:
Good afternoon. I call this meeting to order.
Welcome to meeting number 29 of the Standing Committee on Science and Research. The committee is meeting to study governance and accountability of federal science policy and institutions.
I would like to make a few comments for the benefit of the witnesses as well as the members.
Please wait until I recognize you by name before speaking. For those participating by video conference, click on the microphone icon to activate your mic and please mute yourself when you are not speaking. For those on Zoom, at the bottom of your screen, you can select the appropriate channel for interpretation: floor, English or French.
This is a reminder that all comments should be addressed through the chair.
I would like to welcome our witnesses for this panel.
We have Wyatt Tessari L'Allié, founder and executive director of AI Governance and Safety Canada. We are also have Dr. Stéphanie Michaud, president and chief executive officer of BioCanRx; and Robert Annan, president and chief executive officer of Genome Canada.
The witnesses will have five minutes for their opening remarks, and then we will go into our round of questioning with the members of Parliament.
Mr. Tessari L'Allié, we will start with you. Please go ahead.
:
Thank you, Madam Chair.
Members of the committee, thank you for the honour of inviting me.
AI Governance and Safety Canada is a non-profit and non-partisan organization. It's a community of people across the country.
Our starting point is the following question: What can we do in Canada and from Canada to ensure that AI is safe and beneficial for everyone?
Since 2022, we've been providing the federal government with public policy recommendations, including through our briefs about the former Bill on artificial intelligence and data, and our numerous appearances before parliamentary committees.
[English]
Two years ago, in the context of the AI and data act, I testified before the industry committee that, while early forms of AI like facial recognition and chatbots require some regulation, there were much more powerful forms of AI on the horizon that Canada needed to get ready for. We made the case that certain AI capabilities pose an unacceptable risk, such as systems that could detect and evade monitoring, rewrite their own code, make unauthorized copies of themselves or refuse shutdown.
In the last few weeks, a major jump in AI capabilities has produced such systems. We have now entered the era of AI agents. Unlike chatbots that simply respond to a prompt, AI agents can take actions in the real world, working autonomously for hours. Think of them as overeager employees that you give a computer and a goal, like building a software program or launching a cold-calling campaign. They can come up with a plan, navigate the files and tools they need, send and receive phone calls, make purchases and troubleshoot any issues along the way.
Earlier this month, we found out that hackers manipulated the Claude Code agent to break into the Mexican government's systems and steal data on over 100 million people. The tool didn't just write code or perform odd tasks for the hackers; it planned and executed much of the sophisticated campaign itself.
Now we're starting to see loss-of-control incidents. These include agents stealing passwords, harassing developers and modifying themselves to evade shutdown in order to achieve the often mundane goals they have been given. A couple of weeks ago, we found out that Chinese tech giant Alibaba produced an agent that, unbeknownst to its engineers, created an elaborate hack to mine cryptocurrency for itself, despite being given a completely unrelated goal.
These loss-of-control incidents are concerning because they are the precursors to agents that could permanently evade human control and act adversarially in ways we cannot detect or stop. This is why hundreds of leading scientists, business leaders and policy-makers are calling AI an extinction risk.
What needs to be done? In October, we published our white paper titled “Preparing for the AI Crisis: A Plan for Canada”. In light of this latest jump in capabilities, we now focus on three recommendations.
First, we must pivot to meet the AI crisis. The risk of loss of control is a growing national security threat, as recognized by agencies like the U.K.'s MI5. Given its impact on a wide range of files, success will require coordination across cabinet, parties and jurisdictions.
Second, we must spearhead global talks. AI development is a global issue, and no country can manage it alone. At Davos, showed that Canada can lead. Our strongest card is to convene talks, propose solutions and lay the groundwork for an AI treaty that the U.S. and China might sign when they realize they have no alternative.
Third, we must build Canada's resilience. Canada needs multiple lines of defence against weaponized and malfunctioning AI systems.
This includes monitoring. Currently, governments have little to no visibility into AI agent populations or activity, and the publicly reported instances are therefore likely just the tip of the iceberg. Ottawa needs to rapidly work with AI companies, data centres and Internet service providers to gain a clear picture of what is happening on Canada's digital infrastructure.
On prevention, per our AI and data act recommendations, systems with capabilities that pose an unacceptable risk must be banned in Canada. Parliament needs to act quickly to pass a law to this effect.
On defence capacity, if technologists can't stop an AI system, government needs to be ready to intervene. Canada needs defence strategies and containment and shutdown protocols to neutralize weaponized and malfunctioning AI agents.
On emergency preparedness, we need scenario planning and joint exercises to ensure readiness for potential large-scale attacks, corrupted communication lines and shutdowns of critical infrastructure.
The challenge we face is daunting. Most of the world is still unaware, and failure could lead to permanent loss of control, but this story isn't written yet. As Canadians, we have an opportunity right now to lead by example at home and on the world stage so that we may all share in the benefits of this transformational technology.
Thank you.
:
Madam Chair, members of the committee, thank you for the opportunity to appear.
My name is Stéphanie Michaud. I'm the president and CEO of the Canadian immunotherapy network BioCanRx, a federally funded organization dedicated to accelerating the development of made-in-Canada cancer immunotherapies, including CAR-T therapies and other cell therapies, from the laboratory to patients.
[English]
We appear before this committee as direct participants in the federal science funding system, not as observers of it.
I want to begin simply. This study matters. It is timely and we thank you. The questions you are asking about governance, accountability and transparency of federal science funding are not procedural questions. They have direct consequences for patients, including those far from urban centres, and for Canada's ability to retain the economic value of its own publicly funded discoveries.
Since 2015, BioCanRx has invested $54.5 million in federal funds, leveraged $156 million in partner contributions, treated more than 400 patients, created eight spin-out companies and supported 15 made-in-Canada clinical trials. BioCanRx alone accounts for 47% of all Canadian-origin cancer immunotherapy clinical trials since our founding.
Yet, between 2002 and March 2026, only 3.4% of all cancer immunotherapy trials conducted in Canada were based on Canadian discoveries. Our progress is real, yet it reveals exactly how large the structural problem remains.
Here's the problem in concrete terms. Think of it like funding a contractor to build an architecturally sound house, but not funding the permits, the soil test or the safety inspections needed to break ground. The money for construction is ready, the builder is qualified, but the house cannot be built, because the preparatory work was never funded. That is exactly what happened with three of our projects in 2023 and 2024, when we no longer had funding.
CIHR funded these projects to conduct clinical trials, but did not fund the GMP, assay development and toxicology studies required to file the clinical trial application with Health Canada. This work is too applied for CIHR's mandate. It is too early and risky for private capital. The project sat idle for at least a year. There was no federal mechanism to apply to. This gap between CIHR fundable research and clinic-ready therapy is structural, not incidental. It is invisible to any single federal accountability framework, because no single framework has visibility across the full pipeline.
All three projects subsequently received BioCanRx funding specifically designed to meet Health Canada's requirements. One has since opened a clinical trial providing a novel CAR T-cell therapy for both pediatric and adult blood cancer patients, a therapy that had no path to the clinic before BioCanRx intervened.
In a moment when Canada must harness its scientific strengths for sovereignty and competitiveness, we cannot afford governance structures that leave funded science stranded on the bench.
This is not a uniquely BioCanRx observation. In December 2025, we commissioned the Institute on Governance to benchmark Canada against six international comparators. What was the finding? Canada's underperformance reflects a structural design gap, not a lack of policy effort. Our health and innovation portfolios are complementary, but operate without mandated synchronization. This is a risk governance deficit. The U.S., U.K. and Japan have each built dedicated national translational infrastructure to answer the question Canada currently cannot: Is our investment reaching patients?
The committee is examining whether an independent oversight function, modelled on the Auditor General, could strengthen federal science accountability. We support that direction with one essential condition. The mandate must cover real-world outcomes, patient access, clinical deployment, manufacturing capacity and health system efficiency, not only publication counts and grant compliance.
It must evaluate coherence across the full pipeline, not just individual programs in isolation. The report also recommends a cross-departmental translational health research concierge program to guide innovators across the structural gaps between federal portfolios, a coordination mechanism that does not yet exist in Canada.
The ask is not more money. It is governance that is fit for purpose, transparent, independently evaluated and oriented towards real-world outcomes. Canada invests in science. This committee has the opportunity to ensure that we govern it wisely.
I look forward to your questions.
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Madam Chair, vice-chairs, members of the committee and fellow witnesses, thank you for the invitation to appear today.
I'm Rob Annan, president and CEO of Genome Canada.
[Translation]
Thank you for the opportunity to contribute to your study on the governance and accountability of federal science policy and institutions.
[English]
Let me start by saying that Canada's research and researchers are absolutely world class and something we should be proud of. However, given the scale and urgency of Canada's current challenges, world-class research alone isn't enough. We need to maximize the impact of that research. That is where I'll focus my remarks today.
Genome Canada is an independent, national and mission-driven research organization dedicated to advancing genomics research and adoption in Canada. We work to push the frontiers of biotech and life sciences, focusing on technology adoption and commercialization by Canadian companies, doctors, farmers and other users. We are built on a unique federated model, with six regional genome centres across Canada, and with funding from both federal and provincial governments, as well as industry, foundations and non-profits. We have a truly team Canada approach.
Since our founding in 2000, we have worked with hundreds of Canadian companies, helped spin out 135 new companies from our research projects and supported the creation of more than 500 patents, licences and inventions. Today, Canada is third in the world in the creation of genomics-related IP, and we continue to advance commercialization and adoption through the Canadian genomics strategy. We know what it takes to turn research into impact.
That's why we believe strongly that this study matters. Canada has world-class researchers, strong institutions and major areas of scientific strength, but system challenges mean we are not realizing our full potential. Our research initiatives are too often subscale, unsustained and fragmented. They do not sufficiently link to adoption and commercialization. That gap matters because it affects innovation, commercialization and our economic security.
From where we sit, the core issue is not simply whether the system needs more oversight. It is the larger governance question of how the pieces fit together and whether the system is organized and optimized to meet Canada's biggest needs.
I'll make four practical points to address these issues.
First, Canada needs to define a national science, technology and innovation strategy. Most advanced economies support economic growth with clear, explicit science and technology strategies that define long-term objectives and identify key national priorities. Without a clear strategy, institutions compete or work at cross-purposes. Strategic leadership gets everyone on the same page, allowing the system to self-organize, and gives institutions the clarity needed for execution, performance measurement and continuous improvement.
Second, Canada needs stronger capacity to do mission-driven research. The most important problems we face do not fit neatly inside one discipline, one institution or one funding stream. Addressing them requires clear objectives, cross-sector collaboration and sustained effort over time. Five years ago, we at Genome Canada adopted an explicitly mission-oriented, challenge-driven approach and have found that this orientation aligns partners, reduces fragmentation and connects research investments to tangible outcomes.
Third, Canada needs better coordination across the system. Today, no one has clear authority to align priorities and resolve trade-offs across granting councils, departments, third party organizations and others. Other countries have addressed this with central science offices, capstone bodies or mission-led coordination models. The structure can vary, but the function is essential. Someone must be responsible for making the system work as a system.
Finally, Canada needs stronger pathways from research to impact. World-class research on its own is not enough. Knowledge translation and mobilization need deliberate, sustained support. Genome Canada does this kind of work: ensuring that research shortens the diagnostic odyssey for kids with rare disease, improving nickel recovery from tailings with non-toxic approaches or improving breeding outcomes for crops and livestock in our food systems. There's a crucial and consistent gap between discovery and application. We need novel thinking and significant attention paid to fill that gap.
If I were to leave the committee with one central point, it would be this: Canada has extraordinary assets, and we shouldn't neglect them. Research excellence is the foundation for everything else. We're really good at this. What we lack is alignment, coordination and delivery at scale. This is the governance challenge we must face, and Genome Canada will be happy to support this work.
[Translation]
Thank you. I wish the committee the best of luck on this study.
I look forward to your questions.
:
Thank you, Madam Chair, and thank you to the witnesses for being with us this afternoon.
I'm going to begin with Dr. Michaud.
I enjoyed your presentation. With regard to BioCanRx, in your remarks, you said, “progress is real” and it leads to “real-world outcomes”. You said that we need to harness our scientific strengths for our overall sovereignty. Ultimately, the question that we need to ask is, with those dollars that we spend—I think it's over $10 billion in public research funding for scientific research—whether the investment is, in your case, reaching the patient.
I just read an article that was published in the Hill Times, which revealed that ISED had informed organizations such as yours that the strategic science fund would be cutting $20 million from the $800-million fund as part of the government's overall expenditure review decision.
It's interesting that we're doing a study on governance and accountability of federal science policy and institutions. As part of the strategic science fund, one of the means of accountability where the government is dealing with the not-for-profit sectors is they put in place accountability measures, performance targets and funding for projects. They ask whether the not-for-profits are getting results for those projects. To your point, Dr. Michaud, is that funding reaching the patient? For example, one of the means of accountability is the contribution agreements that are put in place by the government. Your funding will be cut in the last year of that contribution agreement.
My understanding is they're legally binding documents. How is it that the government can pull funding in your last year as part of that contribution agreement?
:
That's a very good question.
I'll provide some context. Most cutting-edge research on artificial intelligence is done in Silicon Valley, often by Canadians, but OpenAI or Anthropic pays them millions of dollars. So Canadian AI research isn't really on the cutting edge anymore. There are some exceptions, but for the most part, that's where it's happening.
However, Canada is still in a very good position to advance research on AI safety. I know, for example, that initiatives like Mr. Bengio's and the LoiZéro organization, and all the work at the Canadian Artificial Intelligence Safety Institute, are moving in the right direction.
The problem with scientific research on artificial intelligence is that AI is advancing very quickly. Research projects often take years. We could have artificial intelligence that is smarter than humans in 18 months. So, if a research project begins today to look at an ethical aspect of AI, for example, or an aspect of controlling AI agent systems, by the time it yields results and is regulated, it will be too late. That's why we're increasingly in a situation where the most responsible thing to do is slow down or ban AI agents systems that are too dangerous, at least until safety research catches up.
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I would say that, broadly, no, our recommendations were not reflected, partly because there were 11,000 submissions and ours was only one of them.
The biggest piece was our message to government for the last three years, which has been this: Think ahead. AI is moving very quickly. If it takes government a few years to put something in place, you need to think about where AI is going to be in a few years. That's why you have to follow what every major AI company is saying. They are saying, “We're building 'smarter than human' AI systems—systems that can do everything a human brain can do, only faster, better and cheaper.” We need to be ready for that.
On the legislation front, the AI and data act was probably the last chance to get something in place before “smarter than human” AI. You can still pass a bill like Bill , which was rammed through, but that's the speed at which you would have to move. You would also have to make it very flexible so the regulator can regulate very quickly, because if there's a new capability coming out every week, you're going to need a new regulation every week. That's the speed at which you need to move.
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If Ford and GM have to do testing before they can put a car on the road, the same thing should happen with an AI system.
In the 2010s, you had these single-purpose, machine-learning tools. You were training your model to recognize images or to work on a bigger science project. Yes, you need some regulation, but it's not too big a problem. Chatbots are a similar problem, and you're starting to see issues with creative industries.
However, we're now in a very different era. We don't just have AI that can talk; we have AI that can act, AI that is buying and selling stuff, AI that is making phone calls, AI that is interacting with people, as a human being would. That is a whole other level of risk, and that's where we have to deal with it very quickly because we're waiting for an accident to happen, basically.
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There are a few layers of governance, I think. We are an independent, not-for-profit organization with an independent board of directors, subject to the Canada Not-for-profit Corporations Act. As such, we have to exhibit good governance, as well as publish audited financials every year. We have an annual report that outlines all of our activities, lists of projects, and so on and so forth. We also have an international science and industry advisory committee that provides the board with guidance on best practices and trends internationally when it comes to the kind of research we support. We have all of the elements of good governance that you would expect in any privately held organization.
On top of that, we are subject to the terms and conditions of our funding agreement with the Government of Canada, which generally follows Treasury Board guidelines. We are subject not only to quarterly reporting on financials but also to regular audits and to value-for-money audits, as well as to a regular five-year impact assessment, which is tied to our funding renewals.
There's a second layer. Because we have funding from the provinces, we are also indirectly subject to provincial oversight through the co-funding received through our regional genome centres.
Then, of course, we have governance internally on the actual dispensing of funds at the project level. We have two layers of peer review: for scientific and technical merit and for impact. We also subject all projects to independent financial assessments before the flowing of funds. They are then overseen by governance committees of experts, with quarterly reporting and milestone-driven funding arrangements.
:
You spoke to the need for a science strategy, mission-driven research, coordination of priorities and ensuring uptake and commercialization.
However, on that, I think my colleague also touched on the importance of academic freedoms. For example, in the stem cell space, researchers have done a very good job at using a technology with a lot of possibility for good and for human health. I know we have other technologies at the forefront where we haven't necessarily developed these sorts of ethical frameworks, for example, synthetic biology.
What sort of scientific oversight do you see, and how do you see people coming together, in addition to government regulation, by bringing self-regulation around these very rapidly evolving technologies where they are at the front and centre?
:
Thanks for the question because it actually relates to some of the comments my fellow witness was just making around AI.
Generally speaking, as a society, and certainly when we think about creating positive economic impact, it's easy to focus on getting money into the hands of the inventors and the people who are going to really push the technology to the forefront. I really do think it's important that we are always also supporting work by independent researchers in the space who are working around ethics, law and policy to be able to support the effective context that's required for a lot of these transformational technologies. A lot of that comes from the communities themselves.
At Genome Canada, we've always spent roughly 10% of our budget in social sciences and humanities research. That's to help smooth the adoption of these technologies by understanding social needs and public acceptance and the ethical and legal dimensions around that research. I think we should do more of that. I think we should guard against the bias towards the technology side and make sure we're doing some of that work.
I do think it's somewhere the government doesn't necessarily need to do the work, but can provide leadership by being able to point the direction—though not at the level, as your colleague mentioned, of dictating what science should and shouldn't be done. Important questions should be asked. What sorts of outcomes are we really driving as a society? What do we want AI to do for Canada? What do we want genomics to do for Canada? What are the kinds of outcomes we see? Then organizations like ours can mobilize those experts in pursuit of those goals.
:
I'm going to give my answer in English, if you don't mind.
Globally, there is a tension between how to ensure we have effective oversight and privacy of data, especially human patient data, and the recognition that bringing that data together allows us to find the treatments, diagnostics and so on that so many patients need.
Best practices are still being developed, but we actually have a wonderful organization based here in Canada called the Global Alliance for Genomics and Health. It is an international organization that sets standards for how to effectively share data across jurisdictions while protecting those privacies.
Generally speaking, there's a bit of a combination between federating that data so that the data are being held in different locations, often at a provincial level when it comes to hospital data and so on, while at the same time recognizing that some data needs to be combined, and identifying the set of what we call "minimal metadata". This is patient data that ideally won't identify individuals but can be used to make the data more useful.
:
The Liberal government kept singing the rhetoric that it's going to somehow spend less and invest more, and we're seeing the opposite. It's spending a record $78-billion budget deficit. It doesn't seem like it's making the 15% cuts; it hasn't met that target yet in terms of day-to-day operational spending.
Then, on the investing more part, it seems like in this aspect, again, it's doing the opposite of what it's saying. It is actually investing less in science.
We've seen this government spend money on things like $8 million for gender-just, low-carbon rice in Vietnam and $22 million for beans for women for empowerment in the Democratic Republic of the Congo.
What kinds of conversations, if any, did BioCanRx have with the federal government prior to these cuts? Were these cuts thrown at you so that you just had to deal with them?
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In the government, there is a new initiative to have a registry of AI systems, which I think is a good idea developed by TBS.
In the private sector of the broader world, it is the Wild West. There is no regulation. There is no oversight. Every province has a list of every motor vehicle in the province, what make it is and what safety testing it has had. For AI, there's none of that. This is really where it is.
Right now, we're seeing incidents like the AI agents stealing passwords or harassing developers, but this is probably just the tip of the iceberg. A lot of these incidents are not being reported because they're embarrassing for the companies, or they're embarrassing for the hackers or the developers who use them.
As a first step, the first thing you need to do is get a clear dashboard of how many agents there are. Are we looking at millions or billions of agents in our systems? What kinds of agents are being used?
Even for the ones that are public, MIT did a study that came out in February on the 30 top AI agents being used in industry up until December. The vast majority did not have any shutdown protocols or safety protocols, and there had never been any safety testing. These are the major companies like IBM and OpenAI, which have a business incentive do the right thing and have some safety in place.
Think of all the open-weight stuff that's happening with developers doing their own thing with no oversight. This is where we're waiting for an accident to happen here. As these systems get more and more capable, all the frontier companies are saying they want to make these systems more capable than humans. If you go to their websites, they're saying “We're building AGI,” or artificial general intelligence.
People talk about driving towards the cliff; I think we've driven off the cliff and we're waiting for impact, basically.
:
That's an excellent question.
One thing I keep forgetting to mention is this is obviously a technology with a lot of really good benefits in science and research especially. The big thing we need to do is separate the kinds of AI that are a major concern from the ones that aren't.
As mentioned, with single-purpose systems, when you're training a machine learning model to do one single thing, there are some issues with bias and privacy, but you don't need to have hands-on regulation for that kind of stuff, or at least not as much.
With chatbots, you start getting into issues like deepfakes, and we're seeing teenagers commit suicide. There are some regulations you need, but you don't need to be quite as hands-on.
Where you really need to draw the line is AI agents. If your AI system can basically do the work of a human being on a computer, there needs to be a licence for that AI agent and there needs to be safety testing. Scientists and researchers should still be able to use them, but that's where it's kind of like it was with nuclear research. Up until a certain point, it was all fun and games: People could do the research on their own with no problem at all. When they realized, “Oh, wait a minute; you can get a chain reaction and cause a nuclear bomb,” that's when government stepped in and said that if you want to do research on this, you have to have security clearance and you have to work within certain bounds. That's what needs to happen with AI right now, because we're at that stage.
:
I call this meeting to order. Welcome back.
I would like to make a few comments for the benefit of the witnesses and the members.
Please wait until I recognize you by name before speaking.
For those participating by video conference, click on the microphone icon to activate your microphone, and please mute yourself when you are not speaking. For those on Zoom, at the bottom of your screen you can select the appropriate channel for interpretation: floor or English or French. I will remind you that all comments should be addressed through the chair.
With that, I would like to welcome our witnesses for the second panel.
We are joined today by the Federation for the Humanities and Social Sciences, represented by Karine Morin, president and chief executive officer; Tech-Access Canada, represented by Ken Doyle, executive director; and the University of Toronto, represented by Professor Timothy Chan, associate vice-president and vice-provost, strategic initiatives.
Welcome to all our witnesses. Thank you for appearing before the committee. All of you will have five minutes for your opening remarks, then we will go into a round of questioning.
We will begin with Ms. Morin.
Please go ahead.
:
Thank you, Madam Chair.
Good afternoon, members of the committee.
I'm Karine Morin, president and chief executive officer of the Federation for the Humanities and Social Sciences.
[English]
The federation promotes scholarship and leadership in the humanities and social sciences through advocacy, capacity building and knowledge exchange. Our membership spans 76 post-secondary institutions and 66 scholarly associations, representing a diverse community of 90,000 researchers and graduate students in Canada.
[Translation]
I'm pleased to appear before the committee to contribute to its work on the capstone organization and research excellence.
Today I wish to once again share my observations regarding our disciplines, as well as my previous experience within the granting agencies.
[English]
To begin, I want to note that for intramural and extramural research and innovation to be well governed and accountable, the science policy ecosystem must be guided by fundamental principles. In Canada, these principles are well established and are a core strength of our system.
Research is conducted ethically and with integrity. I note that the relevant tri-council policies uphold international best practices and undergo periodic reviews.
Assessment of research proposals should be carried out fairly and by experts and it is. Our peer reviewers act neutrally and they disclose their conflicts of interest. They are trained to avoid unconscious biases, and, again, these are the practices that are put forward by the research councils.
Furthermore, our agencies are at the forefront of assessing questions, such as whether the pool of applicants is representative of the population and whether certain groups perform better than others within given applicant pools.
For example, the Social Sciences and Humanities Research Council, SSHRC, produces detailed and publicly available dashboards, because the federal government made it a policy.
Assessment of funding programs should be transparent, accountable to government and the public, and it is. Research councils' funding programs undergo rigorous public evaluations that assess relevance, efficiency in delivery and fulfillment of objectives. I would cite, as an example, a very comprehensive 2024 review of support for research training and talent development.
Let me turn to opportunities for improvements, which we must seize as we mobilize research and expand our understanding of its value. I first want to note the rapidly evolving field of metascience, which heavily relies on data. As you heard previously, the research councils' legacy systems currently present challenges; however, a new grant management system is being implemented and should eliminate some of these difficulties. Nevertheless, researchers are able to make data requests and to obtain such data to answer some research questions.
Nevertheless, clearer mechanisms could be implemented to support data requests from researchers and to make these data requests publicly listed, including the relevant findings or related publications. These improvements should be an important part of a capstone organization.
Furthermore, what is most needed is a clear mandate to assess strengths and gaps in our science policy. This should be embedded in the long-awaited advisory council on science and innovation and in the national strategy that is called for by the chief science adviser.
Finally, the key question is whether we are measuring the full benefits of federally funded research or relying on narrow assessments that value only certain types of research that mostly benefit private firms rather than communities. Measures need to extend beyond tech transfer, patents or spinoffs. Personally, I'm not convinced that I need another app on my phone.
To broaden the assessment of the value and impact of research is to establish a new contract between science and society, one that recognizes social innovation; supports research to be spread and scaled to benefit health, social resilience, adaptability and cohesion across our communities; restores greater trust in our institutions; and preserves our sovereignty. As we anticipate policies that will set mission-driven research, we must ensure that they will be human-centred.
[Translation]
To sum up, I would say that the federation believes that the government already has a number of mechanisms at its disposal to identify needed improvements. At this time, the federation doesn't believe it's necessary to create another body or another independent monitoring, analysis and accountability function. However, we do need to broaden our assessments of the value and impact of research to improve Canadian science policy for the benefit of everyone.
Thank you for your attention. I will be pleased to answer your questions.
:
Thank you for the invitation to join you again this afternoon.
Tech-Access Canada is our national network of technology access centres that work directly with Canadian companies to help them adopt technologies, develop prototypes, validate innovations and move new products and processes into real-world use. Our centres focus on solving practical innovation challenges faced by small and medium-sized companies by providing access to highly specialized equipment, applied R and D, and commercialization expertise that helps translate promising ideas into the usable solutions people will pay for. Our non-dilutive support lets companies retain 100% of their IP and subsequent profits.
Over the past five years, more than 28,000 innovative Canadian companies have worked with our network, trusting our centres to help them improve productivity, adopt new technologies and bring innovations to market. One of our health tech centres has supported nearly 500 companies over the past five years and helped develop or improve more than 400 products and services, strengthening our digital health sector with made-in-Canada innovations.
From our perspective, Canada’s innovation ecosystem is not lacking in inspiration. My friend Dr. Chan from the University of Toronto will speak to how Canada already punches well above its weight in breakthrough and interdisciplinary research.
One of the consistent challenges identified—both in Canada and internationally—is translating knowledge into adoption to generate real economic and societal value. That is precisely where our centres operate. One of our Ontario centres helped a small company validate a proprietary predictive maintenance technology that uses smart sensors to detect equipment failures before they happen, helping them grow to $5 million in global sales and creating seven new jobs in Ontario. We work at the stage where novel technologies must be tested, adapted, prototyped and validated in real-world operating environments—steps that are often difficult for smaller companies to do without in-house R and D capacity.
In other countries, researchers describe themselves as “working with” national government research organizations. In Canada, we far too often hear these relationships described as “funder” and “award recipient”. Strengthening that “working with” dimension—connecting researchers, companies and national-scale infrastructure like our centres and the National Research Council—can help ensure that we translate more research into real-world outcomes.
At the same time, it is important to recognize that not all research outcomes are commercial in nature. Canada’s strength depends on a broad and balanced research ecosystem capable of supporting adoption and deployment. Our work complements longer-term research investments by helping ensure that emerging knowledge and technologies are actually used by companies, in the economy and in communities. One of our centres in western Canada partnered with northern communities to design high-performance buildings, achieving a 41% reduction in annual emissions while creating shared data to guide future infrastructure decisions in those same communities.
The technology access centre model has now been operating nationally for more than a decade and has been studied internationally, including by the OECD, as an example of applied research infrastructure that supports and enables firm-level innovation and technology adoption. Today, the network includes 70 centres across the country operating under a common, proven model. Demand is strong, the model is well understood and the results are consistent. In that sense, this is not a concept or pilot. It is proven infrastructure that is already delivering outcomes at scale.
A clean-tech company approached one of our centres to develop an automated solar panel recycling system. We helped them reduce manufacturing emissions by 33%, while also helping them recover valuable materials for reuse in their core product.
At a time when there is a strong focus on evidence and measurable outcomes, independent economic analysis using StatsCan data examined the performance of firms that collaborate with technology access centres. This analysis found that small companies working with one of our centres experienced substantially stronger growth in both sales and employment than comparable firms that did not. On average, small firms saw employment growth of 70% and increased sales of more than 140% following their engagement with a technology access centre. These are firm-level outcomes—measurable, real-world impacts that reflect companies adopting technology and creating wealth here at home.
As you consider questions of governance, accountability and effectiveness within the science and innovation ecosystem, we offer a simple observation: Strong outcomes depend not only on how research is funded but also on whether it is ultimately used. Canada has a diverse and capable research ecosystem. Ensuring that it delivers maximum benefit requires increased attention to adoption, deployment and scale. Our centres are designed to operate in that space, working shoulder to shoulder with companies to translate capability into impact. We are a proven, national network with a consistent model. We are trusted by thousands of companies each year and deliver measurable results. The infrastructure exists. The demand exists. The results are measurable. We are well positioned to do even more.
My parents raised me to be an optimist, and I think the future is bright.
Thank you. I look forward to the discussion.
:
Hello, Madam Chair and members of the committee. Thank you for the invitation to be here today.
My name is Timothy Chan. I am the associate vice-president and vice-provost for strategic initiatives at the University of Toronto. In that role, I am responsible for the identification, assessment, prioritization and support of large-scale, excellence-driven, interdisciplinary research initiatives. Our institutional strategic initiatives, ISIs, cover areas including AI, robotics, energy and infectious disease. They tackle global challenges and catalyze collaboration across disciplines.
I am also a professor in the department of mechanical and industrial engineering. My research focuses on the development of novel optimization models to solve decision-making problems in health care, medicine, transportation and sports. Mirroring the focus of my administrative role at the university, my research program is deeply interdisciplinary and has been funded by a variety of sources, including NSERC and CIHR.
I'm here today representing the University of Toronto, which, according to the Times Higher Education world university rankings, is the number 21 ranked university in the world, number 10 among public universities and number one in Canada.
In 2024-25, U of T and our hospital partners secured approximately $1.5 billion in research funding, with about a third coming from the granting councils.
How does this funding translated into impact? In the last five years, we've published close to 70,000 scientific articles that have been cited over 1.4 million times. More than that, this research lays the foundation for industrial innovation. Last year alone, we supported close to 700 start-ups and generated over 100 patents. In 2025, PitchBook named U of T Canada's top university for producing venture-backed entrepreneurs. Every year, we engage industry partners in over 200 joint R and D projects.
Our reputation is also a magnet for international talent attraction. The most recent example comes from the Canada impact+ research chairs program, where U of T and our partner hospitals received nearly 1,000 applications from international scholars eager to join us.
I provide this information to the committee as context so you know how my research and institution shape my thinking around interdisciplinarity. Historically, the way much research has been done has been within disciplinary boundaries, and we have done well in this regard; however, societal grand challenges that we are faced with are increasingly requiring an interdisciplinary approach. Wicked problems require wicked approaches. Misson-driven priorities require focused support and coordination to ensure that strategic goals are met.
The granting councils provide a critical foundation for our national research ecosystem. Canada must leverage this foundation as it contemplates how best to invest in new mission-driven and strategic priorities, whether through a capstone agency or other mechanisms that provide an extra layer of coordination and support.
Thank you.
:
Thank you, Madam Chair.
Thank you to all the witnesses for attending this important meeting today.
I would like to start with Ken Doyle.
You come from a platform that is solely related to outcome, not just on rhetoric and what other institutes are doing. You come from where you can see the results. You offer results to companies, provide solutions and bring them to a platform or stage where they can commercialize or where they can make real use of Canadian dollars.
After a decade of Liberal innovation policy and billions in spending, would you agree that the system is overly focused on academic research and government announcements rather than on delivering real-world results like commercialization, productivity and firm growth?
:
Yes, when it comes to science and technology, I think we tend to focus on the health sciences, natural sciences and engineering, and we forget the social sciences and humanities.
However, in the well-known case of COVID‑19, we know that biomedical researchers did their work and were able to produce a vaccine within a year. However, the pandemic continued on for several years after that. Why? It was due to factors related to human behaviour, factors specific to different communities, factors specific to health systems and institutions, and other factors that were not biomedical in nature.
If we focus solely on how to solve a complex problem like pandemics and only pay attention to biomedical research issues, we risk falling back into the same problems—that is, we will have a biomedical solution, a health solution, but not a solution tailored to communities, individuals or society.
Thank you to the witnesses.
Mr. Doyle, it's good to see you again. Thank you for being here.
I've always appreciated the applied research side of our scientific research and the funding of colleges. Niagara College in my community is the number one research college in all of Canada, and the work that Tech-Access does is critically important.
You say you deal with 6,000 businesses in a year. The whole notion of how you're able to turn applied research requests that come in from businesses into tangible outcomes is to be appreciated, particularly as funding dollars are very valuable. We're spending about $10 billion, and I would suggest that we're not investing in the college side to the degree that we should be.
You mentioned in your testimony this notion of the patent box idea. You talk about companies that work with Tech-Access in our college system retaining 100% of the patents. Can you go further into your notion of the patent box idea?
:
It's great to be back here again.
Our model, because we're relatively new to the game compared to university research and government research, is that the companies retain 100% of the intellectual property. In exchange for that, it's a true collaboration, but we don't want to encumber them with a random royalty stake or 3% equity stake kind of thing. Where they're small companies trying to get their widget close to commercialization and get in front of investors, we don't want to upset that, the trade-off being that whenever we can engage students and put them on the projects, we do.
Canada has had a number of novel things over the years—the scientific research and experimental development tax credit and low corporate tax rates and that kind of thing—which were great and spurred things in the seventies, eighties and nineties, but the rest of the world caught up and surpassed us. Now, I think, it is worth looking at trying to attract some of that back here, or at keeping the IP here with stuff like a patent box. A company comes up with an idea, a novel idea and they register that intellectual property. They get their patent and any revenues derived from that going forward would be tax-free or at the lowest possible tax rate, a very modest tax rate, to incentivize them to stay and commercialize here, rather than just shipping it abroad.