Tag Archives: open science

Not a pretty picture: Canada and a patent rights waiver for COVID-19 vaccines

At about 7:15 am PT this morning , May 13, 2021, I saw Dr. Mona Nemer’s (Canada’s Chief Science Advisor) tweet (Note: I’m sorry the formatting isn’t better,

Maryse de la Giroday@frogheart Does this mean Canada will support a waiver on patent rights for COVID-19 vaccines?

7:18 AM · May 13, 2021

Dr. Mona Nemer@ChiefSciCanThe global health crisis of the past year has underscored the critical importance of openly sharing scientific information. We are one step closer to making #openscience a reality around the world. So pleased that my office was part of these discussions. http://webcast.unesco.org/events/2021-05-OS-IGM/ Quote Tweet

Canada at UNESCO@Canada2UNESCO · May 6@Canada2UNESCO is partaking in negotiations today on the draft recommendation on #OpenScience The benefits of #science and #technology to health, the #economy and #development should be available to all.6:40 AM · May 13, 2021·Twitter Web App

No reply. No surprise

Brief summary of Canada’s COVID-19 patent rights nonwaiver

You’ll find more about the UNESCO meeting on open science in last week’s May 7, 2021 posting (Listen in on a UNESCO (United Nations Educational, Scientific and Cultural Organization) meeting [about Open Science]).

At the time, I noted a disparity in Canada’s policies centering on open science and patents; scroll down to the “Comments on open science and intellectual property in Canada” subsection for a more nuanced analysis. For those who don’t have the patience and/or the time, it boils down to this:

  1. Canada is happily participating in a UNESCO meeting on open science,
  2. the 2021 Canadian federal budget just dedicated a big chunk of money to augmenting Canada’s national patent strategy, and
  3. Canada is “willing to discuss” a waiver at the World Trade Organization (WTO) meetings.

I predicted UNESCO would see our representative’s enthusiastic participation while our representative at the WTO meeting would dance around the topic without committing. to anything. Sadly, it’s starting to look like I was right.

Leigh Beadon in a May 12, 2021 posting on Techdirt reveals the situation is worse than I thought (Note: Links have been removed),

Few things illustrate the broken state of our global intellectual property system better than the fact that, well over a year into this devastating pandemic and in the face of a strong IP waiver push by some of the hardest hit countries, patents are still holding back the production of life-saving vaccines. And of all the countries opposing a waiver at the WTO (or withholding support for it, which is functionally the same thing), Canada might be the most frustrating [emphasis mine].

Canada is the biggest hoarder [emphasis mine] of vaccine pre-orders, having secured enough to vaccinate the population five times over. Despite this, it has constantly run into supply problems and lagged behind comparable countries when it comes to administering the vaccines on a per capita basis. In response to criticism of its hoarding, the government continues to focus on its plans to donate all surplus doses to the COVAX vaccine sharing program — but these promises were somewhat more convincing before Canada became the only G7 country to withdraw doses from COVAX. Despite all this, and despite pressure from experts who explain how vaccine hoarding will prolong the pandemic for everyone, the country has continually refused to voice its support for a TRIPS patent waiver at the WTO.

Momentum for changing Canada’s position on a COVID-19 vaccine patent right waivers?

Maclean’s magazine has a May 10, 2021 open letter to Prime Minister Justin Trudeau,

Dear Prime Minister Trudeau,

The only way to combat this pandemic successfully is through a massive global vaccination campaign on a scale and timeline never before undertaken. This requires the production of effective tools and technologies to fight COVID-19 at scale and coordinated global distribution efforts.

The Trade-Related Aspect of Intellectual Property Rights (TRIPS) agreement at the World Trade Organization (WTO) is leading to the opposite outcome. Vaccine production is hindered by granting pharmaceutical companies monopoly power through protection of intellectual property rights, industrial designs and trade secrets. Pharmaceutical companies’ refusal to engage in health technology knowledge transfer makes large-scale, global vaccine production in (and for) low- and middle-income countries all but impossible. The current distribution of vaccines globally speaks to these obstacles.

Hundreds of civil society groups, the World Health Organization (WHO), and the elected governments of over 100 countries, including India, Afghanistan, Bangladesh, Nepal, Pakistan and Sri Lanka have come together and stated that current intellectual property protections reduce the availability of vaccines for protecting their people. On May 5, 2021 the United States also announced its intention to support a temporary waiver for vaccines at the WTO.

We are writing to ask our Canadian government to demonstrate its commitment to an equitable global pandemic response by supporting a temporary waiver of the TRIPS agreement. But clearly that is a necessary but not a sufficient first step. We recognize that scaling up vaccine production requires more than just a waiver of intellectual property rights, so we further request that our government support the WHO’s COVID-19 Technology Access Pool (C-TAP) to facilitate knowledge sharing and work with the WTO to address the supply chain and export constraints currently impeding vaccine production. Finally, because vaccines must be rolled out as part of an integrated strategy to end the acute phase of the epidemic, we request that Canada support the full scope of the TRIPS waiver, which extends to all essential COVID-19 products and technologies, including vaccines, diagnostics and therapeutics.

The status quo is clearly not working fast enough to end the acute phase of the pandemic globally. This waiver respects global intellectual property frameworks and takes advantage of existing provisions for exceptions during emergencies, as enshrined in the TRIPS agreement. Empowering countries to take measures to protect their own people is fundamental to bringing this pandemic to an end.

Anand Giridharadas (author of the 2018 book, Winners Take All: The Elite Charade of Changing the World) also makes the case for a patent rights waiver in his May 11, 2021 posting on The Ink, Note: A link has been removed,

Patents are temporary monopolies granted to inventors, to reward invention and thus encourage more of it. But what happens when you invent a drug that people around the world require to stay alive? What happens when, furthermore, that drug was built in part on technology the public paid for? Are there limits to intellectual property?

For years, activists have pressured the United States government to break or suspend patents in particular cases, as with HIV/Aids. They have had little luck. Indeed, the United States has often fought developing countries when they try to break patents to do right by their citizens, choosing American drug companies over dying people.

So it was a dramatic swerve when, last week, the Biden administration announced that it supported a waiver of the patents for Covid vaccines.

Not long afterward, I reached out to several leading activists for vaccine access to understand the significance of the announcement and where we go from here.

in all this talk about patents and social justice and, whether it’s directly referenced or not, money, the only numbers of I’ve seen,until recently, have been numbers of doses and aggregate costs.

How much does a single vaccine dose cost?

A Sunday, April 11, 2021 article by Krassen Nikolov for EURACTIV provides an answer about the cost in one region, the European Union,

“Pfizer cost €12, then €15.50. The Commission now signs contracts for €19,50”, Bulgarian Prime Minister Boyko Borissov revealed on Sunday [April 11, 2021].

The European Commission is in talks with Pfizer for the supply of COVID-19 vaccines in 2022 and 2023. Borissov said the contracts provide for €19.50 per dose.

Under an agreement with the vaccine producing companies, the European Commission has so far refused to reveal the price of vaccines. However, last December Belgian Secretary of State Eva De Bleeker shared on Twitter the vaccine prices negotiated by the Commission, as well as the number of doses purchased by her government. Then, it became known that the AstraZeneca jab costs €1.78 compared to €12 for Pfizer-BioNTech.

€12 to €19,50, that’s an increase of over 50%. I wonder how Pfizer is justifying such a hefty increase?

According to a March 16, 2021 article by Swikar Oli for the National Post (a Canadian newspaper), these prices are a cheap pandemic special prices,

A top Pfizer executive told shareholders the company is looking at a “significant opportunity” to raise the price of its Pfizer-BioNTech COVID-19 vaccine.

While addressing investors at the virtual Barclays Global Healthcare Conference last week, Pfizer CFO Frank D’Amelio noted they could raise prices when the virus becomes endemic, meaning it’s regularly found in clusters around the globe, according to a transcript of the conference posted on Pfizer’s website.

Current vaccine pricing models are pandemic-related, D’Amelio explained. After the pandemic is defeated and “normal market conditions” arrive, he noted the window would open for a “significant opportunity…from a pricing perspective.”

“So the one price that we published is the price with the U.S. of $19.50 per dose. Obviously, that’s not a normal price like we typically get for a vaccine, $150, $175 [emphasis mine] per dose,” he said, “So pandemic pricing.”

If I remember it rightly, as you increase production, you lower costs per unit. In other words, it’s cheaper to produce one dozen than one, which is why your bakery charges you less money per bun or cake if you purchase by the dozen.

During this pandemic, Pfizer has been producing huge amounts of vaccine, which they would not expect to do should the disease become endemic. As Pfizer has increased production, I would think the price should be dropping but according to the Bulgarian prime minister, it’s not.

They don’t seem to be changing the vaccine as new variants arrive. So, raising the prices doesn’t seem to be linked to research issues and as for the new production facilities, surely those didn’t cost billions.

Canada and COVID-19 money

Talking about money, Canada has a COVDI-19 billionaire according to a December 23, 2020 article (Meet The 50 Doctors, Scientists And Healthcare Entrepreneurs Who Became Pandemic Billionaires In 2020) by Giacomo Tognini for Forbes.

I have a bit more about Carl Hansen (COVID-19 billionaire) and his company, AbCellera, in my December 30, 2020 posting.

I wonder how much the Canadian life sciences community has to do with Canada’s hesitancy over a COVID-19 vaccine patent rights waiver.

Listen in on a UNESCO (United Nations Educational, Scientific and Cultural Organization) meeting (about Open Science)

If you are intrigued* by the idea of sitting in on a UNESCO meeting, in this case, the Intergovernmental special committee meeting (Category II) related to the draft UNESCO Recommendation on Open Science, there is an opportunity.

Before getting to the opportunity, I want to comment on how smart the UNESCO communications/press office has been. Interest in relaxing COVID-19 vaccine patent rules is gaining momentum (May 6, 2021 Associated Press news item on Canadian Broadcasting Corporation [CBC]) and a decision was made in the press office (?) to capitalize on this momentum as a series of UNESCO meetings about open science are taking place. Well done!

Later in this post, I have a few comments about the intellectual property scene and open science in Canada.

UNESCO’s open meeting

According to the May 7, 2021 UNESCO press release no. 42 (received via email),

UNESCO welcomes move to lift the patent on the vaccines and pushes for
Open Science

Paris, 7 May [2021] -“The decision of the United States and many other
countries to call for the lifting of patent protection for coronavirus
vaccines could save millions of lives and serve as a blueprint for the
future of scientific cooperation. COVID-19 does not respect borders. No
country will be safe until the people of every country have access to
the vaccine,” said UNESCO Director-General Audrey Azoulay.

This growing momentum comes in response to the joint appeal made by
UNESCO, the WHO [World Health Organization] and the UNHCR [United Nations Commission on Human Rights] to open up science and boost scientific
cooperation in October 2020. Early in the pandemic last spring, UNESCO
mobilized over 122 countries to promote Open Science and reinforced
international cooperation.

The pandemic triggered strong support for Open Science among Member
States for this agenda. Chinese scientists sequenced the genome of the
new coronavirus on 11 January 2020 and posted it online, enabling German
scientists to develop a screening test, which was then shared by the
World Health Organization with governments everywhere. 

Since the outbreak of COVID-19, the world has embarked on a new era of
scientific research, forcing all countries to construct the shared rules
and common norms we need to work more effectively in these changing
times.

The recent announcements of countries in favor of lifting patents show
the growing support for open scientific cooperation. They also coincide
with the five-day meeting of UNESCO Member States to define a global
standard-setting framework on Open Science, which aims to develop new
models for the circulation of scientific knowledge and its benefits,
including global commons.

The outcomes of the meeting will lead to a Global Recommendation on Open
Science to be adopted by UNESCO’s 193 Member States at the
Organization’s General Conference in November 2021. This
Recommendation aims to be a driver for shared global access to data,
publications, patents, software, educational resources and technological
innovations and to reengage all of society in science.

More Information on UNESCO’s Open Science meeting:
https://events.unesco.org/event?id=1907937890&lang=1033 [1]

After clicking on UNESCO’s events link (in the above), you’ll be sent to a page where you’ll be invited to link to a live webcast (it’s live if there’s a session taking place and there will be on May 10, May 11, and May 12, 2021). If you’re on the West Coast of Canada or the US, add nine hours since the meeting is likely taking place on Paris (France) time (so at 2 pm PT, you’re not likely to hear anything), where UNESCO is headquartered. When you get to the page hosting the live webcast, click on the tab listing the current day’s date.

I managed to listen to some of the meeting this morning (May 7, 2021) at about 8 am my time; for the participants, it was a meeting that ran late. The thrill is being able to attend or listen in. From a content perspective, you probably need to be serious about open science and the language used to define it and make recommendations about it.

Comments on open science and intellectual property in Canada

Mentioned earlier was the rising momentum for relaxing COVID-19 vaccine patent rules, I looked carefully at the May 6, 2021 Associated Press news item on CBC] and couldn’t find any evidence that Canada is actively supporting the idea. However, the Canadian government has indicated a willingness to discuss relaxing the rules,

France joined the United States on Thursday [May 6, 2021] in supporting an easing of patent protections on COVID-19 vaccines that could help poorer countries get more doses and speed the end of the pandemic. While the backing from two countries with major drugmakers is important, many obstacles remain.

The United States’ support for waiving the protections marked a dramatic shift in its position. Still, even just one country voting against such a waiver would be enough to block efforts at the World Trade Organization [WTO].

With the Biden administration’s announcement on Wednesday [May 5, 2021], the U.S. became the first country in the developed world with big vaccine manufacturing to publicly support the waiver idea floated by India and South Africa last October at the WTO.

“I completely favour this opening up of the intellectual property,” French President Emmanuel Macron said Thursday [May 6, 2021] on a visit to a vaccine centre.

Many other leaders chimed in — though few expressed direct support. Italian Foreign Minister Luigi Di Maio wrote on Facebook that the U.S. announcement was “a very important signal” and that the world needs “free access” to patents for the vaccines.

Australian Prime Minister Scott Morrison called the U.S. position “great news” but did not directly respond to a question about whether his country would support a waiver.

Canada’s International Trade Minister Mary Ng told the House of Commons on Thursday that the federal government will “actively participate” in talks to waive the global rules that protect vaccine trade secrets. [emphases mine]

[Canada’s] International Development Minister Karina Gould said the U.S. support for waiving patents is “a really important step in this conversation.” [emphases mine]

Big difference between supporting something and talking about it, eh?

Open science in Canada

Back in 2016, the Montreal Neurological Institute (MNI or Montreal Neuro) in Québec, Canada was the first academic institution in the world to embrace an open science policy. Here’s the relevant excerpt from my January 22, 2016 posting (the posting describes the place that Montreal Neuro occupies historically in Canada and on the global stage),

.. David Bruggeman tells the story in a Jan. 21, 2016 posting on his Pasco Phronesis blog (Note: Links have been removed),

The Montreal Neurological Institute (MNI) at McGill University announced that it will be the first academic research institute to become what it calls ‘Open Science.’  As Science is reporting, the MNI will make available all research results and research data at the time of publication.  Additionally it will not seek patents on any of the discoveries made on research at the Institute. [emphasis mine]

Will this catch on?  I have no idea if this particular combination of open access research data and results with no patents will spread to other university research institutes.  But I do believe that those elements will continue to spread.  More universities and federal agencies are pursuing open access options for research they support.  Elon Musk has opted to not pursue patent litigation for any of Tesla Motors’ patents, and has not pursued patents for SpaceX technology (though it has pursued litigation over patents in rocket technology). …

What about intellectual property (IP) and the 2021 federal budget?

Interestingly, the 2021 Canadian federal budget, released April 19, 2021, (see my May 4, 2021 posting) has announced more investments in intellectual property initiatives,

“Promoting Canadian Intellectual Property

As the most highly educated country in the OECD [Organization for Economic Cooperation and Development], Canada is full of innovative and entrepreneurial people with great ideas. Those ideas are valuable intellectual property that are the seeds of huge growth opportunities. Building on the National Intellectual Property Strategy announced in Budget 2018, the government proposes to further support Canadian innovators, start-ups, and technology-intensive businesses. Budget 2021 proposes:

  • $90 million, over two years, starting in 2022-23, to create ElevateIP, a program to help accelerators and incubators provide start-ups with access to expert intellectual property services.
  • $75 million over three years, starting in 2021-22, for the National Research Council’s Industrial Research Assistance Program to provide high-growth client firms with access to expert intellectual property services.

These direct investments would be complemented by a Strategic Intellectual Property Program Review that will be launched. It is intended as a broad assessment of intellectual property provisions in Canada’s innovation and science programming, from basic research to near-commercial projects. This work will make sure Canada and Canadians fully benefit from innovations and intellectual property.”

Now, it’s back to me and the usual formatting for an upcoming excerpt. As for Canada’s National Intellectual Property Strategy, here’s more from the April 26, 2018 Innovation, Science and Economic Development Canada news release,

Canada’s IP Strategy will help Canadian entrepreneurs better understand and protect intellectual property and also get better access to shared intellectual property. Canada is a leader in research, science, creation and invention, but it can do more when it comes to commercializing innovations.

The IP Strategy will help give businesses the information and confidence they need to grow their business and take risks.

The IP Strategy will make changes in three key areas:

LEGISLATION

The IP Strategy will amend key IP laws to ensure that we remove barriers to innovation, particularly any loopholes that allow those seeking to use IP in bad faith to stall innovation for their own gain.

The IP Strategy will create an independent body to oversee patent and trademark agents, which will ensure that professional and ethical standards are maintained, and will support the provision of quality advice from IP professionals.

LITERACY AND ADVICE

As part of the IP Strategy, the Canadian Intellectual Property Office will launch a suite of programs to help improve IP literacy among Canadians.

The IP Strategy includes support for domestic and international engagement between Indigenous people and decision makers as well as for research activities and capacity building.

The IP Strategy will also support training for federal employees who deal with IP governance.

TOOLS

The IP Strategy will provide tools to support Canadian businesses as they learn about IP and pursue their own IP strategies.

The government is creating a patent collective to bring together businesses to facilitate better IP outcomes for members. The patent collective is the coming together of firms to share in IP expertise and strategy, including gaining access to a larger collection of patents and IP. 

I’m guessing what the government wants is more patents; at the same time, it does not want to get caught up in patent thickets and the patent troll wars often seen in the US. The desire for more patents isn’t simply ‘protection’ for Canadian businesses, it’s born also from a desire to brag (from “A few final comments subsection” in my May 4, 2021 posting on the Canadian federal budget),

The inclusion of a section on intellectual property in the budget could seem peculiar. I would have thought that years ago before I learned that governments measure and compare with other government the success of their science and technology efforts by the number of patents that have been filed. [new emphasis mine] There are other measures but intellectual property is very important, as far as governments are concerned. My “Billions lost to patent trolls; US White House asks for comments on intellectual property (IP) enforcement; and more on IP” June 28, 2012 posting points to some of the shortcomings, with which we still grapple.

Not just a Canadian conundrum

IP (patents, trademarks, and copyright) has a long history and my understanding of patents and copyright (not sure about trademarks) is that they were initially intended to guarantee inventors and creators a fixed period of time in which to make money from their inventions and/or creations. IP was intended to encourage competition not stifle it as happens so often these days. Here’s more about patents from the Origin of Patents: Everything You Need to Know webpage on the upcounsel.com website (Note: Links have been removed),

Origins of Patent Law and the Incentive Theory

It is possible to trace the idea of patent law as far back as the 9th century B.C. in ancient Greece.  However, one of the most vital pieces of legislation in the history of patents is the English Statute of Monopolies. The Parliament passed the Statute of Monopolies to end monopolies, which stifled competition. 

However, for about a decade, the Statute issued “letters patent” to allow for limited monopolies. This measure was seen as a way of balancing the importance of providing incentives for inventions with the distaste for monopolies. [emphasis mine] While monopolies usually don’t offer any innovative benefits, inventors need to have an incentive to create innovations that benefit society.

Changes?

As you can see in the ‘Origins of Patent Law’ excerpt , there’s a tension between ensuring profitability and spurring innovation. It certainly seems that our current approach to the problem is no longer successful.

There has been an appetite for change in how science is pursued, shared, and commercialized. Listening in on UNESCO’s Open Science meeting:
https://events.unesco.org/event?id=1907937890&lang=1033 [1] (May 10 -12, 2021) is an opportunity to see how this movement could develop. Sadly, I don’t think the World Trade Organization is going to afford anyone the opportunity to tune in to discussions about relaxing COVDI-19 vaccine patent rules. (sigh)

As for the Canadian government’s ‘willingness to talk’ I expect the Canadian representative at the UNESCO will be very happy to adopt open science while the Canadian representative at the WTO will dance around without committing.

If you are inclined, please do share your thoughts on either of the meetings or on the move towards open science.

*’intrigues’ changed to ‘intrigued’ on May 13, 2021.

Two cultures: the open science movement and the reproducibility movement

It’s C. P. Snow who comes to mind on seeing the words ‘science and two cultures’ (for anyone unfamiliar with the lecture and/or book see The Two Cultures Wikipedia entry).

This Sept. 14, 2020 news item on phys.org puts forward an entirely different concept concerning two cultures and science (Note: Links have been removed),

In the world of scientific research today, there’s a revolution going on—over the last decade or so, scientists across many disciplines have been seeking to improve the workings of science and its methods.

To do this, scientists are largely following one of two paths: the movement for reproducibility and the movement for open science. Both movements aim to create centralized archives for data, computer code and other resources, but from there, the paths diverge. The movement for reproducibility calls on scientists to reproduce the results of past experiments to verify earlier results, while open science calls on scientists to share resources so that future research can build on what has been done, ask new questions and advance science.

A Sept. 14, 2020 Indiana University (IU) news release (also on EurekAlert), which originated the news item, explains the research findings, which unexpectedly (for me) led to some conclusions about diversity with regard to gender in particular,

Now, an international research team led by IU’s Mary Murphy, Amanda Mejia, Jorge Mejia, Yan Xiaoran, Patty Mabry, Susanne Ressl, Amanda Diekman, and Franco Pestilli, finds the two movements do more than diverge. They have very distinct cultures, with two distinct literatures produced by two groups of researchers with little crossover. Their investigation also suggests that one of the movements — open science — promotes greater equity, diversity, and inclusivity. Their findings were recently reported in the Proceedings for the National Academy of Sciences [PNAS].

The team of researchers on the study, whose fields range widely – from social psychology, network science, neuroscience, structural biology, biochemistry, statistics, business, and education, among others – were taken by surprise by the results.

“The two movements have very few crossovers, shared authors or collaborations,” said Murphy. “They operate relatively independently. And this distinction between the two approaches is replicated across all scientific fields we examined.”

In other words, whether in biology, psychology or physics, scientists working in the open science participate in a different scientific culture than those working within the reproducibility culture, even if they work in the same disciplinary field. And which culture a scientist works in determines a lot about access and participation, particularly for women.

IU cognitive scientist Richard Shiffrin, who has previously been involved in efforts to improve science but did not participate in the current study, says the new study by Murphy and her colleagues provides a remarkable look into the way that current science operates. “There are two quite distinct cultures, one more inclusive, that promotes transparency of reporting and open science, and another, less inclusive, that promotes reproducibility as a remedy to the current practice of science,” he said.

A Tale of Two Sciences

To investigate the fault lines between the two movements, the team, led by network scientists Xiaoran Yan and Patricia Mabry, first conducted a network analysis of papers published from 2010-2017 identified with one of the two movements. The analysis showed that even though both movements span widely across STEM fields, the authors within them occupy two largely distinct networks. Authors who publish open science research, in other words, rarely produce research within reproducibility, and very few reproducibility researchers conduct open science research.

Next, information systems analyst Jorge Mejia and statistician Amanda Mejia applied a semantic text analysis to the abstracts of the papers to determine the values implicit in the language used to define the research. Specifically they looked at the degree to which the research was prosocial, that is, oriented toward helping others by seeking to solve large social problems.

“This is significant,” Murphy explained, “insofar as previous studies have shown that women often gravitate toward science that has more socially oriented goals and aims to improve the health and well-being of people and society. We found that open science has more prosocial language in its abstracts than reproducibility does.”

With respect to gender, the team found that “women publish more often in high-status authorship positions in open science, and that participation in high-status authorship positions has been increasing over time in open science, while in reproducibility women’s participation in high-status authorship positions is decreasing over time,” Murphy said.

The researchers are careful to point out that the link they found between women and open science is so far a correlation, not a causal connection.

“It could be that as more women join these movements, the science becomes more prosocial. But women could also be drawn to this prosocial model because that’s what they value in science, which in turn strengthens the prosocial quality of open science,” Murphy noted. “It’s likely to be an iterative cultural cycle, which starts one way, attracts people who are attracted to that culture, and consequently further builds and supports that culture.”

Diekman, a social psychologist and senior author on the paper, noted these patterns might help open more doors to science. “What we know from previous research is that when science conveys a more prosocial culture, it tends to attract not only more women, but also people of color and prosocially oriented men,” she said.

The distinctions traced in the study are also reflected in the scientific processes employed by the research team itself. As one of the most diverse teams to publish in the pages of PNAS, the research team used open science practices.

“The initial intuition, before the project started, was that investigators have come to this debate from very different perspectives and with different intellectual interests. These interests might attract different categories of researchers.” says Pestilli, an IU neuroscientist. “Some of us are working on improving science by providing new technology and opportunities to reduce human mistakes and promote teamwork. Yet we also like to focus on the greater good science does for society, every day. We are perhaps seeing more of this now in the time of the COVID-19 pandemic.”

With a core of eight lead scientists at IU, the team also included 20 more co-authors, mostly women and people of color who are experts on how to increase the participation of underrepresented groups in science; diversity and inclusion; and the movements to improve science.

Research team leader Mary Murphy noted that in this cultural moment of examining inequality throughout our institutions, looking at who gets to participate in science can yield great benefit.

“Trying to understand inequality in science has the potential to benefit society now more than ever. Understanding how the culture of science can compound problems of inequality or mitigate them could be a real advance in this moment when long-standing inequalities are being recognized–and when there is momentum to act and create a more equitable science.”

I think someone had a little fun writing the news release. First, there’s a possible reference to C. P. Snow’s The Two Cultures and, then, a reference to Charles Dickens’ A Tale of Two Cities (Wikipedia entry here) along with, possibly, an allusion to the French Revolution (liberté, égalité, et fraternité). Going even further afield, is there also an allusion to a science revolution? Certainly the values of liberty and equality would seem to fit in with the findings.

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

Open science, communal culture, and women’s participation in the movement to improve science by Mary C. Murphy, Amanda F. Mejia, Jorge Mejia, Xiaoran Yan, Sapna Cheryan, Nilanjana Dasgupta, Mesmin Destin, Stephanie A. Fryberg, Julie A. Garcia, Elizabeth L. Haines, Judith M. Harackiewicz, Alison Ledgerwood, Corinne A. Moss-Racusin, Lora E. Park, Sylvia P. Perry, Kate A. Ratliff, Aneeta Rattan, Diana T. Sanchez, Krishna Savani, Denise Sekaquaptewa, Jessi L. Smith, Valerie Jones Taylor, Dustin B. Thoman, Daryl A. Wout, Patricia L. Mabry, Susanne Ressl, Amanda B. Diekman, and Franco Pestilli PNAS DOI: https://doi.org/10.1073/pnas.1921320117 First published September 14, 2020

This paper appears to be open access.

Here’s an image representing the researchers’ findings,

Caption: Figure 1. From “I” science to team science. Moving from an ‘!’-focused, independent, lab-centric approach to science to a more collaborative team science that promotes communal values, sharing, education, and training. Teamwork is a strength for scientific work and discovery; the total is more than the sum of the individual part contributions. Credit: Indiana University

Democratizing science .. neuroscience that is

What is going on with the neuroscience folks? First it was Montreal Neuro opening up its science  as featured in my January 22, 2016 posting,

The Montreal Neurological Institute (MNI) in Québec, Canada, known informally and widely as Montreal Neuro, has ‘opened’ its science research to the world. David Bruggeman tells the story in a Jan. 21, 2016 posting on his Pasco Phronesis blog (Note: Links have been removed),

The Montreal Neurological Institute (MNI) at McGill University announced that it will be the first academic research institute to become what it calls ‘Open Science.’  As Science is reporting, the MNI will make available all research results and research data at the time of publication.  Additionally it will not seek patents on any of the discoveries made on research at the Institute.

Will this catch on?  I have no idea if this particular combination of open access research data and results with no patents will spread to other university research institutes.  But I do believe that those elements will continue to spread.  More universities and federal agencies are pursuing open access options for research they support.  Elon Musk has opted to not pursue patent litigation for any of Tesla Motors’ patents, and has not pursued patents for SpaceX technology (though it has pursued litigation over patents in rocket technology). …

Whether or not they were inspired by the MNI, the scientists at the University of Washington (UW [state]) have found their own unique way of opening up science. From a March 15, 2018 UW news blog posting (also on EurekAlert) by James Urton, Note: Links have been removed,

Over the past few years, scientists have faced a problem: They often cannot reproduce the results of experiments done by themselves or their peers.

This “replication crisis” plagues fields from medicine to physics, and likely has many causes. But one is undoubtedly the difficulty of sharing the vast amounts of data collected and analyses performed in so-called “big data” studies. The volume and complexity of the information also can make these scientific endeavors unwieldy when it comes time for researchers to share their data and findings with peers and the public.

Researchers at the University of Washington have developed a set of tools to make one critical area of big data research — that of our central nervous system — easier to share. In a paper published online March 5 [2018] in Nature Communications, the UW team describes an open-access browser they developed to display, analyze and share neurological data collected through a type of magnetic resonance imaging study known as diffusion-weighted MRI.

“There has been a lot of talk among researchers about the replication crisis,” said lead author Jason Yeatman. “But we wanted a tool — ready, widely available and easy to use — that would actually help fight the replication crisis.”

Yeatman — who is an assistant professor in the UW Department of Speech & Hearing Sciences and the Institute for Learning & Brain Sciences (I-LABS) — is describing AFQ-Browser. This web browser-based tool, freely available online, is a platform for uploading, visualizing, analyzing and sharing diffusion MRI data in a format that is publicly accessible, improving transparency and data-sharing methods for neurological studies. In addition, since it runs in the web browser, AFQ-Browser is portable — requiring no additional software package or equipment beyond a computer and an internet connection.

“One major barrier to data transparency in neuroscience is that so much data collection, storage and analysis occurs on local computers with special software packages,” said senior author Ariel Rokem, a senior data scientist in the UW eScience Institute. “But using AFQ-Browser, we eliminate those requirements and make uploading, sharing and analyzing diffusion-weighted MRI data a simple, straightforward process.”

Diffusion-weighted MRI measures the movement of fluid in the brain and spinal cord, revealing the structure and function of white-matter tracts. These are the connections of the central nervous system, tissue that are made up primarily of axons that transmit long-range signals between neural circuits. Diffusion MRI research on brain connectivity has fundamentally changed the way neuroscientists understand human brain function: The state, organization and layout of white matter tracts are at the core of cognitive functions such as memory, learning and other capabilities. Data collected using diffusion-weighted MRI can be used to diagnose complex neurological conditions such as multiple sclerosis (MS) and amyotrophic lateral sclerosis (ALS). Researchers also use diffusion-weighted MRI data to study the neurological underpinnings of conditions such as dyslexia and learning disabilities.

“This is a widely-used technique in neuroscience research, and it is particularly amenable to the benefits that can be gleaned from big data, so it became a logical starting point for developing browser-based, open-access tools for the field,” said Yeatman.

The AFQ-Browser — the AFQ stands for Automated Fiber-tract Quantification — can receive diffusion-weighted MRI data and perform tract analysis for each individual subject. The analyses occur via a remote server, again eliminating technical and financial barriers for researchers. The AFQ-Browser also contains interactive tools to display data for multiple subjects — allowing a researcher to easily visualize how white matter tracts might be similar or different among subjects, identify trends in the data and generate hypotheses for future experiments. Researchers also can insert additional code to analyze the data, as well as save, upload and share data instantly with fellow researchers.

“We wanted this tool to be as generalizable as possible, regardless of research goals,” said Rokem. “In addition, the format is easy for scientists from a variety of backgrounds to use and understand — so that neuroscientists, statisticians and other researchers can collaborate, view data and share methods toward greater reproducibility.”

The idea for the AFQ-Browser came out of a UW course on data visualization, and the researchers worked with several graduate students to develop and perfect the browser. They tested it on existing diffusion-weighted MRI datasets, including research subjects with ALS and MS. In the future, they hope that the AFQ-Browser can be improved to do automated analyses — and possibly even diagnoses — based on diffusion-weighted MRI data.

“AFQ-Browser is really just the start of what could be a number of tools for sharing neuroscience data and experiments,” said Yeatman. “Our goal here is greater reproducibility and transparency, and a more robust scientific process.”

Here are a couple of images the researchers have used to illustrate their work,

AFQ-Browser.Jason Yeatman/Ariel Rokem Courtesy: University of Washington

Depiction of the left hemisphere of the human brain. Colored regions are selected white matter regions that could be measured using diffusion-weighted MRI: Corticospinal tract (orange), arcuate fasciculus (blue) and cingulum (green).Jason Yeatman/Ariel Rokem

You can find an embedded version of the AFQ-Browser here: http://www.washington.edu/news/2018/03/15/democratizing-science-researchers-make-neuroscience-experiments-easier-to-share-reproduce/ (scroll down about 50 – 55% of the way).

As for the paper, here’s a link and a citation,

A browser-based tool for visualization and analysis of diffusion MRI data by Jason D. Yeatman, Adam Richie-Halford, Josh K. Smith, Anisha Keshavan, & Ariel Rokem. Nature Communicationsvolume 9, Article number: 940 (2018) doi:10.1038/s41467-018-03297-7 Published online: 05 March 2018

Fittingly, this paper is open access.

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

Montreal Neuro creates a new paradigm for technology transfer?

It’s one heck of a Christmas present. Canadian businessmen Larry Tannenbaum and his wife Judy have given the Montreal Neurological Institute (Montreal Neuro), which is affiliated with McGill University, a $20M donation. From a Dec. 16, 2016 McGill University news release,

The Prime Minister of Canada, Justin Trudeau, was present today at the Montreal Neurological Institute and Hospital (MNI) for the announcement of an important donation of $20 million by the Larry and Judy Tanenbaum family. This transformative gift will help to establish the Tanenbaum Open Science Institute, a bold initiative that will facilitate the sharing of neuroscience findings worldwide to accelerate the discovery of leading edge therapeutics to treat patients suffering from neurological diseases.

‟Today, we take an important step forward in opening up new horizons in neuroscience research and discovery,” said Mr. Larry Tanenbaum. ‟Our digital world provides for unprecedented opportunities to leverage advances in technology to the benefit of science.  That is what we are celebrating here today: the transformation of research, the removal of barriers, the breaking of silos and, most of all, the courage of researchers to put patients and progress ahead of all other considerations.”

Neuroscience has reached a new frontier, and advances in technology now allow scientists to better understand the brain and all its complexities in ways that were previously deemed impossible. The sharing of research findings amongst scientists is critical, not only due to the sheer scale of data involved, but also because diseases of the brain and the nervous system are amongst the most compelling unmet medical needs of our time.

Neurological diseases, mental illnesses, addictions, and brain and spinal cord injuries directly impact 1 in 3 Canadians, representing approximately 11 million people across the country.

“As internationally-recognized leaders in the field of brain research, we are uniquely placed to deliver on this ambitious initiative and reinforce our reputation as an institution that drives innovation, discovery and advanced patient care,” said Dr. Guy Rouleau, Director of the Montreal Neurological Institute and Hospital and Chair of McGill University’s Department of Neurology and Neurosurgery. “Part of the Tanenbaum family’s donation will be used to incentivize other Canadian researchers and institutions to adopt an Open Science model, thus strengthening the network of like-minded institutes working in this field.”

What they don’t mention in the news release is that they will not be pursuing any patents (for five years according to one of the people in the video but I can’t find text to substantiate that time limit*; there are no time limits noted elsewhere) on their work. For this detail and others, you have to listen to the video they’ve created,

The CBC (Canadian Broadcasting Corporation) news online Dec. 16, 2016 posting (with files from Sarah Leavitt and Justin Hayward) adds a few personal details about Tannenbaum,

“Our goal is simple: to accelerate brain research and discovery to relieve suffering,” said Tanenbaum.

Tanenbaum, a Canadian businessman and chairman of Maple Leaf Sports and Entertainment, said many of his loved ones suffered from neurological disorders.

“I lost my mother to Alzheimer’s, my father to a stroke, three dear friends to brain cancer, and a brilliant friend and scientist to clinical depression,” said Tanenbaum.

He hopes the institute will serve as the template for science research across the world, a thought that Trudeau echoed.

“This vision around open science, recognizing the role that Canada can and should play, the leadership that Canadians can have in this initiative is truly, truly exciting,” said Trudeau.

The Neurological Institute says the pharmaceutical industry is supportive of the open science concept because it will provide crucial base research that can later be used to develop drugs to fight an array of neurological conditions.

Jack Stilgoe in a Dec. 16, 2016 posting on the Guardian blogs explains what this donation could mean (Note: Links have been removed),

With the help of Tanenbaum’s gift of 20 million Canadian dollars (£12million) the ‘Neuro’, the Montreal Neurological Institute and Hospital, is setting up an experiment in experimentation, an Open Science Initiative with the express purpose of finding out the best way to realise the potential of scientific research.

Governments in science-rich countries are increasingly concerned that they do not appear to reaping the economic returns they feel they deserve from investments in scientific research. Their favoured response has been to try to bridge what they see as a ‘valley of death’ between basic scientific research and industrial applications. This has meant more funding for ‘translational research’ and the flowering of technology transfer offices within universities.

… There are some success stories, particularly in the life sciences. Patents from the work of Richard Axel at Columbia University at one point brought the university almost $100 million per year. The University of Florida received more than $150 million for inventing Gatorade in the 1960s. The stakes are high in the current battle between Berkely and MIT/Harvard over who owns the rights to the CRISPR/Cas9 system that has revolutionised genetic engineering and could be worth billions.

Policymakers imagine a world in which universities pay for themselves just as a pharmaceutical research lab does. However, for critics of technology transfer, such stories blind us to the reality of university’s entrepreneurial abilities.

For most universities, evidence of their money-making prowess is, to put it charitably, mixed. A recent Bloomberg report shows how quickly university patent incomes plunge once we look beyond the megastars. In 2014, just 15 US universities earned 70% of all patent royalties. British science policy researchers Paul Nightingale and Alex Coad conclude that ‘Roughly 9/10 US universities lose money on their technology transfer offices… MIT makes more money from selling T-shirts than it does from licensing’. A report from the Brookings institute concluded that the model of technology transfer ‘is unprofitable for most universities and sometimes even risks alienating the private sector’. In the UK, the situation is even worse. Businesses who have dealings with universities report that their technology transfer offices are often unrealistic in negotiations. In many cases, academics are, like a small child who refuses to let others play with a brand new football, unable to make the most of their gifts. And areas of science outside the life sciences are harder to patent than medicines, sports drinks and genetic engineering techniques. Trying too hard to force science towards the market may be, to use the phrase of science policy professor Keith Pavitt, like pushing a piece of string.

Science policy is slowly waking up to the realisation that the value of science may lie in people and places rather than papers and patents. It’s an idea that the Neuro, with the help of Tanenbaum’s gift, is going to test. By sharing data and giving away intellectual property, the initiative aims to attract new private partners to the institute and build Montreal as a hub for knowledge and innovation. The hypothesis is that this will be more lucrative than hoarding patents.

This experiment is not wishful thinking. It will be scientifically measured. It is the job of Richard Gold, a McGill University law professor, to see whether it works. He told me that his first task is ‘to figure out what to counts… There’s going to be a gap between what we would like to measure and what we can measure’. However, he sees an open-mindedness among his colleagues that is unusual. Some are evangelists for open science; some are sceptics. But they share a curiosity about new approaches and a recognition of a problem in neuroscience: ‘We haven’t come up with a new drug for Parkinson’s in 30 years. We don’t even understand the biological basis for many of these diseases. So whatever we’re doing at the moment doesn’t work’. …

Montreal Neuro made news on the ‘open science’ front in January 2016 when it formally announced its research would be freely available and that researchers would not be pursuing patents (see my January 22, 2016 posting).

I recommend reading Stilgoe’s posting in its entirety and for those who don’t know or have forgotten, Prime Minister’s Trudeau’s family has some experience with mental illness. His mother has been very open about her travails. This makes his presence at the announcement perhaps a bit more meaningful than the usual political presence at a major funding announcement.

*The five-year time limit is confirmed in a Feb. 17, 2017 McGill University news release about their presentations at the AAAS (American Association for the Advancement of Science) 2017 annual meeting) on EurekAlert,

umpstarting Neurological Research through Open Science – MNI & McGill University

Friday, February 17, 2017, 1:30-2:30 PM/ Room 208

Neurological research is advancing too slowly according to Dr. Guy Rouleau, director of the Montreal Neurological Institute (MNI) of McGill University. To speed up discovery, MNI has become the first ever Open Science academic institution in the world. In a five-year experiment, MNI is opening its books and making itself transparent to an international group of social scientists, policymakers, industrial partners, and members of civil society. They hope, by doing so, to accelerate research and the discovery of new treatments for patients with neurological diseases, and to encourage other leading institutions around the world to consider a similar model. A team led by McGill Faculty of Law’s Professor Richard Gold will monitor and evaluate how well the MNI Open Science experiment works and provide the scientific and policy worlds with insight into 21st century university-industry partnerships. At this workshop, Rouleau and Gold will discuss the benefits and challenges of this open-science initiative.

Montreal Neuro goes open science

The Montreal Neurological Institute (MNI) in Québec, Canada, known informally and widely as Montreal Neuro, has ‘opened’ its science research to the world. David Bruggeman tells the story in a Jan. 21, 2016 posting on his Pasco Phronesis blog (Note: Links have been removed),

The Montreal Neurological Institute (MNI) at McGill University announced that it will be the first academic research institute to become what it calls ‘Open Science.’  As Science is reporting, the MNI will make available all research results and research data at the time of publication.  Additionally it will not seek patents on any of the discoveries made on research at the Institute.

Will this catch on?  I have no idea if this particular combination of open access research data and results with no patents will spread to other university research institutes.  But I do believe that those elements will continue to spread.  More universities and federal agencies are pursuing open access options for research they support.  Elon Musk has opted to not pursue patent litigation for any of Tesla Motors’ patents, and has not pursued patents for SpaceX technology (though it has pursued litigation over patents in rocket technology). …

Montreal Neuro and its place in Canadian and world history

Before pursuing this announcement a little more closely, you might be interested in some of the institute’s research history (from the Montreal Neurological Institute Wikipedia entry and Note: Links have been removed),

The MNI was founded in 1934 by the neurosurgeon Dr. Wilder Penfield (1891–1976), with a $1.2 million grant from the Rockefeller Foundation of New York and the support of the government of Quebec, the city of Montreal, and private donors such as Izaak Walton Killam. In the years since the MNI’s first structure, the Rockefeller Pavilion was opened, several major structures were added to expand the scope of the MNI’s research and clinical activities. The MNI is the site of many Canadian “firsts.” Electroencephalography (EEG) was largely introduced and developed in Canada by MNI scientist Herbert Jasper, and all of the major new neuroimaging techniques—computer axial tomography (CAT), positron emission tomography (PET), and magnetic resonance imaging (MRI) were first used in Canada at the MNI. Working under the same roof, the Neuro’s scientists and physicians made discoveries that drew world attention. Penfield’s technique for epilepsy neurosurgery became known as the Montreal procedure. K.A.C. Elliott identified γ-aminobutyric acid (GABA) as the first inhibitory neurotransmitter. Brenda Milner revealed new aspects of brain function and ushered in the field of neuropsychology as a result of her groundbreaking study of the most famous neuroscience patient of the 20th century, H.M., who had anterograde amnesia and was unable to form new memories. In 2007, the Canadian government recognized the innovation and work of the MNI by naming it one of seven national Centres of Excellence in Commercialization and Research.

For those with the time and the interest, here’s a link to an interview (early 2015?) with Brenda Milner (and a bonus, related second link) as part of a science podcast series (from my March 6, 2015 posting),

Dr. Wendy Suzuki, a Professor of Neural Science and Psychology in the Center for Neural Science at New York University, whose research focuses on understanding how our brains form and retain new long-term memories and the effects of aerobic exercise on memory. Her book Healthy Brain, Happy Life will be published by Harper Collins in the Spring of 2015.

  • Totally Cerebral: Untangling the Mystery of Memory: Neuroscientist Wendy Suzuki introduces us to scientists who have uncovered some of the deepest secrets about our brains. She begins by talking with experimental psychologist Brenda Milner [interviewed in her office at McGill University, Montréal, Quebéc], who in the 1950s, completely changed our understanding of the parts of the brain important for forming new long-term memories.
  • Totally Cerebral: The Man Without a Memory: Imagine never being able to form a new long term memory after the age of 27. Welcome to the life of the famous amnesic patient “HM”. Neuroscientist Suzanne Corkin studied HM for almost half a century, and gives us a glimpse of what daily life was like for him, and his tremendous contribution to our understanding of how our memories work.

Brief personal anecdote
For those who just want the science, you may want to skip this section.

About 15 years ago, I had the privilege of talking with Mary Filer, a former surgical nurse and artist in glass. Originally from Saskatchewan, she, a former member of Wilder Penfield’s surgical team, was then in her 80s living in Vancouver and still associated with Montreal Neuro, albeit as an artist rather than a surgical nurse.

Penfield had encouraged her to pursue her interest in the arts (he was an art/science aficionado) and at this point her work could be seen many places throughout the world and, if memory serves, she had just been asked to go MNI for the unveiling of one of her latest pieces.

Her husband, then in his 90s, had founded the School of Architecture at McGill University. This couple had known all the ‘movers and shakers’ in Montreal society for decades and retired to Vancouver where their home was in a former chocolate factory.

It was one of those conversations, you just don’t forget.

More about ‘open science’ at Montreal Neuro

Brian Owens’ Jan. 21, 2016 article for Science Magazine offers some insight into the reason for the move to ‘open science’,

Guy Rouleau, the director of McGill University’s Montreal Neurological Institute (MNI) and Hospital in Canada, is frustrated with how slowly neuroscience research translates into treatments. “We’re doing a really shitty job,” he says. “It’s not because we’re not trying; it has to do with the complexity of the problem.”

So he and his colleagues at the renowned institute decided to try a radical solution. Starting this year, any work done there will conform to the principles of the “open-
science” movement—all results and data will be made freely available at the time of publication, for example, and the institute will not pursue patents on any of its discoveries. …

“It’s an experiment; no one has ever done this before,” he says. The intent is that neuroscience research will become more efficient if duplication is reduced and data are shared more widely and earlier. …”

After a year of consultations among the institute’s staff, pretty much everyone—about 70 principal investigators and 600 other scientific faculty and staff—has agreed to take part, Rouleau says. Over the next 6 months, individual units will hash out the details of how each will ensure that its work lives up to guiding principles for openness that the institute has developed. …

Owens’ article provides more information about implementation and issues about sharing. I encourage you to read it in its entirety.

As for getting more research to the patient, there’s a Jan. 26, 2016 Cafe Scientifique talk in Vancouver (my Jan. 22, 2016 ‘Events’ posting; scroll down about 40% of the way) regarding that issue although there’s no hint that the speakers will be discussing ‘open science’.