry and economy, political circles and the general public, to bring about real impact for society.
About Twist Bioscience
At Twist Bioscience, our expertise is accelerating science and innovation by leveraging the power of scale. We have developed a proprietary semiconductor-based synthetic DNA manufacturing process featuring a high throughput silicon platform capable of producing synthetic biology tools, including genes, oligonucleotide pools and variant libraries. By synthesizing DNA on silicon instead of on traditional 96-well plastic plates, our platform overcomes the current inefficiencies of synthetic DNA production, and enables cost-effective, rapid, high-quality and high throughput synthetic gene production, which in turn, expedites the design, build and test cycle to enable personalized medicines, pharmaceuticals, sustainable chemical production, improved agriculture production, diagnostics and biodetection. We are also developing new technologies to address large scale data storage. For more information, please visit www.twistbioscience.com. Twist Bioscience is on Twitter. Sign up to follow our Twitter feed @TwistBioscience at https://twitter.com/TwistBioscience.

If you hadn’t read the EPFL press release first, it might have taken a minute to figure out why EPFL is being mentioned in the Twist Bioscience news release. Presumably someone was rushing to make a deadline. Ah well, I’ve seen and written worse.

I haven’t been able to find any video or audio recordings of the DNA-preserved performances but there is an informational video (originally published July 7, 2016) from Microsoft and the University of Washington describing the DNA-based technology,

I also found this description of listening to the DNA-preserved music in an Oct. 6, 2017 blog posting for the Canadian Broadcasting Corporation’s (CBC) Day 6 radio programme,

To listen to them, one must first suspend the DNA holding the songs in a solution. Next, one can use a DNA sequencer to read the letters of the bases forming the molecules. Then, algorithms can determine the digital code those letters form. From that code, comes the music.

It’s complicated but Ceze says his team performed this process without error.

You can find out more about UNESCO’s Memory of the World and its register here , more about the EPFL+ECAL Lab here, and more about Twist Bioscience here.

CRISPR corn to come to market in 2020

It seems most of the recent excitement around CRISPR/CAS9 (clustered regularly interspaced short palindromic repeats) has focused on germline editing, specifically human embryos. Most people don’t realize that the first ‘CRISPR’ product is slated to enter the US market in 2020. A June 14, 2017 American Chemical Society news release (also on EurekAlert) provides a preview,

The gene-editing technique known as CRISPR/Cas9 made a huge splash in the news when it was initially announced. But the first commercial product, expected around 2020, could make it to the market without much fanfare: It’s a waxy corn destined to contribute to paper glue and food thickeners. The cover story of Chemical & Engineering News (C&EN), the weekly newsmagazine of the American Chemical Society, explores what else is in the works.

Melody M. Bomgardner, a senior editor at C&EN [Chemical & Engineering News], notes that compared to traditional biotechnology, CRISPR allows scientists to add and remove specific genes from organisms with greater speed, precision and oftentimes, at a lower cost. Among other things, it could potentially lead to higher quality cotton, non-browning mushrooms, drought-resistant corn and — finally — tasty, grocery store tomatoes.

Some hurdles remain, however, before more CRISPR products become available. Regulators are assessing how they should approach crops modified with the technique, which often (though not always) splices genes into a plant from within the species rather than introducing a foreign gene. And scientists still don’t understand all the genes in any given crop, much less know which ones might be good candidates for editing. Luckily, researchers can use CRISPR to find out.

Melody M. Bomgardner’s June 12, 2017 article for C&EN describes in detail how CRISPR could significantly change agriculture (Note: Links have been removed),

When the seed firm DuPont Pioneer first announced the new corn in early 2016, few people paid attention. Pharmaceutical companies using CRISPR for new drugs got the headlines instead.

But people should notice DuPont’s waxy corn because using CRISPR—an acronym for clustered regularly interspaced short palindromic repeats—to delete or alter traits in plants is changing the world of plant breeding, scientists say. Moreover, the technique’s application in agriculture is likely to reach the public years before CRISPR-aided drugs hit the market.

Until CRISPR tools were developed, the process of finding useful traits and getting them into reliable, productive plants took many years. It involved a lot of steps and was plagued by randomness.

“Now, because of basic research in the lab and in the field, we can go straight after the traits we want,” says Zachary Lippman, professor of biological sciences at Cold Spring Harbor Laboratory. CRISPR has been transformative, Lippman says. “It’s basically a freight train that’s not going to stop.”

Proponents hope consumers will embrace gene-edited crops in a way that they did not accept genetically engineered ones, especially because they needn’t involve the introduction of genes from other species—a process that gave rise to the specter of Frankenfood.

But it’s not clear how consumers will react or if gene editing will result in traits that consumers value. And the potential commercial uses of CRISPR may narrow if agriculture agencies in the U.S. and Europe decide to regulate gene-edited crops in the same way they do genetically engineered crops.

DuPont Pioneer expects the U.S. to treat its gene-edited waxy corn like a conventional crop because it does not contain any foreign genes, according to Neal Gutterson, the company’s vice president of R&D. In fact, the waxy trait already exists in some corn varieties. It gives the kernels a starch content of more than 97% amylopectin, compared with 75% amylopectin in regular feed corn. The rest of the kernel is amylose. Amylopectin is more soluble than amylose, making starch from waxy corn a better choice for paper adhesives and food thickeners.

Like most of today’s crops, DuPont’s current waxy corn varieties are the result of decades of effort by plant breeders using conventional breeding techniques.

Breeders identify new traits by examining unusual, or mutant, plants. Over many generations of breeding, they work to get a desired trait into high-performing (elite) varieties that lack the trait. They begin with a first-generation cross, or hybrid, of a mutant and an elite plant and then breed several generations of hybrids with the elite parent in a process called backcrossing. They aim to achieve a plant that best approximates the elite version with the new trait.

But it’s tough to grab only the desired trait from a mutant and make a clean getaway. DuPont’s plant scientists found that the waxy trait came with some genetic baggage; even after backcrossing, the waxy corn plant did not offer the same yield as elite versions without the trait. The disappointing outcome is common enough that it has its own term: yield drag.

Because the waxy trait is native to certain corn plants, DuPont did not have to rely on the genetic engineering techniques that breeders have used to make herbicide-tolerant and insect-resistant corn plants. Those commonly planted crops contain DNA from other species.

In addition to giving some consumers pause, that process does not precisely place the DNA into the host plant. So researchers must raise hundreds or thousands of modified plants to find the best ones with the desired trait and work to get that trait into each elite variety. Finally, plants modified with traditional genetic engineering need regulatory approval in the U.S. and other countries before they can be marketed.

Instead, DuPont plant scientists used CRISPR to zero in on, and partially knock out, a gene for an enzyme that produces amylose. By editing the gene directly, they created a waxy version of the elite corn without yield drag or foreign DNA.

Plant scientists who adopt gene editing may still need to breed, measure, and observe because traits might not work well together or bring a meaningful benefit. “It’s not a panacea,” Lippman says, “but it is one of the most powerful tools to come around, ever.”

It’s an interesting piece which answers the question of why tomatoes from the grocery store don’t taste good.

Emerging technology and the law

I have three news bits about legal issues that are arising as a consequence of emerging technologies.

Deep neural networks, art, and copyright

Caption: The rise of automated art opens new creative avenues, coupled with new problems for copyright protection. Credit: Provided by: Alexander Mordvintsev, Christopher Olah and Mike Tyka

Presumably this artwork is a demonstration of automated art although they never really do explain how in the news item/news release. An April 26, 2017 news item on ScienceDaily announces research into copyright and the latest in using neural networks to create art,

In 1968, sociologist Jean Baudrillard wrote on automatism that “contained within it is the dream of a dominated world […] that serves an inert and dreamy humanity.”

With the growing popularity of Deep Neural Networks (DNN’s), this dream is fast becoming a reality.

Dr. Jean-Marc Deltorn, researcher at the Centre d’études internationales de la propriété intellectuelle in Strasbourg, argues that we must remain a responsive and responsible force in this process of automation — not inert dominators. As he demonstrates in a recent Frontiers in Digital Humanities paper, the dream of automation demands a careful study of the legal problems linked to copyright.

An April 26, 2017 Frontiers (publishing) news release on EurekAlert, which originated the news item, describes the research in more detail,

For more than half a century, artists have looked to computational processes as a way of expanding their vision. DNN’s are the culmination of this cross-pollination: by learning to identify a complex number of patterns, they can generate new creations.

These systems are made up of complex algorithms modeled on the transmission of signals between neurons in the brain.

DNN creations rely in equal measure on human inputs and the non-human algorithmic networks that process them.

Inputs are fed into the system, which is layered. Each layer provides an opportunity for a more refined knowledge of the inputs (shape, color, lines). Neural networks compare actual outputs to expected ones, and correct the predictive error through repetition and optimization. They train their own pattern recognition, thereby optimizing their learning curve and producing increasingly accurate outputs.

The deeper the layers are, the higher the level of abstraction. The highest layers are able to identify the contents of a given input with reasonable accuracy, after extended periods of training.

Creation thus becomes increasingly automated through what Deltorn calls “the arcane traceries of deep architecture”. The results are sufficiently abstracted from their sources to produce original creations that have been exhibited in galleries, sold at auction and performed at concerts.

The originality of DNN’s is a combined product of technological automation on one hand, human inputs and decisions on the other.

DNN’s are gaining popularity. Various platforms (such as DeepDream) now allow internet users to generate their very own new creations . This popularization of the automation process calls for a comprehensive legal framework that ensures a creator’s economic and moral rights with regards to his work – copyright protection.

Form, originality and attribution are the three requirements for copyright. And while DNN creations satisfy the first of these three, the claim to originality and attribution will depend largely on a given country legislation and on the traceability of the human creator.

Legislation usually sets a low threshold to originality. As DNN creations could in theory be able to create an endless number of riffs on source materials, the uncurbed creation of original works could inflate the existing number of copyright protections.

Additionally, a small number of national copyright laws confers attribution to what UK legislation defines loosely as “the person by whom the arrangements necessary for the creation of the work are undertaken.” In the case of DNN’s, this could mean anybody from the programmer to the user of a DNN interface.

Combined with an overly supple take on originality, this view on attribution would further increase the number of copyrightable works.

The risk, in both cases, is that artists will be less willing to publish their own works, for fear of infringement of DNN copyright protections.

In order to promote creativity – one seminal aim of copyright protection – the issue must be limited to creations that manifest a personal voice “and not just the electric glint of a computational engine,” to quote Deltorn. A delicate act of discernment.

DNN’s promise new avenues of creative expression for artists – with potential caveats. Copyright protection – a “catalyst to creativity” – must be contained. Many of us gently bask in the glow of an increasingly automated form of technology. But if we want to safeguard the ineffable quality that defines much art, it might be a good idea to hone in more closely on the differences between the electric and the creative spark.

This research is and be will part of a broader Frontiers Research Topic collection of articles on Deep Learning and Digital Humanities.

Here’s a link to and a citation for the paper,

Deep Creations: Intellectual Property and the Automata by Jean-Marc Deltorn. Front. Digit. Humanit., 01 February 2017 | https://doi.org/10.3389/fdigh.2017.00003

This paper is open access.

Conference on governance of emerging technologies

I received an April 17, 2017 notice via email about this upcoming conference. Here’s more from the Fifth Annual Conference on Governance of Emerging Technologies: Law, Policy and Ethics webpage,

The Fifth Annual Conference on Governance of Emerging Technologies:

Law, Policy and Ethics held at the new

Beus Center for Law & Society in Phoenix, AZ

May 17-19, 2017!

Call for Abstracts – Now Closed

The conference will consist of plenary and session presentations and discussions on regulatory, governance, legal, policy, social and ethical aspects of emerging technologies, including (but not limited to) nanotechnology, synthetic biology, gene editing, biotechnology, genomics, personalized medicine, human enhancement technologies, telecommunications, information technologies, surveillance technologies, geoengineering, neuroscience, artificial intelligence, and robotics. The conference is premised on the belief that there is much to be learned and shared from and across the governance experience and proposals for these various emerging technologies.

Keynote Speakers:

Gillian HadfieldRichard L. and Antoinette Schamoi Kirtland Professor of Law and Professor of Economics USC [University of Southern California] Gould School of Law

Shobita Parthasarathy, Associate Professor of Public Policy and Women’s Studies, Director, Science, Technology, and Public Policy Program University of Michigan

Stuart Russell, Professor at [University of California] Berkeley, is a computer scientist known for his contributions to artificial intelligence

Craig Shank, Vice President for Corporate Standards Group in Microsoft’s Corporate, External and Legal Affairs (CELA)

Plenary Panels:

Innovation – Responsible and/or Permissionless

Ellen-Marie Forsberg, Senior Researcher/Research Manager at Oslo and Akershus University College of Applied Sciences

Adam Thierer, Senior Research Fellow with the Technology Policy Program at the Mercatus Center at George Mason University

Wendell Wallach, Consultant, ethicist, and scholar at Yale University’s Interdisciplinary Center for Bioethics

 Gene Drives, Trade and International Regulations

Greg Kaebnick, Director, Editorial Department; Editor, Hastings Center Report; Research Scholar, Hastings Center

Jennifer Kuzma, Goodnight-North Carolina GlaxoSmithKline Foundation Distinguished Professor in Social Sciences in the School of Public and International Affairs (SPIA) and co-director of the Genetic Engineering and Society (GES) Center at North Carolina State University

Andrew Maynard, Senior Sustainability Scholar, Julie Ann Wrigley Global Institute of Sustainability Director, Risk Innovation Lab, School for the Future of Innovation in Society Professor, School for the Future of Innovation in Society, Arizona State University

Gary Marchant, Regents’ Professor of Law, Professor of Law Faculty Director and Faculty Fellow, Center for Law, Science & Innovation, Arizona State University

Marc Saner, Inaugural Director of the Institute for Science, Society and Policy, and Associate Professor, University of Ottawa Department of Geography

Big Data

Anupam Chander, Martin Luther King, Jr. Professor of Law and Director, California International Law Center, UC Davis School of Law

Pilar Ossorio, Professor of Law and Bioethics, University of Wisconsin, School of Law and School of Medicine and Public Health; Morgridge Institute for Research, Ethics Scholar-in-Residence

George Poste, Chief Scientist, Complex Adaptive Systems Initiative (CASI) (http://www.casi.asu.edu/), Regents’ Professor and Del E. Webb Chair in Health Innovation, Arizona State University

Emily Shuckburgh, climate scientist and deputy head of the Polar Oceans Team at the British Antarctic Survey, University of Cambridge

 Responsible Development of AI

Spring Berman, Ira A. Fulton Schools of Engineering, Arizona State University

John Havens, The IEEE [Institute of Electrical and Electronics Engineers] Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems

Subbarao Kambhampati, Senior Sustainability Scientist, Julie Ann Wrigley Global Institute of Sustainability, Professor, School of Computing, Informatics and Decision Systems Engineering, Ira A. Fulton Schools of Engineering, Arizona State University

Wendell Wallach, Consultant, Ethicist, and Scholar at Yale University’s Interdisciplinary Center for Bioethics

Existential and Catastrophic Ricks [sic]

Tony Barrett, Co-Founder and Director of Research of the Global Catastrophic Risk Institute

Haydn Belfield,  Academic Project Administrator, Centre for the Study of Existential Risk at the University of Cambridge

Margaret E. Kosal Associate Director, Sam Nunn School of International Affairs, Georgia Institute of Technology

Catherine Rhodes,  Academic Project Manager, Centre for the Study of Existential Risk at CSER, University of Cambridge

These were the panels that are of interest to me; there are others on the homepage.

Here’s some information from the Conference registration webpage,

Early Bird Registration – $50 off until May 1! Enter discount code: earlybirdGETs50

New: Group Discount – Register 2+ attendees together and receive an additional 20% off for all group members!

Click Here to Register!

Conference registration fees are as follows:

  • General (non-CLE) Registration: $150.00
  • CLE Registration: $350.00
  • *Current Student / ASU Law Alumni Registration: $50.00
  • ^Cybsersecurity sessions only (May 19): $100 CLE / $50 General / Free for students (registration info coming soon)

There you have it.

Neuro-techno future laws

I’m pretty sure this isn’t the first exploration of potential legal issues arising from research into neuroscience although it’s the first one I’ve stumbled across. From an April 25, 2017 news item on phys.org,

New human rights laws to prepare for advances in neurotechnology that put the ‘freedom of the mind’ at risk have been proposed today in the open access journal Life Sciences, Society and Policy.

The authors of the study suggest four new human rights laws could emerge in the near future to protect against exploitation and loss of privacy. The four laws are: the right to cognitive liberty, the right to mental privacy, the right to mental integrity and the right to psychological continuity.

An April 25, 2017 Biomed Central news release on EurekAlert, which originated the news item, describes the work in more detail,

Marcello Ienca, lead author and PhD student at the Institute for Biomedical Ethics at the University of Basel, said: “The mind is considered to be the last refuge of personal freedom and self-determination, but advances in neural engineering, brain imaging and neurotechnology put the freedom of the mind at risk. Our proposed laws would give people the right to refuse coercive and invasive neurotechnology, protect the privacy of data collected by neurotechnology, and protect the physical and psychological aspects of the mind from damage by the misuse of neurotechnology.”

Advances in neurotechnology, such as sophisticated brain imaging and the development of brain-computer interfaces, have led to these technologies moving away from a clinical setting and into the consumer domain. While these advances may be beneficial for individuals and society, there is a risk that the technology could be misused and create unprecedented threats to personal freedom.

Professor Roberto Andorno, co-author of the research, explained: “Brain imaging technology has already reached a point where there is discussion over its legitimacy in criminal court, for example as a tool for assessing criminal responsibility or even the risk of reoffending. Consumer companies are using brain imaging for ‘neuromarketing’, to understand consumer behaviour and elicit desired responses from customers. There are also tools such as ‘brain decoders’ which can turn brain imaging data into images, text or sound. All of these could pose a threat to personal freedom which we sought to address with the development of four new human rights laws.”

The authors explain that as neurotechnology improves and becomes commonplace, there is a risk that the technology could be hacked, allowing a third-party to ‘eavesdrop’ on someone’s mind. In the future, a brain-computer interface used to control consumer technology could put the user at risk of physical and psychological damage caused by a third-party attack on the technology. There are also ethical and legal concerns over the protection of data generated by these devices that need to be considered.

International human rights laws make no specific mention to neuroscience, although advances in biomedicine have become intertwined with laws, such as those concerning human genetic data. Similar to the historical trajectory of the genetic revolution, the authors state that the on-going neurorevolution will force a reconceptualization of human rights laws and even the creation of new ones.

Marcello Ienca added: “Science-fiction can teach us a lot about the potential threat of technology. Neurotechnology featured in famous stories has in some cases already become a reality, while others are inching ever closer, or exist as military and commercial prototypes. We need to be prepared to deal with the impact these technologies will have on our personal freedom.”

Here’s a link to and a citation for the paper,

Towards new human rights in the age of neuroscience and neurotechnology by Marcello Ienca and Roberto Andorno. Life Sciences, Society and Policy201713:5 DOI: 10.1186/s40504-017-0050-1 Published: 26 April 2017

©  The Author(s). 2017

This paper is open access.

New principles for AI (artificial intelligence) research along with some history and a plea for a democratic discussion

For almost a month I’ve been meaning to get to this Feb. 1, 2017 essay by Andrew Maynard (director of Risk Innovation Lab at Arizona State University) and Jack Stilgoe (science policy lecturer at University College London [UCL]) on the topic of artificial intelligence and principles (Note: Links have been removed). First, a walk down memory lane,

Today [Feb. 1, 2017] in Washington DC, leading US and UK scientists are meeting to share dispatches from the frontiers of machine learning – an area of research that is creating new breakthroughs in artificial intelligence (AI). Their meeting follows the publication of a set of principles for beneficial AI that emerged from a conference earlier this year at a place with an important history.

In February 1975, 140 people – mostly scientists, with a few assorted lawyers, journalists and others – gathered at a conference centre on the California coast. A magazine article from the time by Michael Rogers, one of the few journalists allowed in, reported that most of the four days’ discussion was about the scientific possibilities of genetic modification. Two years earlier, scientists had begun using recombinant DNA to genetically modify viruses. The Promethean nature of this new tool prompted scientists to impose a moratorium on such experiments until they had worked out the risks. By the time of the Asilomar conference, the pent-up excitement was ready to burst. It was only towards the end of the conference when a lawyer stood up to raise the possibility of a multimillion-dollar lawsuit that the scientists focussed on the task at hand – creating a set of principles to govern their experiments.

The 1975 Asilomar meeting is still held up as a beacon of scientific responsibility. However, the story told by Rogers, and subsequently by historians, is of scientists motivated by a desire to head-off top down regulation with a promise of self-governance. Geneticist Stanley Cohen said at the time, ‘If the collected wisdom of this group doesn’t result in recommendations, the recommendations may come from other groups less well qualified’. The mayor of Cambridge, Massachusetts was a prominent critic of the biotechnology experiments then taking place in his city. He said, ‘I don’t think these scientists are thinking about mankind at all. I think that they’re getting the thrills and the excitement and the passion to dig in and keep digging to see what the hell they can do’.

The concern in 1975 was with safety and containment in research, not with the futures that biotechnology might bring about. A year after Asilomar, Cohen’s colleague Herbert Boyer founded Genentech, one of the first biotechnology companies. Corporate interests barely figured in the conversations of the mainly university scientists.

Fast-forward 42 years and it is clear that machine learning, natural language processing and other technologies that come under the AI umbrella are becoming big business. The cast list of the 2017 Asilomar meeting included corporate wunderkinds from Google, Facebook and Tesla as well as researchers, philosophers, and other academics. The group was more intellectually diverse than their 1975 equivalents, but there were some notable absences – no public and their concerns, no journalists, and few experts in the responsible development of new technologies.

Maynard and Stilgoe offer a critique of the latest principles,

The principles that came out of the meeting are, at least at first glance, a comforting affirmation that AI should be ‘for the people’, and not to be developed in ways that could cause harm. They promote the idea of beneficial and secure AI, development for the common good, and the importance of upholding human values and shared prosperity.

This is good stuff. But it’s all rather Motherhood and Apple Pie: comforting and hard to argue against, but lacking substance. The principles are short on accountability, and there are notable absences, including the need to engage with a broader set of stakeholders and the public. At the early stages of developing new technologies, public concerns are often seen as an inconvenience. In a world in which populism appears to be trampling expertise into the dirt, it is easy to understand why scientists may be defensive.

I encourage you to read this thoughtful essay in its entirety although I do have one nit to pick:  Why only US and UK scientists? I imagine the answer may lie in funding and logistics issues but I find it surprising that the critique makes no mention of the international community as a nod to inclusion.

For anyone interested in the Asolimar AI principles (2017), you can find them here. You can also find videos of the two-day workshop (Jan. 31 – Feb. 1, 2017 workshop titled The Frontiers of Machine Learning (a Raymond and Beverly Sackler USA-UK Scientific Forum [US National Academy of Sciences]) here (videos for each session are available on Youtube).