Tag Archives: big data

New magnetic state, ‘Vortion,’ able to mimic neuronal synapses

A March 3, 2025 news item on phys.org announces a new magnetic state,

Researchers from the Department of Physics [at the Autonomous University of Barcelona] have managed to experimentally develop a new magnetic state: a magneto-ionic vortex or “vortion.” The research, published in Nature Communications, allows for an unprecedented level of control of magnetic properties at the nanoscale and at room temperature, and opens new horizons for the development of advanced magnetic devices.

A March 3, 2025 Universitat Autonoma de Barcelona [Autonomous University of Barcelona] press release on EurekAlert, which originated the news item, describes the impetus for this research,

The use of Big Data has multiplied the energy demand in information technologies. Generally, to store information, systems utilize electric currents to write data, which dissipates power by heating the devices. Controlling magnetic memories with voltage, instead of electric currents, can minimise this energy expenditure. One way to achieve this is by using magneto-ionic materials, which allow for the manipulation of their magnetic properties by adding or removing ions through changes in the polarity of the applied voltage. So far, most studies in this area have focused on continuous films, rather than on controlling properties at the nanometric scale in discrete “bits”, essential for high-density data storage. Moreover, it is known that new magnetic phenomena can emerge at the sub-micrometre scale, that do not exist at the macroscopic level, such as magnetic vortices – small swirl-like magnetic structures. These vortices have applications in the way magnetic data are currently recorded and read, as well as in biomedicine. Nevertheless, changing the vortex state in already prepared materials is often impossible or requires large amounts of energy.

Researchers from the UAB Department of Physics, in collaboration with scientists from the ICMAB-CSIC, the ALBA Synchrotron and research institutions in Italy and the United States, propose a new solution that combines magneto-ionics and magnetic vortices. Researchers experimentally developed a new magnetic state that they have named magneto-ionic vortex, or “vortion”. This new object allows “on-demand” control of the magnetic properties of a nanodot (a dot of nanometric dimensions) with high precision. This is achieved by extracting nitrogen ions through the application of voltage, thus allowing for efficient control with very low energy consumption.

“This is a so far unexplored object at the nanoscale,” explains ICREA [Catalan Institution for Research and Advanced Studies] researcher in the UAB Department of Physics Jordi Sort, director of the research. “There is a great demand for controlling magnetic states at the nanoscale but, surprisingly, most of the research in magneto-ionics has so far focused on the study of films of continuous materials. If we look at the effects of ion displacement in discrete structures of nanometre dimensions, the ‘nanodots’ we have analysed, we see that very interesting dynamically evolving spin configurations appear, which are unique to these types of structures”. These spin configurations and the magnetic properties of the vortices vary as a function of the duration of the applied voltage. Thus, different magnetic states (e.g., vortices with different properties or states with uniform magnetic orientation) can be generated from nanodots of an initially non-magnetic material by the gradual extraction of ions through the application of voltage.

“With the ‘vortions’ we developed, we can have unprecedented control of magnetic properties such as magnetisation, coercivity, remanence, anisotropy or the critical fields at which vortions are formed or annihilated. These are fundamental properties for storing information in magnetic memories, which we are now able to control and tune in an analogue and reversible manner by a voltage-activated process with very low energy consumption,” explains Irena Spasojević, postdoctoral researcher in the UAB Department of Physics and first author of the paper. “The voltage actuation procedure, instead of using electric current, prevents heating in devices such as laptops, servers and data centres, and it drastically reduces energy loss.”

Researchers have shown that by precisely controlling the thickness of the voltage-generated magnetic layer, the magnetic state of the material can be varied at will, in a controlled and reversible manner, between a non-magnetic state, a state with a uniform magnetic orientation (such as that found in a magnet), and the new magneto-ionic vortex state.

Ability to mimic the behaviour of neuronal synapses

This unprecedented level of control of magnetic properties at the nanoscale and at room temperature opens new horizons for the development of advanced magnetic devices with functionalities that can be tailored once the material has been synthesised. This provides greater flexibility which is needed to meet specific technological demands. “We envision, for example, the integration of reconfigurable magneto-ionic vortices in neural networks as dynamic synapses, capable of mimicking the behaviour of biological synapses”, says Jordi Sort. In the brain, the connections between neurons, the synapses, have different weights (intensities) that adapt dynamically according to the activity and learning process. Similarly, “vortions” could provide tuneable neuronal synaptic weights, reflected in reconfigurable magnetisation or anisotropy values, for neuromorphic (brain-inspired) spintronic devices. In fact, “the activity of biological neurons and synapses is also controlled by electrical signals and ion migration, analogous to our magneto-ionic units,” comments Irena Spasojević.

Researchers believe that, besides their impact in brain-inspired devices, analogue computing or multi-state data storage systems, vortions may have other potential applications, including medical therapy techniques such as theragnostics, data security, magnetic spin computing devices (spin logics), and the generation of spin waves (magnonics).

The research, led by ICREA professor of the UAB Department of Physics Jordi Sort, and postdoctoral researcher of the UAB Department of Physics Irena Spasojević as the first author of the publication, also included Zheng Ma, from the same department, Aleix Barrera and Anna Palau, from the Institute of Materials Science of Barcelona (ICMAB-CSIC), and researchers from the ALBA Synchrotron, the Istituto Nazionale di Ricerca Metrologica (INRiM) of Turin, Italy, and Colorado State University, USA. The study was published in the latest issue of the journal Nature Communications. This study was financed by the REMINDS project from the European Research Council.

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

Magneto-ionic vortices: voltage-reconfigurable swirling-spin analog-memory nanomagnets by Irena Spasojevic, Zheng Ma, Aleix Barrera, Federica Celegato, Alessandro Magni, Sandra Ruiz-Gómez, Michael Foerster, Anna Palau, Paola Tiberto, Kristen S. Buchanan & Jordi Sort. Nature Communications volume 16, Article number: 1990 (2025) DOI: https://doi.org/10.1038/s41467-025-57321-8 Published: 26 February 2025

This paper is open access.

Is your smart TV or your car spying on you?

Simple answer: Yes.

Smart television sets (TVs)

A December 10, 2024 Universidad Carlos III de Madrid press release (also on EurekAlert) offers details about the data collected by smart TVs,

A scientific team from Universidad Carlos III de Madrid (UC3M), in collaboration with University College London (England) and the University of California, Davis (USA), has found that smart TVs send viewing data to their servers. This allows brands to generate detailed profiles of consumers’ habits and tailor advertisements based on their behaviour.

The research revealed that this technology captures screenshots or audio to identify the content displayed on the screen using Automatic Content Recognition (ACR) technology. This data is then periodically sent to specific servers, even when the TV is used as an external screen or connected to a laptop.

“Automatic Content Recognition works like a kind of visual Shazam, taking screenshots or audio to create a viewer profile based on their content consumption habits. This technology enables manufacturers’ platforms to profile users accurately, much like the internet does,” explains one of the study’s authors, Patricia Callejo, a professor in UC3M’s Department of Telematics Engineering and a fellow at the UC3M-Santander Big Data Institute. “In any case, this tracking—regardless of the usage mode—raises serious privacy concerns, especially when the TV is used solely as a monitor.”

The findings, presented in November [2024] at the Internet Measurement Conference (IMC) 2024, highlight the frequency with which these screenshots are transmitted to the servers of the brands analysed: Samsung and LG. Specifically, the research showed that Samsung TVs sent this information every minute, while LG devices did so every 15 seconds. “This gives us an idea of the intensity of the monitoring and shows that smart TV platforms collect large volumes of data on users, regardless of how they consume content—whether through traditional TV viewing or devices connected via HDMI, like laptops or gaming consoles,” Callejo emphasises.

To test the ability of TVs to block ACR tracking, the research team experimented with various privacy settings on smart TVs. The results demonstrated that, while users can voluntarily block the transmission of this data to servers, the default setting is for TVs to perform ACR. “The problem is that not all users are aware of this,” adds Callejo, who considers this lack of transparency in initial settings concerning. “Moreover, many users don’t know how to change the settings, meaning these devices function by default as tracking mechanisms for their activity.”

This research opens up new avenues for studying the tracking capabilities of cloud-connected devices that communicate with each other (commonly known as the Internet of Things, or IoT). It also suggests that manufacturers and regulators must urgently address the challenges that these new devices will present in the near future.

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

Watching TV with the Second-Party: A First Look at Automatic Content Recognition Tracking in Smart TVs by Gianluca Anselmi, Yash Vekaria, Alexander D’Souza, Patricia Callejo, Anna Maria Mandalari, Zubair Shafiq. IMC ’24: Proceedings of the 2024 ACM on Internet Measurement Conference Pages 622 – 634 DOI: https://doi.org/10.1145/3646547.3689013 Published: 04 November 2024

This paper is open access.

Cars

This was on the Canadian Broadcasting Corporation’s (CBC) Day Six radio programme and the segment is embedded in a January 19, 2025 article by Philip Drost, Note: A link has been removed,

When a Tesla Cybertruck exploded outside Trump International Hotel in Las Vegas on New Year’s Day [2025], authorities were quickly able to gather information, crediting Elon Musk and Tesla for sending them info about the car and its driver. 

But for some, it’s alarming to discover that kind of information is so readily available.

“Most carmakers are selling drivers’ personal information. That’s something that we know based on their privacy policies,” Zoë MacDonald, a writer and researcher focussing on online privacy and digital rights, told Day 6 host Brent Bambury.

The Las Vegas Metropolitan Police Department said the Tesla CEO was able to provide key details about the truck’s driver, who authorities believe died by self-inflicted gun wound at the scene, and its movement leading up to the destination. 

With that data, they were able to determine that the explosives came from a device in the truck, not the vehicle itself.  

“We have now confirmed that the explosion was caused by very large fireworks and/or a bomb carried in the bed of the rented Cybertruck and is unrelated to the vehicle itself,” Musk wrote on X following the explosion.

To privacy experts, it’s another example of how your personal information can be used in ways you may not be aware of. And while this kind of data can useful in an investigation, it’s by no means the only way companies use the information.  

“This is unfortunately not surprising that they have this data,” said David Choffnes, executive director of the Cybersecurity and Privacy Institute at Northeastern University in Boston.

“When you see it all together and know that a company has that information and continues at any point in time to hand it over to law enforcement, then you start to be a little uncomfortable, even if — in this case — it was a good thing for society.”

CBC News reached out to Tesla for comment but did not hear back before publication. 

I found this to be eye-opening, Note: A link has been removed,

MacDonald says the privacy concerns are a byproduct of all the technology new cars come with these days, including microphones, cameras, and sensors. The app that often accompanies a new car is collecting your information, too, she says.

The former writer for the Mozilla Foundation worked on a report in 2023 that examined vehicle privacy policies. For that study, MacDonald sifted through privacy policies from auto manufacturers. And she says the findings were staggering.

Most shocking of all is the information the car can learn from you, MacDonald says. It’s not just when you gas up or start your engine. Your vehicle can learn your sexual activity, disability status, and even your religious beliefs [emphasis mine].

MacDonald says it’s unclear how they car companies do this, because the information in the policies are so vague.

It can also collect biometric data, such as facial geometric features, iris scans, and fingerprints [emphasis mine].

This extends far past the driver. MacDonald says she read one privacy policy that required drivers to read out a statement every time someone entered the vehicle, to make them aware of the data the car collects, something that seems unlikely to go down before your Uber ride.

If that doesn’t bother you, then this might, Note: A link has been removed,

And car companies aren’t just keeping that information to themselves.

Confronted with these types of privacy concerns, many people simply say they have nothing to hide, Choffnes says. But when money is involved, they change their tune. 

According to an investigation from the New York Times in March of 2024, General Motors shared information on how people drive their cars with data brokers that create risk profiles for the insurance industry, which resulted in people’s insurance premiums going up [emphases mine]. General Motors has since said it has stopped sharing those details [emphasis mine].

“The issue with these kinds of services is that it’s not clear that it is being done in a correct or fair way, and that those costs are actually unfair to consumers,” said Choffnes. 

For example, if you make a hard stop to avoid an accident because of something the car in front of you did, the vehicle could register it as poor driving.

Drost’s January 19, 2025 article notes that the US Federal Trade Commission has proposed a five year moratorium to prevent General Motors from selling geolocation and driver behavior data to consumer report agencies. In the meantime,

“Cars are a privacy nightmare. And that is not a problem that Canadian consumers can solve or should solve or should have the burden to try to solve for themselves,” said MacDonald.

If you have the time, read Drost’s January 19, 2025 article and/or listen to the embedded radio segment.

Smart City tech brief: facial recognition, cybersecurity; privacy protection; and transparency

This May 10, 2022 Association for Computing Machinery (ACM) announcement (received via email) has an eye-catching head,

Should Smart Cities Adopt Facial Recognition, Remote Monitoring Software+Social Media to Police [verb] Info?

The Association for Computing Machinery, the largest and most prestigious computer science society worldwide (100,000 members) has released a report, ACM TechBrief: Smart Cities, for smart city planners to address 1) cybersecurity; 2) privacy protections; 3) fairness and transparency; and 4) sustainability when planning and designing systems, including climate impact. 

There’s a May 3, 2022 ACM news release about the latest technical brief,

The Association for Computing Machinery’s global Technology Policy Council (ACM TPC) just released, “ACM TechBrief: Smart Cities,” which highlights the challenges involved in deploying information and communication technology to create smart cities and calls for policy leaders planning such projects to do so without compromising security, privacy, fairness and sustainability. The TechBrief includes a primer on smart cities, key statistics about the growth and use of these technologies, and a short list of important policy implications.

“Smart cities” are municipalities that use a network of physical devices and computer technologies to make the delivery of public services more efficient and/or more environmentally friendly. Examples of smart city applications include using sensors to turn off streetlights when no one is present, monitoring traffic patterns to reduce roadway congestion and air pollution, or keeping track of home-bound medical patients in order to dispatch emergency responders when needed. Smart cities are an outgrowth of the Internet of Things (IoT), the rapidly growing infrastructure of literally billions of physical devices embedded with sensors that are connected to computers and the Internet.

The deployment of smart city technology is growing across the world, and these technologies offer significant benefits. For example, the TechBrief notes that “investing in smart cities could contribute significantly to achieving greenhouse gas emissions reduction targets,” and that “smart cities use digital innovation to make urban service delivery more efficient.”

Because of the meteoric growth and clear benefits of smart city technologies, the TechBrief notes that now is an urgent time to address some of the important public policy concerns that smart city technologies raise. The TechBrief lists four key policy implications that government officials, as well as the private companies that develop these technologies, should consider.

These include:

Cybersecurity risks must be considered at every stage of every smart city technology’s life cycle.

Effective privacy protection mechanisms must be an essential component of any smart city technology deployed.

Such mechanisms should be transparently fair to all city users, not just residents.

The climate impact of smart city infrastructures must be fully understood as they are being designed and regularly assessed after they are deployed

“Smart cities are fast becoming a reality around the world,”explains Chris Hankin, a Professor at Imperial College London and lead author of the ACM TechBrief on Smart Cities. “By 2025, 26% of all internet-connected devices will be used in a smart city application. As technologists, we feel we have a responsibility to raise important questions to ensure that these technologies best serve the public interest. For example, many people are unaware that some smart city technologies involve the collection of personally identifiable data. We developed this TechBrief to familiarize the public and lawmakers with this topic and present some key issues for consideration. Our overarching goal is to guide enlightened public policy in this area.”

“Our new TechBrief series builds on earlier and ongoing work by ACM’s technology policy committees,” added James Hendler, Professor at Rensselaer Polytechnic Institute and Chair of the ACM Technology Policy Council. “Because many smart city applications involve algorithms making decisions which impact people directly, this TechBrief calls for methods to ensure fairness and transparency in how these systems are developed. This reinforces an earlier statement we issued that outlined seven principles for algorithmic transparency and accountability. We also note that smart city infrastructures are especially vulnerable to malicious attacks.”

This TechBrief is the third in a series of short technical bulletins by ACM TPC that present scientifically grounded perspectives on the impact of specific developments or applications of technology. Designed to complement ACM’s activities in the policy arena, TechBriefs aim to inform policymakers, the public, and others about the nature and implications of information technologies. The first ACM TechBrief focused on climate change, while the second addressed facial recognition. Topics under consideration for future issues include quantum computing, election security, and encryption.

About the ACM Technology Policy Council

ACM’s global Technology Policy Council sets the agenda for ACM’s global policy activities and serves as the central convening point for ACM’s interactions with government organizations, the computing community, and the public in all matters of public policy related to computing and information technology. The Council’s members are drawn from ACM’s global membership. It coordinates the activities of ACM’s regional technology policy groups and sets the agenda for global initiatives to address evolving technology policy issues.

About ACM

ACM, the Association for Computing Machinery, is the world’s largest educational and scientific computing society, uniting educators, researchers and professionals to inspire dialogue, share resources and address the field’s challenges. ACM strengthens the computing profession’s collective voice through strong leadership, promotion of the highest standards, and recognition of technical excellence. ACM supports the professional growth of its members by providing opportunities for life-long learning, career development, and professional networking.

This is indeed a brief. I recommend reading it as it provides a very good overview to the topic of ‘smart cities’ and raises a question or two. For example, there’s this passage from the April 2022 Issue 3 Technical Brief on p. 2,

… policy makers should target broad and fair access and application of AI and, in general, ICT [information and communication technologies]. This can be achieved through transparent planning and decision-making processes for smart city infrastructure and application developments, such as open hearings, focus groups, and advisory panels. The goal must be to minimize potential harm while maximizing the benefits that algorithmic decision-making [emphasis mine] can bring

Is this algorithmic decision-making under human supervision? It doesn’t seem to be specified in the brief itself. It’s possible the answer lies elsewhere. After all, this is the third in the series.

Public relations practitioners and artificial intelligence (AI)

A December 2, 2021 news item on phys.org sheds light on an AI topic new to me,

A new research report from the Chartered Institute of Public Relations’ AIinPR Panel, which has been co-authored by the University’s [of Huddersfield] Emeritus Professor of Corporate Communication Anne Gregory, has found that practitioners see the huge potential that artificial intelligence (AI) and Big Data offers the profession but possess limited knowledge on technical aspects of both.

A December ?, 2021 University of Huddersfield press release (also on the Chartered Institute of Public Relations [CIPR] website but dated November 23, 2021), which originated the news item, offers a summary of the report’s results,

The ‘AI and Big Data Readiness Report – Assessing the Public Relations Profession’s Preparedness for an AI Future’ research provides an overview of current AI understanding and preparedness within public relations and outlines how the profession should equip itself to exploit the potential and guard against the possible dangers of AI. 

“We need to get a strategic grip and determine for ourselves what our enhanced role and contribution can be in the organisations we serve. Otherwise, others will make the decision for us and it won’t be in our favour. This Report serves as the wake-up call.” [said] Professor Anne Gregory

It finds a significant number of PR practitioners have limited knowledge of AI and lack confidence in using it (43.2%), compared with only a small number who feel “very comfortable” (13.9%). However, practitioners are optimistic and have an eagerness to learn. Their challenge is they do not know what they need to know and they don’t know where to start. 

The report finds: 

41.5% of respondents claim to understand what AI as a technology means but do not consider themselves technical

Over one in three (38.9%) PR practitioners feel ‘excited’ about AI compared to just 3.9% who feel ‘overwhelmed’

30% of practitioners are familiar with AI technology but don’t feel confident to apply their knowledge to their role

One in five practitioners (20.7%) feel very comfortable using data and analytics in their role compared to just 8.2% of those who feel the same about AI

Around one in five practitioners are familiar with the relevance of both AI and Big Data on the communication profession

It would have been nice if the authors had included a little more detail about the previous research so as to better understand this report’s results.

As for the ‘AI and Big Data Readiness Report – Assessing the Public Relations Profession’s Preparedness for an AI Future’ report itself, I wish the authors had delved further into what the “41.5% of respondents claim to understand …” actually do understand about AI technology.

One last note, I was glad to see that the topic of ethics was also included in the survey.

Data science guide from Sense about Science

Sense about Science, headquartered in the UK, is in its own words (from its homepage)

Sense about Science is an independent campaigning charity that challenges the misrepresentation of science and evidence in public life. …

According to an October 1, 2019 announcement from Sense about Science (received via email), the organization has published a new guide,

Our director warned yesterday [September 30, 2019] that data science is being given a free
pass on quality in too many arenas. From flood predictions to mortgage offers to the prediction of housing needs, we are not asking enough about whether AI solutions and algorithms can bear the weight we want to put on them.

It was the UK launch of our ‘Data Science: a guide for society’ at the Institute of Physics, where we invited representatives from different sectors to take up the challenge of creating a more questioning culture. Tracey Brown said the situation was like medicine 50 years ago: it seems that some people have become too clever to explain and the rest of us are feeling too dumb to ask.

At the end of the event we had a lot of proposals for how to make different communities aware of the guide’s three fundamental questions from the people who attended. There are many hundreds of people among our friends who could do something along these lines:

     * Publicise the guide
     * Incorporate it into your own work
     * Send it to people who are involved in procurement, licensing or
reporting or decision making at community, national and international
levels
     * Undertake a project with us to equip particular groups such as
parliamentary advisers, journalists and small charities.

Would you take a look at the guide [1] here and tell me if there’s something you can do? (alex@senseaboutscience.org)

There are launches planned in other countries over the rest of this year and into 2020. We are drawing up a map of offers to reach different communities. I’ll share all your suggestions with my colleague Errin Riley at the end of this week and we will get back to you quickly.

Before linking you to the guide, here’s a brief description from the Patterns in Data webpage,

In recent years, phrases like ‘big data’, ‘machine learning’, ‘algorithms’ and ‘pattern recognition’ have started slipping into everyday discussion. We’ve worked with researchers and experts to generate an open and informed public discussion on patterns in data across a wide range of projects.

Data Science: A guide for society

According to the headlines, we’re in the middle of a ‘data revolution: large, detailed datasets and complex algorithms allow us to make predictions on anything from who will win the league to who is likely to commit a crime. Our ability to question the quality of evidence – as the public, journalists, politicians or decision makers – needs to be expanded to meet this. To know the questions to ask and how to press for clarity about the strengths and weaknesses of using analysis from data models to make decisions. This is a guide to having more of those conversations, regardless of how much you don’t know about data science.

Here’s Data Science: A Guide for Society.

Gene editing and personalized medicine: Canada

Back in the fall of 2018 I came across one of those overexcited pieces about personalized medicine and gene editing tha are out there. This one came from an unexpected source, an author who is a “PhD Scientist in Medical Science (Blood and Vasculature” (from Rick Gierczak’s LinkedIn profile).

It starts our promisingly enough although I’m beginning to dread the use of the word ‘precise’  where medicine is concerned, (from a September 17, 2018 posting on the Science Borealis blog by Rick Gierczak (Note: Links have been removed),

CRISPR-Cas9 technology was accidentally discovered in the 1980s when scientists were researching how bacteria defend themselves against viral infection. While studying bacterial DNA called clustered regularly interspaced short palindromic repeats (CRISPR), they identified additional CRISPR-associated (Cas) protein molecules. Together, CRISPR and one of those protein molecules, termed Cas9, can locate and cut precise regions of bacterial DNA. By 2012, researchers understood that the technology could be modified and used more generally to edit the DNA of any plant or animal. In 2015, the American Association for the Advancement of Science chose CRISPR-Cas9 as science’s “Breakthrough of the Year”.

Today, CRISPR-Cas9 is a powerful and precise gene-editing tool [emphasis mine] made of two molecules: a protein that cuts DNA (Cas9) and a custom-made length of RNA that works like a GPS for locating the exact spot that needs to be edited (CRISPR). Once inside the target cell nucleus, these two molecules begin editing the DNA. After the desired changes are made, they use a repair mechanism to stitch the new DNA into place. Cas9 never changes, but the CRISPR molecule must be tailored for each new target — a relatively easy process in the lab. However, it’s not perfect, and occasionally the wrong DNA is altered [emphasis mine].

Note that Gierczak makes a point of mentioning that CRISPR/Cas9 is “not perfect.” And then, he gets excited (Note: Links have been removed),

CRISPR-Cas9 has the potential to treat serious human diseases, many of which are caused by a single “letter” mutation in the genetic code (A, C, T, or G) that could be corrected by precise editing. [emphasis mine] Some companies are taking notice of the technology. A case in point is CRISPR Therapeutics, which recently developed a treatment for sickle cell disease, a blood disorder that causes a decrease in oxygen transport in the body. The therapy targets a special gene called fetal hemoglobin that’s switched off a few months after birth. Treatment involves removing stem cells from the patient’s bone marrow and editing the gene to turn it back on using CRISPR-Cas9. These new stem cells are returned to the patient ready to produce normal red blood cells. In this case, the risk of error is eliminated because the new cells are screened for the correct edit before use.

The breakthroughs shown by companies like CRISPR Therapeutics are evidence that personalized medicine has arrived. [emphasis mine] However, these discoveries will require government regulatory approval from the countries where the treatment is going to be used. In the US, the Food and Drug Administration (FDA) has developed new regulations allowing somatic (i.e., non-germ) cell editing and clinical trials to proceed. [emphasis mine]

The potential treatment for sickle cell disease is exciting but Gierczak offers no evidence that this treatment or any unnamed others constitute proof that “personalized medicine has arrived.” In fact, Goldman Sachs, a US-based investment bank, makes the case that it never will .

Cost/benefit analysis

Edward Abrahams, president of the Personalized Medicine Coalition (US-based), advocates for personalized medicine while noting in passing, market forces as represented by Goldman Sachs in his May 23, 2018 piece for statnews.com (Note: A link has been removed),

One of every four new drugs approved by the Food and Drug Administration over the last four years was designed to become a personalized (or “targeted”) therapy that zeros in on the subset of patients likely to respond positively to it. That’s a sea change from the way drugs were developed and marketed 10 years ago.

Some of these new treatments have extraordinarily high list prices. But focusing solely on the cost of these therapies rather than on the value they provide threatens the future of personalized medicine.

… most policymakers are not asking the right questions about the benefits of these treatments for patients and society. Influenced by cost concerns, they assume that prices for personalized tests and treatments cannot be justified even if they make the health system more efficient and effective by delivering superior, longer-lasting clinical outcomes and increasing the percentage of patients who benefit from prescribed treatments.

Goldman Sachs, for example, issued a report titled “The Genome Revolution.” It argues that while “genome medicine” offers “tremendous value for patients and society,” curing patients may not be “a sustainable business model.” [emphasis mine] The analysis underlines that the health system is not set up to reap the benefits of new scientific discoveries and technologies. Just as we are on the precipice of an era in which gene therapies, gene-editing, and immunotherapies promise to address the root causes of disease, Goldman Sachs says that these therapies have a “very different outlook with regard to recurring revenue versus chronic therapies.”

Let’s just chew on this one (contemplate)  for a minute”curing patients may not be ‘sustainable business model’!”

Coming down to earth: policy

While I find Gierczak to be over-enthused, he, like Abrahams, emphasizes the importance of new policy, in his case, the focus is Canadian policy. From Gierczak’s September 17, 2018 posting (Note: Links have been removed),

In Canada, companies need approval from Health Canada. But a 2004 law called the Assisted Human Reproduction Act (AHR Act) states that it’s a criminal offence “to alter the genome of a human cell, or in vitroembryo, that is capable of being transmitted to descendants”. The Actis so broadly written that Canadian scientists are prohibited from using the CRISPR-Cas9 technology on even somatic cells. Today, Canada is one of the few countries in the world where treating a disease with CRISPR-Cas9 is a crime.

On the other hand, some countries provide little regulatory oversight for editing either germ or somatic cells. In China, a company often only needs to satisfy the requirements of the local hospital where the treatment is being performed. And, if germ-cell editing goes wrong, there is little recourse for the future generations affected.

The AHR Act was introduced to regulate the use of reproductive technologies like in vitrofertilization and research related to cloning human embryos during the 1980s and 1990s. Today, we live in a time when medical science, and its role in Canadian society, is rapidly changing. CRISPR-Cas9 is a powerful tool, and there are aspects of the technology that aren’t well understood and could potentially put patients at risk if we move ahead too quickly. But the potential benefits are significant. Updated legislation that acknowledges both the risks and current realities of genomic engineering [emphasis mine] would relieve the current obstacles and support a path toward the introduction of safe new therapies.

Criminal ban on human gene-editing of inheritable cells (in Canada)

I had no idea there was a criminal ban on the practice until reading this January 2017 editorial by Bartha Maria Knoppers, Rosario Isasi, Timothy Caulfield, Erika Kleiderman, Patrick Bedford, Judy Illes, Ubaka Ogbogu, Vardit Ravitsky, & Michael Rudnicki for (Nature) npj Regenerative Medicine (Note: Links have been removed),

Driven by the rapid evolution of gene editing technologies, international policy is examining which regulatory models can address the ensuing scientific, socio-ethical and legal challenges for regenerative and personalised medicine.1 Emerging gene editing technologies, including the CRISPR/Cas9 2015 scientific breakthrough,2 are powerful, relatively inexpensive, accurate, and broadly accessible research tools.3 Moreover, they are being utilised throughout the world in a wide range of research initiatives with a clear eye on potential clinical applications. Considering the implications of human gene editing for selection, modification and enhancement, it is time to re-examine policy in Canada relevant to these important advances in the history of medicine and science, and the legislative and regulatory frameworks that govern them. Given the potential human reproductive applications of these technologies, careful consideration of these possibilities, as well as ethical and regulatory scrutiny must be a priority.4

With the advent of human embryonic stem cell research in 1978, the birth of Dolly (the cloned sheep) in 1996 and the Raelian cloning hoax in 2003, the environment surrounding the enactment of Canada’s 2004 Assisted Human Reproduction Act (AHRA) was the result of a decade of polarised debate,5 fuelled by dystopian and utopian visions for future applications. Rightly or not, this led to the AHRA prohibition on a wide range of activities, including the creation of embryos (s. 5(1)(b)) or chimeras (s. 5(1)(i)) for research and in vitro and in vivo germ line alterations (s. 5(1)(f)). Sanctions range from a fine (up to $500,000) to imprisonment (up to 10 years) (s. 60 AHRA).

In Canada, the criminal ban on gene editing appears clear, the Act states that “No person shall knowingly […] alter the genome of a cell of a human being or in vitro embryo such that the alteration is capable of being transmitted to descendants;” [emphases mine] (s. 5(1)(f) AHRA). This approach is not shared worldwide as other countries such as the United Kingdom, take a more regulatory approach to gene editing research.1 Indeed, as noted by the Law Reform Commission of Canada in 1982, criminal law should be ‘an instrument of last resort’ used solely for “conduct which is culpable, seriously harmful, and generally conceived of as deserving of punishment”.6 A criminal ban is a suboptimal policy tool for science as it is inflexible, stifles public debate, and hinders responsiveness to the evolving nature of science and societal attitudes.7 In contrast, a moratorium such as the self-imposed research moratorium on human germ line editing called for by scientists in December 20158 can at least allow for a time limited pause. But like bans, they may offer the illusion of finality and safety while halting research required to move forward and validate innovation.

On October 1st, 2016, Health Canada issued a Notice of Intent to develop regulations under the AHRA but this effort is limited to safety and payment issues (i.e. gamete donation). Today, there is a need for Canada to revisit the laws and policies that address the ethical, legal and social implications of human gene editing. The goal of such a critical move in Canada’s scientific and legal history would be a discussion of the right of Canadians to benefit from the advancement of science and its applications as promulgated in article 27 of the Universal Declaration of Human Rights9 and article 15(b) of the International Covenant on Economic, Social and Cultural Rights,10 which Canada has signed and ratified. Such an approach would further ensure the freedom of scientific endeavour both as a principle of a liberal democracy and as a social good, while allowing Canada to be engaged with the international scientific community.

Even though it’s a bit old, I still recommend reading the open access editorial in full, if you have the time.

One last thing abut the paper, the acknowledgements,

Sponsored by Canada’s Stem Cell Network, the Centre of Genomics and Policy of McGill University convened a ‘think tank’ on the future of human gene editing in Canada with legal and ethics experts as well as representatives and observers from government in Ottawa (August 31, 2016). The experts were Patrick Bedford, Janetta Bijl, Timothy Caulfield, Judy Illes, Rosario Isasi, Jonathan Kimmelman, Erika Kleiderman, Bartha Maria Knoppers, Eric Meslin, Cate Murray, Ubaka Ogbogu, Vardit Ravitsky, Michael Rudnicki, Stephen Strauss, Philip Welford, and Susan Zimmerman. The observers were Geneviève Dubois-Flynn, Danika Goosney, Peter Monette, Kyle Norrie, and Anthony Ridgway.

Competing interests

The authors declare no competing interests.

Both McGill and the Stem Cell Network pop up again. A November 8, 2017 article about the need for new Canadian gene-editing policies by Tom Blackwell for the National Post features some familiar names (Did someone have a budget for public relations and promotion?),

It’s one of the most exciting, and controversial, areas of health science today: new technology that can alter the genetic content of cells, potentially preventing inherited disease — or creating genetically enhanced humans.

But Canada is among the few countries in the world where working with the CRISPR gene-editing system on cells whose DNA can be passed down to future generations is a criminal offence, with penalties of up to 10 years in jail.

This week, one major science group announced it wants that changed, calling on the federal government to lift the prohibition and allow researchers to alter the genome of inheritable “germ” cells and embryos.

The potential of the technology is huge and the theoretical risks like eugenics or cloning are overplayed, argued a panel of the Stem Cell Network.

The step would be a “game-changer,” said Bartha Knoppers, a health-policy expert at McGill University, in a presentation to the annual Till & McCulloch Meetings of stem-cell and regenerative-medicine researchers [These meetings were originally known as the Stem Cell Network’s Annual General Meeting {AGM}]. [emphases mine]

“I’m completely against any modification of the human genome,” said the unidentified meeting attendee. “If you open this door, you won’t ever be able to close it again.”

If the ban is kept in place, however, Canadian scientists will fall further behind colleagues in other countries, say the experts behind the statement say; they argue possible abuses can be prevented with good ethical oversight.

“It’s a human-reproduction law, it was never meant to ban and slow down and restrict research,” said Vardit Ravitsky, a University of Montreal bioethicist who was part of the panel. “It’s a sort of historical accident … and now our hands are tied.”

There are fears, as well, that CRISPR could be used to create improved humans who are genetically programmed to have certain facial or other features, or that the editing could have harmful side effects. Regardless, none of it is happening in Canada, good or bad.

In fact, the Stem Cell Network panel is arguably skirting around the most contentious applications of the technology. It says it is asking the government merely to legalize research for its own sake on embryos and germ cells — those in eggs and sperm — not genetic editing of embryos used to actually get women pregnant.

The highlighted portions in the last two paragraphs of the excerpt were written one year prior to the claims by a Chinese scientist that he had run a clinical trial resulting in gene-edited twins, Lulu and Nana. (See my my November 28, 2018 posting for a comprehensive overview of the original furor). I have yet to publish a followup posting featuring the news that the CRISPR twins may have been ‘improved’ more extensively than originally realized. The initial reports about the twins focused on an illness-related reason (making them HIV ‘immune’) but made no mention of enhanced cognitive skills a side effect of eliminating the gene that would make them HIV ‘immune’. To date, the researcher has not made the bulk of his data available for an in-depth analysis to support his claim that he successfully gene-edited the twins. As well, there were apparently seven other pregnancies coming to term as part of the researcher’s clinical trial and there has been no news about those births.

Risk analysis innovation

Before moving onto the innovation of risk analysis, I want to focus a little more on at least one of the risks that gene-editing might present. Gierczak noted that CRISPR/Cas9 is “not perfect,” which acknowledges the truth but doesn’t convey all that much information.

While the terms ‘precision’ and ‘scissors’ are used frequently when describing the CRISPR technique, scientists actually mean that the technique is significantly ‘more precise’ than other techniques but they are not referencing an engineering level of precision. As for the ‘scissors’, it’s an analogy scientists like to use but in fact CRISPR is not as efficient and precise as a pair of scissors.

Michael Le Page in a July 16, 2018 article for New Scientist lays out some of the issues (Note: A link has been removed),

A study of CRIPSR suggests we shouldn’t rush into trying out CRISPR genome editing inside people’s bodies just yet. The technique can cause big deletions or rearrangements of DNA [emphasis mine], says Allan Bradley of the Wellcome Sanger Institute in the UK, meaning some therapies based on CRISPR may not be quite as safe as we thought.

The CRISPR genome editing technique is revolutionising biology, enabling us to create new varieties of plants and animals and develop treatments for a wide range of diseases.

The CRISPR Cas9 protein works by cutting the DNA of a cell in a specific place. When the cell repairs the damage, a few DNA letters get changed at this spot – an effect that can be exploited to disable genes.

At least, that’s how it is supposed to work. But in studies of mice and human cells, Bradley’s team has found that in around a fifth of cells, CRISPR causes deletions or rearrangements more than 100 DNA letters long. These surprising changes are sometimes thousands of letters long.

“I do believe the findings are robust,” says Gaetan Burgio of the Australian National University, an expert on CRISPR who has debunked previous studies questioning the method’s safety. “This is a well-performed study and fairly significant.”

I covered the Bradley paper and the concerns in a July 17, 2018 posting ‘The CRISPR ((clustered regularly interspaced short palindromic repeats)-CAS9 gene-editing technique may cause new genetic damage kerfuffle‘. (The ‘kerfufle’ was in reference to a report that the CRISPR market was affected by the publication of Bradley’s paper.)

Despite Health Canada not moving swiftly enough for some researchers, they have nonetheless managed to release an ‘outcome’ report about a consultation/analysis started in October 2016. Before getting to the consultation’s outcome, it’s interesting to look at how the consultation’s call for response was described (from Health Canada’s Toward a strengthened Assisted Human Reproduction Act ; A Consultation with Canadians on Key Policy Proposals webpage),

In October 2016, recognizing the need to strengthen the regulatory framework governing assisted human reproduction in Canada, Health Canada announced its intention to bring into force the dormant sections of the Assisted Human Reproduction Act  and to develop the necessary supporting regulations.

This consultation document provides an overview of the key policy proposals that will help inform the development of regulations to support bringing into force Section 10, Section 12 and Sections 45-58 of the Act. Specifically, the policy proposals describe the Department’s position on the following:

Section 10: Safety of Donor Sperm and Ova

  • Scope and application
  • Regulated parties and their regulatory obligations
  • Processing requirements, including donor suitability assessment
  • Record-keeping and traceability

Section 12: Reimbursement

  • Expenditures that may be reimbursed
  • Process for reimbursement
  • Creation and maintenance of records

Sections 45-58: Administration and Enforcement

  • Scope of the administration and enforcement framework
  • Role of inspectors designated under the Act

The purpose of the document is to provide Canadians with an opportunity to review the policy proposals and to provide feedback [emphasis mine] prior to the Department finalizing policy decisions and developing the regulations. In addition to requesting stakeholders’ general feedback on the policy proposals, the Department is also seeking input on specific questions, which are included throughout the document.

It took me a while to find the relevant section (in particular, take note of ‘Federal Regulatory Oversight’),

3.2. AHR in Canada Today

Today, an increasing number of Canadians are turning to AHR technologies to grow or build their families. A 2012 Canadian studyFootnote 1 found that infertility is on the rise in Canada, with roughly 16% of heterosexual couples experiencing infertility. In addition to rising infertility, the trend of delaying marriage and parenthood, scientific advances in cryopreserving ova, and the increasing use of AHR by LGBTQ2 couples and single parents to build a family are all contributing to an increase in the use of AHR technologies.

The growing use of reproductive technologies by Canadians to help build their families underscores the need to strengthen the AHR Act. While the approach to regulating AHR varies from country to country, Health Canada has considered international best practices and the need for regulatory alignment when developing the proposed policies set out in this document. …

3.2.1 Federal Regulatory Oversight

Although the scope of the AHR Act was significantly reduced in 2012 and some of the remaining sections have not yet been brought into force, there are many important sections of the Act that are currently administered and enforced by Health Canada, as summarized generally below:

Section 5: Prohibited Scientific and Research Procedures
Section 5 prohibits certain types of scientific research and clinical procedures that are deemed unacceptable, including: human cloning, the creation of an embryo for non-reproductive purposes, maintaining an embryo outside the human body beyond the fourteenth day, sex selection for non-medical reasons, altering the genome in a way that could be transmitted to descendants, and creating a chimera or a hybrid. [emphasis mine]

….

It almost seems as if the they were hiding the section that broached the human gene-editing question. It doesn’t seem to have worked as it appears, there are some very motivated parties determined to reframe the discussion. Health Canada’s ‘outocme’ report, published March 2019, What we heard: A summary of scanning and consultations on what’s next for health product regulation reflects the success of those efforts,

1.0 Introduction and Context

Scientific and technological advances are accelerating the pace of innovation. These advances are increasingly leading to the development of health products that are better able to predict, define, treat, and even cure human diseases. Globally, many factors are driving regulators to think about how to enable health innovation. To this end, Health Canada has been expanding beyond existing partnerships and engaging both domestically and internationally. This expanding landscape of products and services comes with a range of new challenges and opportunities.

In keeping up to date with emerging technologies and working collaboratively through strategic partnerships, Health Canada seeks to position itself as a regulator at the forefront of health innovation. Following the targeted sectoral review of the Health and Biosciences Sector Regulatory Review consultation by the Treasury Board Secretariat, Health Canada held a number of targeted meetings with a broad range of stakeholders.

This report outlines the methodologies used to look ahead at the emerging health technology environment, [emphasis mine] the potential areas of focus that resulted, and the key findings from consultations.

… the Department identified the following key drivers that are expected to shape the future of health innovation:

  1. The use of “big data” to inform decision-making: Health systems are generating more data, and becoming reliant on this data. The increasing accuracy, types, and volume of data available in real time enable automation and machine learning that can forecast activity, behaviour, or trends to support decision-making.
  2. Greater demand for citizen agency: Canadians increasingly want and have access to more information, resources, options, and platforms to manage their own health (e.g., mobile apps, direct-to-consumer services, decentralization of care).
  3. Increased precision and personalization in health care delivery: Diagnostic tools and therapies are increasingly able to target individual patients with customized therapies (e.g., individual gene therapy).
  4. Increased product complexity: Increasingly complex products do not fit well within conventional product classifications and standards (e.g., 3D printing).
  5. Evolving methods for production and distribution: In some cases, manufacturers and supply chains are becoming more distributed, challenging the current framework governing production and distribution of health products.
  6. The ways in which evidence is collected and used are changing: The processes around new drug innovation, research and development, and designing clinical trials are evolving in ways that are more flexible and adaptive.

With these key drivers in mind, the Department selected the following six emerging technologies for further investigation to better understand how the health product space is evolving:

  1. Artificial intelligence, including activities such as machine learning, neural networks, natural language processing, and robotics.
  2. Advanced cell therapies, such as individualized cell therapies tailor-made to address specific patient needs.
  3. Big data, from sources such as sensors, genetic information, and social media that are increasingly used to inform patient and health care practitioner decisions.
  4. 3D printing of health products (e.g., implants, prosthetics, cells, tissues).
  5. New ways of delivering drugs that bring together different product lines and methods (e.g., nano-carriers, implantable devices).
  6. Gene editing, including individualized gene therapies that can assist in preventing and treating certain diseases.

Next, to test the drivers identified and further investigate emerging technologies, the Department consulted key organizations and thought leaders across the country with expertise in health innovation. To this end, Health Canada held seven workshops with over 140 representatives from industry associations, small-to-medium sized enterprises and start-ups, larger multinational companies, investors, researchers, and clinicians in Ottawa, Toronto, Montreal, and Vancouver. [emphases mine]

The ‘outocme’ report, ‘What we heard …’, is well worth reading in its entirety; it’s about 9 pp.

I have one comment, ‘stakeholders’ don’t seem to include anyone who isn’t “from industry associations, small-to-medium sized enterprises and start-ups, larger multinational companies, investors, researchers, and clinician” or from “Ottawa, Toronto, Montreal, and Vancouver.” Aren’t the rest of us stakeholders?

Innovating risk analysis

This line in the report caught my eye (from Health Canada’s Toward a strengthened Assisted Human Reproduction Act ; A Consultation with Canadians on Key Policy Proposals webpage),

There is increasing need to enable innovation in a flexible, risk-based way, with appropriate oversight to ensure safety, quality, and efficacy. [emphases mine]

It reminded me of the 2019 federal budget (from my March 22, 2019 posting). One comment before proceeding, regulation and risk are tightly linked and, so, by innovating regulation they are by exttension alos innovating risk analysis,

… Budget 2019 introduces the first three “Regulatory Roadmaps” to specifically address stakeholder issues and irritants in these sectors, informed by over 140 responses [emphasis mine] from businesses and Canadians across the country, as well as recommendations from the Economic Strategy Tables.

Introducing Regulatory Roadmaps

These Roadmaps lay out the Government’s plans to modernize regulatory frameworks, without compromising our strong health, safety, and environmental protections. They contain proposals for legislative and regulatory amendments as well as novel regulatory approaches to accommodate emerging technologies, including the use of regulatory sandboxes and pilot projects—better aligning our regulatory frameworks with industry realities.

Budget 2019 proposes the necessary funding and legislative revisions so that regulatory departments and agencies can move forward on the Roadmaps, including providing the Canadian Food Inspection Agency, Health Canada and Transport Canada with up to $219.1 million over five years, starting in 2019–20, (with $0.5 million in remaining amortization), and $3.1 million per year on an ongoing basis.

In the coming weeks, the Government will be releasing the full Regulatory Roadmaps for each of the reviews, as well as timelines for enacting specific initiatives, which can be grouped in the following three main areas:

What Is a Regulatory Sandbox? Regulatory sandboxes are controlled “safe spaces” in which innovative products, services, business models and delivery mechanisms can be tested without immediately being subject to all of the regulatory requirements.
– European Banking Authority, 2017

Establishing a regulatory sandbox for new and innovative medical products
The regulatory approval system has not kept up with new medical technologies and processes. Health Canada proposes to modernize regulations to put in place a regulatory sandbox for new and innovative products, such as tissues developed through 3D printing, artificial intelligence, and gene therapies targeted to specific individuals. [emphasis mine]

Modernizing the regulation of clinical trials
Industry and academics have expressed concerns that regulations related to clinical trials are overly prescriptive and inconsistent. Health Canada proposes to implement a risk-based approach [emphasis mine] to clinical trials to reduce costs to industry and academics by removing unnecessary requirements for low-risk drugs and trials. The regulations will also provide the agri-food industry with the ability to carry out clinical trials within Canada on products such as food for special dietary use and novel foods.

Does the government always get 140 responses from a consultation process? Moving on, I agree with finding new approaches to regulatory processes and oversight and, by extension, new approaches to risk analysis.

Earlier in this post, I asked if someone had a budget for public relations/promotion. I wasn’t joking. My March 22, 2019 posting also included these line items in the proposed 2019 budget,

Budget 2019 proposes to make additional investments in support of the following organizations:
Stem Cell Network: Stem cell research—pioneered by two Canadians in the 1960s [James Till and Ernest McCulloch]—holds great promise for new therapies and medical treatments for respiratory and heart diseases, spinal cord injury, cancer, and many other diseases and disorders. The Stem Cell Network is a national not-for-profit organization that helps translate stem cell research into clinical applications and commercial products. To support this important work and foster Canada’s leadership in stem cell research, Budget 2019 proposes to provide the Stem Cell Network with renewed funding of $18 million over three years, starting in 2019–20.

Genome Canada: The insights derived from genomics—the study of the entire genetic information of living things encoded in their DNA and related molecules and proteins—hold the potential for breakthroughs that can improve the lives of Canadians and drive innovation and economic growth. Genome Canada is a not-for-profit organization dedicated to advancing genomics science and technology in order to create economic and social benefits for Canadians. To support Genome Canada’s operations, Budget 2019 proposes to provide Genome Canada with $100.5 million over five years, starting in 2020–21. This investment will also enable Genome Canada to launch new large-scale research competitions and projects, in collaboration with external partners, ensuring that Canada’s research community continues to have access to the resources needed to make transformative scientific breakthroughs and translate these discoveries into real-world applications.

Years ago, I managed to find a webpage with all of the proposals various organizations were submitting to a government budget committee. It was eye-opening. You can tell which organizations were able to hire someone who knew the current government buzzwords and the things that a government bureaucrat would want to hear and the organizations that didn’t.

Of course, if the government of the day is adamantly against or uninterested, no amount of persusasion will work to get your organization more money in the budget.

Finally

Reluctantly, I am inclined to explore the topic of emerging technologies such as gene-editing not only in the field of agriculture (for gene-editing of plants, fish, and animals see my November 28, 2018 posting) but also with humans. At the very least, it needs to be discussed whether we choose to participate or not.

If you are interested in the arguments against changing Canada’s prohibition against gene-editing of humans, there’s an Ocotber 2, 2017 posting on Impact Ethics by Françoise Baylis, Professor and Canada Research Chair in Bioethics and Philosophy at Dalhousie University, and Alana Cattapan, Johnson Shoyama Graduate School of Public Policy at the University of Saskatchewan, which makes some compelling arguments. Of course, it was written before the CRISPR twins (my November 28, 2018 posting).

Recaliing CRISPR Therapeutics (mentioned by Gierczak), the company received permission to run clinical trials in the US in October 2018 after the FDA (US Food and Drug Administration) lifted an earlier ban on their trials according to an Oct. 10, 2018 article by Frank Vinhuan for exome,

The partners also noted that their therapy is making progress outside of the U.S. They announced that they have received regulatory clearance in “multiple countries” to begin tests of the experimental treatment in both sickle cell disease and beta thalassemia, …

It seems to me that the quotes around “multiple countries” are meant to suggest doubt of some kind. Generally speaking, company representatives make those kinds of generalizations when they’re trying to pump up their copy. E.g., 50% increase in attendance  but no whole numbers to tell you what that means. It could mean two people attended the first year and then brought a friend the next year or 100 people attended and the next year there were 150.

Despite attempts to declare personalized medicine as having arrived, I think everything is still in flux with no preordained outcome. The future has yet to be determined but it will be and I , for one, would like to have some say in the matter.

Call for abstracts: Seventh annual conference on governance of emerging technologies & science (GETS)

The conference itself will be held from May 22 – 24, 2019 at Arizona State University (ASU) and the deadline for abstracts is January 31, 2019. Here’s the news straight from the January 8, 2019 email announcement,

The Seventh Annual Conference on Governance of Emerging Technologies & Science (GETS)

May 22-24, 2019 / ASU / Sandra Day O’Connor College of Law
111 E. Taylor St., Phoenix, AZ
 
The conference will consist of plenary and session presentations and discussions on regulatory, governance, legal, policy, social and ethical aspects of emerging technologies, including nanotechnology, synthetic biology, gene editing, biotechnology, genomics, personalized medicine, digital health, human enhancement, artificial intelligence, virtual reality, internet of things (IoT), blockchain and much, much more!
 
Submit Your Abstract Here: 2019 Abstract
or
Conference Website
 
Call for abstracts:
 
The co-sponsors invite submission of abstracts for proposed presentations. Submitters of abstracts need not provide a written paper, although provision will be made for posting and possible post-conference publication of papers for those who are interested. 
Abstracts are invited for any aspect or topic relating to the governance of emerging technologies, including any of the technologies listed above.
 
·         Abstracts should not exceed 500 words and must contain your name and email address.
·         Abstracts must be submitted by January 31, 2019 to be considered. 
·         The sponsors will pay for the conference registration (including all conference meals and events) for one presenter for each accepted abstract. In addition, we will have limited funds available for travel subsidies (application included in submission form).
For more informationcontact our Executive Director Josh Abbott at Josh.Abbott@asu.edu.

Good luck on your submission!

I found it at the movies: a commentary on/review of “Films from the Future”

Kudos to anyone who recognized the reference to Pauline Kael (she changed film criticism forever) and her book “I Lost it at the Movies.” Of course, her book title was a bit of sexual innuendo, quite risqué for an important film critic in 1965 but appropriate for a period (the 1960s) associated with a sexual revolution. (There’s more about the 1960’s sexual revolution in the US along with mention of a prior sexual revolution in the 1920s in this Wikipedia entry.)

The title for this commentary is based on an anecdote from Dr. Andrew Maynard’s (director of the Arizona State University [ASU] Risk Innovation Lab) popular science and technology book, “Films from the Future: The Technology and Morality of Sci-Fi Movies.”

The ‘title-inspiring’ anecdote concerns Maynard’s first viewing of ‘2001: A Space Odyssey, when as a rather “bratty” 16-year-old who preferred to read science fiction, he discovered new ways of seeing and imaging the world. Maynard isn’t explicit about when he became a ‘techno nerd’ or how movies gave him an experience books couldn’t but presumably at 16 he was already gearing up for a career in the sciences. That ‘movie’ revelation received in front of a black and white television on January 1,1982 eventually led him to write, “Films from the Future.” (He has a PhD in physics which he is now applying to the field of risk innovation. For a more detailed description of Dr. Maynard and his work, there’s his ASU profile webpage and, of course, the introduction to his book.)

The book is quite timely. I don’t know how many people have noticed but science and scientific innovation is being covered more frequently in the media than it has been in many years. Science fairs and festivals are being founded on what seems to be a daily basis and you can now find science in art galleries. (Not to mention the movies and television where science topics are covered in comic book adaptations, in comedy, and in standard science fiction style.) Much of this activity is centered on what’s called ’emerging technologies’. These technologies are why people argue for what’s known as ‘blue sky’ or ‘basic’ or ‘fundamental’ science for without that science there would be no emerging technology.

Films from the Future

Isn’t reading the Table of Contents (ToC) the best way to approach a book? (From Films from the Future; Note: The formatting has been altered),

Table of Contents
Chapter One
In the Beginning 14
Beginnings 14
Welcome to the Future 16
The Power of Convergence 18
Socially Responsible Innovation 21
A Common Point of Focus 25
Spoiler Alert 26
Chapter Two
Jurassic Park: The Rise of Resurrection Biology 27
When Dinosaurs Ruled the World 27
De-Extinction 31
Could We, Should We? 36
The Butterfly Effect 39
Visions of Power 43
Chapter Three
Never Let Me Go: A Cautionary Tale of Human Cloning 46
Sins of Futures Past 46
Cloning 51
Genuinely Human? 56
Too Valuable to Fail? 62
Chapter Four
Minority Report: Predicting Criminal Intent 64
Criminal Intent 64
The “Science” of Predicting Bad Behavior 69
Criminal Brain Scans 74
Machine Learning-Based Precognition 77
Big Brother, Meet Big Data 79
Chapter Five
Limitless: Pharmaceutically-enhanced Intelligence 86
A Pill for Everything 86
The Seduction of Self-Enhancement 89
Nootropics 91
If You Could, Would You? 97
Privileged Technology 101
Our Obsession with Intelligence 105
Chapter Six
Elysium: Social Inequity in an Age of Technological
Extremes 110
The Poor Shall Inherit the Earth 110
Bioprinting Our Future Bodies 115
The Disposable Workforce 119
Living in an Automated Future 124
Chapter Seven
Ghost in the Shell: Being Human in an
Augmented Future 129
Through a Glass Darkly 129
Body Hacking 135
More than “Human”? 137
Plugged In, Hacked Out 142
Your Corporate Body 147
Chapter Eight
Ex Machina: AI and the Art of Manipulation 154
Plato’s Cave 154
The Lure of Permissionless Innovation 160
Technologies of Hubris 164
Superintelligence 169
Defining Artificial Intelligence 172
Artificial Manipulation 175
Chapter Nine
Transcendence: Welcome to the Singularity 180
Visions of the Future 180
Technological Convergence 184
Enter the Neo-Luddites 190
Techno-Terrorism 194
Exponential Extrapolation 200
Make-Believe in the Age of the Singularity 203
Chapter Ten
The Man in the White Suit: Living in a Material World 208
There’s Plenty of Room at the Bottom 208
Mastering the Material World 213
Myopically Benevolent Science 220
Never Underestimate the Status Quo 224
It’s Good to Talk 227
Chapter Eleven
Inferno: Immoral Logic in an Age of
Genetic Manipulation 231
Decoding Make-Believe 231
Weaponizing the Genome 234
Immoral Logic? 238
The Honest Broker 242
Dictating the Future 248
Chapter Twelve
The Day After Tomorrow: Riding the Wave of
Climate Change 251
Our Changing Climate 251
Fragile States 255
A Planetary “Microbiome” 258
The Rise of the Anthropocene 260
Building Resiliency 262
Geoengineering the Future 266
Chapter Thirteen
Contact: Living by More than Science Alone 272
An Awful Waste of Space 272
More than Science Alone 277
Occam’s Razor 280
What If We’re Not Alone? 283
Chapter Fourteen
Looking to the Future 288
Acknowledgments 293

The ToC gives the reader a pretty clue as to where the author is going with their book and Maynard explains how he chose his movies in his introductory chapter (from Films from the Future),

“There are some quite wonderful science fiction movies that didn’t make the cut because they didn’t fit the overarching narrative (Blade Runner and its sequel Blade Runner 2049, for instance, and the first of the Matrix trilogy). There are also movies that bombed with the critics, but were included because they ably fill a gap in the bigger story around emerging and converging technologies. Ultimately, the movies that made the cut were chosen because, together, they create an overarching narrative around emerging trends in biotechnologies, cybertechnologies, and materials-based technologies, and they illuminate a broader landscape around our evolving relationship with science and technology. And, to be honest, they are all movies that I get a kick out of watching.” (p. 17)

Jurassic Park (Chapter Two)

Dinosaurs do not interest me—they never have. Despite my profound indifference I did see the movie, Jurassic Park, when it was first released (someone talked me into going). And, I am still profoundly indifferent. Thankfully, Dr. Maynard finds meaning and a connection to current trends in biotechnology,

Jurassic Park is unabashedly a movie about dinosaurs. But it’s also a movie about greed, ambition, genetic engineering, and human folly—all rich pickings for thinking about the future, and what could possibly go wrong. (p. 28)

What really stands out with Jurassic Park, over twenty-five years later, is how it reveals a very human side of science and technology. This comes out in questions around when we should tinker with technology and when we should leave well enough alone. But there is also a narrative here that appears time and time again with the movies in this book, and that is how we get our heads around the sometimes oversized roles mega-entrepreneurs play in dictating how new tech is used, and possibly abused. These are all issues that are just as relevant now as they were in 1993, and are front and center of ensuring that the technologyenabled future we’re building is one where we want to live, and not one where we’re constantly fighting for our lives.  (pp. 30-1)

He also describes a connection to current trends in biotechnology,

De-Extinction

In a far corner of Siberia, two Russians—Sergey Zimov and his son Nikita—are attempting to recreate the Ice Age. More precisely, their vision is to reconstruct the landscape and ecosystem of northern Siberia in the Pleistocene, a period in Earth’s history that stretches from around two and a half million years ago to eleven thousand years ago. This was a time when the environment was much colder than now, with huge glaciers and ice sheets flowing over much of the Earth’s northern hemisphere. It was also a time when humans
coexisted with animals that are long extinct, including saber-tooth cats, giant ground sloths, and woolly mammoths.

The Zimovs’ ambitions are an extreme example of “Pleistocene rewilding,” a movement to reintroduce relatively recently extinct large animals, or their close modern-day equivalents, to regions where they were once common. In the case of the Zimovs, the
father-and-son team believe that, by reconstructing the Pleistocene ecosystem in the Siberian steppes and elsewhere, they can slow down the impacts of climate change on these regions. These areas are dominated by permafrost, ground that never thaws through
the year. Permafrost ecosystems have developed and survived over millennia, but a warming global climate (a theme we’ll come back to in chapter twelve and the movie The Day After Tomorrow) threatens to catastrophically disrupt them, and as this happens, the impacts
on biodiversity could be devastating. But what gets climate scientists even more worried is potentially massive releases of trapped methane as the permafrost disappears.

Methane is a powerful greenhouse gas—some eighty times more effective at exacerbating global warming than carbon dioxide— and large-scale releases from warming permafrost could trigger catastrophic changes in climate. As a result, finding ways to keep it in the ground is important. And here the Zimovs came up with a rather unusual idea: maintaining the stability of the environment by reintroducing long-extinct species that could help prevent its destruction, even in a warmer world. It’s a wild idea, but one that has some merit.8 As a proof of concept, though, the Zimovs needed somewhere to start. And so they set out to create a park for deextinct Siberian animals: Pleistocene Park.9

Pleistocene Park is by no stretch of the imagination a modern-day Jurassic Park. The dinosaurs in Hammond’s park date back to the Mesozoic period, from around 250 million years ago to sixty-five million years ago. By comparison, the Pleistocene is relatively modern history, ending a mere eleven and a half thousand years ago. And the vision behind Pleistocene Park is not thrills, spills, and profit, but the serious use of science and technology to stabilize an increasingly unstable environment. Yet there is one thread that ties them together, and that’s using genetic engineering to reintroduce extinct species. In this case, the species in question is warm-blooded and furry: the woolly mammoth.

The idea of de-extinction, or bringing back species from extinction (it’s even called “resurrection biology” in some circles), has been around for a while. It’s a controversial idea, and it raises a lot of tough ethical questions. But proponents of de-extinction argue
that we’re losing species and ecosystems at such a rate that we can’t afford not to explore technological interventions to help stem the flow.

Early approaches to bringing species back from the dead have involved selective breeding. The idea was simple—if you have modern ancestors of a recently extinct species, selectively breeding specimens that have a higher genetic similarity to their forebears can potentially help reconstruct their genome in living animals. This approach is being used in attempts to bring back the aurochs, an ancestor of modern cattle.10 But it’s slow, and it depends on
the fragmented genome of the extinct species still surviving in its modern-day equivalents.

An alternative to selective breeding is cloning. This involves finding a viable cell, or cell nucleus, in an extinct but well-preserved animal and growing a new living clone from it. It’s definitely a more appealing route for impatient resurrection biologists, but it does mean getting your hands on intact cells from long-dead animals and devising ways to “resurrect” these, which is no mean feat. Cloning has potential when it comes to recently extinct species whose cells have been well preserved—for instance, where the whole animal has become frozen in ice. But it’s still a slow and extremely limited option.

Which is where advances in genetic engineering come in.

The technological premise of Jurassic Park is that scientists can reconstruct the genome of long-dead animals from preserved DNA fragments. It’s a compelling idea, if you think of DNA as a massively long and complex instruction set that tells a group of biological molecules how to build an animal. In principle, if we could reconstruct the genome of an extinct species, we would have the basic instruction set—the biological software—to reconstruct
individual members of it.

The bad news is that DNA-reconstruction-based de-extinction is far more complex than this. First you need intact fragments of DNA, which is not easy, as DNA degrades easily (and is pretty much impossible to obtain, as far as we know, for dinosaurs). Then you
need to be able to stitch all of your fragments together, which is akin to completing a billion-piece jigsaw puzzle without knowing what the final picture looks like. This is a Herculean task, although with breakthroughs in data manipulation and machine learning,
scientists are getting better at it. But even when you have your reconstructed genome, you need the biological “wetware”—all the stuff that’s needed to create, incubate, and nurture a new living thing, like eggs, nutrients, a safe space to grow and mature, and so on. Within all this complexity, it turns out that getting your DNA sequence right is just the beginning of translating that genetic code into a living, breathing entity. But in some cases, it might be possible.

In 2013, Sergey Zimov was introduced to the geneticist George Church at a conference on de-extinction. Church is an accomplished scientist in the field of DNA analysis and reconstruction, and a thought leader in the field of synthetic biology (which we’ll come
back to in chapter nine). It was a match made in resurrection biology heaven. Zimov wanted to populate his Pleistocene Park with mammoths, and Church thought he could see a way of
achieving this.

What resulted was an ambitious project to de-extinct the woolly mammoth. Church and others who are working on this have faced plenty of hurdles. But the technology has been advancing so fast that, as of 2017, scientists were predicting they would be able to reproduce the woolly mammoth within the next two years.

One of those hurdles was the lack of solid DNA sequences to work from. Frustratingly, although there are many instances of well preserved woolly mammoths, their DNA rarely survives being frozen for tens of thousands of years. To overcome this, Church and others
have taken a different tack: Take a modern, living relative of the mammoth, and engineer into it traits that would allow it to live on the Siberian tundra, just like its woolly ancestors.

Church’s team’s starting point has been the Asian elephant. This is their source of base DNA for their “woolly mammoth 2.0”—their starting source code, if you like. So far, they’ve identified fifty plus gene sequences they think they can play with to give their modern-day woolly mammoth the traits it would need to thrive in Pleistocene Park, including a coat of hair, smaller ears, and a constitution adapted to cold.

The next hurdle they face is how to translate the code embedded in their new woolly mammoth genome into a living, breathing animal. The most obvious route would be to impregnate a female Asian elephant with a fertilized egg containing the new code. But Asian elephants are endangered, and no one’s likely to allow such cutting edge experimentation on the precious few that are still around, so scientists are working on an artificial womb for their reinvented woolly mammoth. They’re making progress with mice and hope to crack the motherless mammoth challenge relatively soon.

It’s perhaps a stretch to call this creative approach to recreating a species (or “reanimation” as Church refers to it) “de-extinction,” as what is being formed is a new species. … (pp. 31-4)

This selection illustrates what Maynard does so very well throughout the book where he uses each film as a launching pad for a clear, readable description of relevant bits of science so you understand why the premise was likely, unlikely, or pure fantasy while linking it to contemporary practices, efforts, and issues. In the context of Jurassic Park, Maynard goes on to raise some fascinating questions such as: Should we revive animals rendered extinct (due to obsolescence or inability to adapt to new conditions) when we could develop new animals?

General thoughts

‘Films for the Future’ offers readable (to non-scientific types) science, lively writing, and the occasional ‘memorish’ anecdote. As well, Dr. Maynard raises the curtain on aspects of the scientific enterprise that most of us do not get to see.  For example, the meeting  between Sergey Zimov and George Church and how it led to new ‘de-extinction’ work’. He also describes the problems that the scientists encountered and are encountering. This is in direct contrast to how scientific work is usually presented in the news media as one glorious breakthrough after the next.

Maynard does discuss the issues of social inequality and power and ownership. For example, who owns your transplant or data? Puzzlingly, he doesn’t touch on the current environment where scientists in the US and elsewhere are encouraged/pressured to start up companies commercializing their work.

Nor is there any mention of how universities are participating in this grand business experiment often called ‘innovation’. (My March 15, 2017 posting describes an outcome for the CRISPR [gene editing system] patent fight taking place between Harvard University’s & MIT’s [Massachusetts Institute of Technology] Broad Institute vs the University of California at Berkeley and my Sept. 11, 2018 posting about an art/science exhibit in Vancouver [Canada] provides an update for round 2 of the Broad Institute vs. UC Berkeley patent fight [scroll down about 65% of the way.) *To read about how my ‘cultural blindness’ shows up here scroll down to the single asterisk at the end.*

There’s a foray through machine-learning and big data as applied to predictive policing in Maynard’s ‘Minority Report’ chapter (my November 23, 2017 posting describes Vancouver’s predictive policing initiative [no psychics involved], the first such in Canada). There’s no mention of surveillance technology, which if I recall properly was part of the future environment, both by the state and by corporations. (Mia Armstrong’s November 15, 2018 article for Slate on Chinese surveillance being exported to Venezuela provides interesting insight.)

The gaps are interesting and various. This of course points to a problem all science writers have when attempting an overview of science. (Carl Zimmer’s latest, ‘She Has Her Mother’s Laugh: The Powers, Perversions, and Potential of Heredity’] a doorstopping 574 pages, also has some gaps despite his focus on heredity,)

Maynard has worked hard to give an comprehensive overview in a remarkably compact 279 pages while developing his theme about science and the human element. In other words, science is not monolithic; it’s created by human beings and subject to all the flaws and benefits that humanity’s efforts are always subject to—scientists are people too.

The readership for ‘Films from the Future’ spans from the mildly interested science reader to someone like me who’s been writing/blogging about these topics (more or less) for about 10 years. I learned a lot reading this book.

Next time, I’m hopeful there’ll be a next time, Maynard might want to describe the parameters he’s set for his book in more detail that is possible in his chapter headings. He could have mentioned that he’s not a cinéaste so his descriptions of the movies are very much focused on the story as conveyed through words. He doesn’t mention colour palates, camera angles, or, even, cultural lenses.

Take for example, his chapter on ‘Ghost in the Shell’. Focused on the Japanese animation film and not the live action Hollywood version he talks about human enhancement and cyborgs. The Japanese have a different take on robots, inanimate objects, and, I assume, cyborgs than is found in Canada or the US or Great Britain, for that matter (according to a colleague of mine, an Englishwoman who lived in Japan for ten or more years). There’s also the chapter on the Ealing comedy, The Man in The White Suit, an English film from the 1950’s. That too has a cultural (as well as, historical) flavour but since Maynard is from England, he may take that cultural flavour for granted. ‘Never let me go’ in Chapter Two was also a UK production, albeit far more recent than the Ealing comedy and it’s interesting to consider how a UK production about cloning might differ from a US or Chinese or … production on the topic. I am hearkening back to Maynard’s anecdote about movies giving him new ways of seeing and imagining the world.

There’s a corrective. A couple of sentences in Maynard’s introductory chapter cautioning that in depth exploration of ‘cultural lenses’ was not possible without expanding the book to an unreadable size followed by a sentence in each of the two chapters that there are cultural differences.

One area where I had a significant problem was with regard to being “programmed” and having  “instinctual” behaviour,

As a species, we are embarrassingly programmed to see “different” as “threatening,” and to take instinctive action against it. It’s a trait that’s exploited in many science fiction novels and movies, including those in this book. If we want to see the rise of increasingly augmented individuals, we need to be prepared for some social strife. (p. 136)

These concepts are much debated in the social sciences and there are arguments for and against ‘instincts regarding strangers and their possible differences’. I gather Dr. Maynard hies to the ‘instinct to defend/attack’ school of thought.

One final quandary, there was no sex and I was expecting it in the Ex Machina chapter, especially now that sexbots are about to take over the world (I exaggerate). Certainly, if you’re talking about “social strife,” then sexbots would seem to be fruitful line of inquiry, especially when there’s talk of how they could benefit families (my August 29, 2018 posting). Again, there could have been a sentence explaining why Maynard focused almost exclusively in this chapter on the discussions about artificial intelligence and superintelligence.

Taken in the context of the book, these are trifling issues and shouldn’t stop you from reading Films from the Future. What Maynard has accomplished here is impressive and I hope it’s just the beginning.

Final note

Bravo Andrew! (Note: We’ve been ‘internet acquaintances/friends since the first year I started blogging. When I’m referring to him in his professional capacity, he’s Dr. Maynard and when it’s not strictly in his professional capacity, it’s Andrew. For this commentary/review I wanted to emphasize his professional status.)

If you need to see a few more samples of Andrew’s writing, there’s a Nov. 15, 2018 essay on The Conversation, Sci-fi movies are the secret weapon that could help Silicon Valley grow up and a Nov. 21, 2018 article on slate.com, The True Cost of Stain-Resistant Pants; The 1951 British comedy The Man in the White Suit anticipated our fears about nanotechnology. Enjoy.

****Added at 1700 hours on Nov. 22, 2018: You can purchase Films from the Future here.

*Nov. 23, 2018: I should have been more specific and said ‘academic scientists’. In Canada, the great percentage of scientists are academic. It’s to the point where the OECD (Organization for Economic Cooperation and Development) has noted that amongst industrialized countries, Canada has very few industrial scientists in comparison to the others.