Innovative Research Universities (IRU) has asked the federal government to invest in four key areas in the next budget, due March 25.
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AI research tools such as OpenAI o1 have now reached test score levels that meet or exceed the scores of those who hold Ph.D. degrees in the sciences and a number of other fields. These generative AI tools utilize large language models that include research and knowledge across many disciplines. Increasingly, they are used for research project ideation and literature searches. The tools are generating interesting insights to researchers that they may not have been exposed to in years gone by.
The field of academe has long emphasized the single-discipline research study. We offer degrees in single disciplines; faculty members are granted appointments most often in only one department, school or college; and for the most part, our peer-reviewed academic journals are in only one discipline, although sometimes they welcome papers from closely associated or allied fields. Dissertations are most commonly based in a single discipline. Although research grants are more often multidisciplinary and prioritize practical solution-finding, a large number remain focused on one field of study.
The problem is that as we advance our knowledge and application expertise in one field, we can become unaware of important developments in other fields that directly or indirectly impact the study in our chosen discipline. Innovation is not always a single-purpose, straight-line advance. More often today, innovation comes from the integration of knowledge of disparate fields such as sociology, engineering, ecology and environmental developments, and expanding understanding of quantum physics and quantum computing. Until recently, we have not had an efficient way to identify and integrate knowledge and perspectives from fields that, at first glance, seem unrelated.
AI futurist and innovator Thomas Conway of Algonquin College of Applied Arts and Technology addresses this topic in “Harnessing the Power of Many: A Multi-LLM Approach to Multidisciplinary Integration”:
“Amidst the urgency of increasingly complex global challenges, the need for integrative approaches that transcend traditional disciplinary boundaries has never been more critical. Climate change, global health crises, sustainable development, and other pressing issues demand solutions from diverse knowledge and expertise. However, effectively combining insights from multiple disciplines has long been a significant hurdle in academia and research.
“The Multi-LLM Iterative Prompting Methodology (MIPM) emerges as a transformative solution to this challenge. MIPM offers a structured yet flexible framework for promoting and enhancing multidisciplinary research, peer review, and education. At its core, MIPM addresses the fundamental issue of effectively combining diverse disciplinary perspectives to lead to genuine synthesis and innovation. Its transformative potential is a beacon of hope in the face of complex global challenges.”
Even as we integrate AI research tools and techniques, we, ourselves, and our society at large are changing. Many of the common frontier language models powering research tools are multidisciplinary by nature, although some are designed with strengths in specific fields. Their responses to our prompts are multidisciplinary. The response to our iterative follow-up prompts can take us to fields and areas of expertise of which we were not previously aware. The replies are not coming solely from a single discipline expert, book or other resource. They are coming from a massive language model that spans disciplines, languages, cultures and millennia.
As we integrate these tools, we too will naturally become aware of new and emerging perspectives, research and developments generated by fields that are outside our day-to-day knowledge, training and expertise. This will expand our perspectives beyond the fields of our formal study. As the quality of our AI-based research tools expands, their impact on research cannot be overstated. It will lead us in new directions and broader perspectives, uncovering the potential for new knowledge, informed by multiple disciplines. One recent example is Storm, a brainstorming tool developed by the team at Stanford’s Open Virtual Assistant Lab (OVAL):
“The core technologies of the STORM&Co-STORM system include support from Bing Search and GPT-4o mini. The STORM component iteratively generates outlines, paragraphs, and articles through multi-angle Q&A between ‘LLM experts’ and ‘LLM hosts.’ Meanwhile, Co-STORM generates interactive dynamic mind maps through dialogues among multiple agents, ensuring that no information needs overlooked by the user. Users only need to input an English topic keyword, and the system can generate a high-quality long text that integrates multi-source information, similar to a Wikipedia article. When experiencing the STORM system, users can freely choose between STORM and Co-STORM modes. Given a topic, STORM can produce a structured high-quality long text within 3 minutes. Additionally, users can click ‘See BrainSTORMing Process’ to view the brainstorming process of different LLM roles. In the ‘Discover’ section, users can refer to articles and chat examples generated by other scholars, and personal articles and chat records can also be found in the sidebar ‘My Library.’”
More about Storm is available at https://storm.genie.stanford.edu/.
One of the concerns raised by skeptics at this point in the development of these research tools is the security of prompts and results. Few are aware of the opportunities for air-gapped or closed systems and even the ChatGPT temporary chats. In the case of OpenAI, you can start a temporary chat by tapping the version of ChatGPT you’re using at the top of the GPT app, and selecting temporary chat. I do this commonly in using Ray’s eduAI Advisor. OpenAI says that in the temporary chat mode results “won’t appear in history, use or create memories, or be used to train our models. For safety purposes, we may keep a copy for up to 30 days.” We can anticipate these kinds of protections will be offered by other providers. This may provide adequate security for many applications.
Further security can be provided by installing a stand-alone instance of the LLM database and software in an air-gapped computer that maintains data completely disconnected from the internet or any other network, ensuring an unparalleled level of protection. Small language models and medium-size models are providing impressive results, approaching and in some cases exceeding frontier model performance while storing all data locally, off-line. For example, last year Microsoft introduced a line of SLM and medium models:
“Microsoft’s experience shipping copilots and enabling customers to transform their businesses with generative AI using Azure AI has highlighted the growing need for different-size models across the quality-cost curve for different tasks. Small language models, like Phi-3, are especially great for:
In the near term we will find turnkey private search applications that will offer even more impressive results. Work continues on rapidly increasing multidisciplinary responses to research on an ever-increasing number of pressing research topics.
The ever-evolving AI research tools are now providing us with responses from multiple disciplines. These results will lead us to engage in more multidisciplinary studies that will become a catalyst for change across academia. Will you begin to consider cross-discipline research studies and engage your colleagues from other fields to join you in research projects?

COSTA MESA, Calif. — BenQ, an internationally renowned provider of visual display and collaboration solutions, today announced that Marian High School in Omaha, Nebraska, selected and installed two BenQ LK936ST 4K HDR short-throw golf simulator projectors for its golf sim Golf Training Lab at the Marian Athletic Center. In 2024, the Marian girls’ golf team became the undefeated Nebraska State Champions in Class A golf. Designed to help analyze and improve the golfers’ swings and give them the ability to practice in all weather conditions, the Marian Golf Training Lab provides the girls’ high school and junior teams with an immersive and realistic golf course environment. Based on research and recommendations from golf simulation experts, Marian High School chose the BenQ LK936ST for its exceptional color accuracy, powerful brightness, and maintenance-free operation.
Head Coach Robert Davis led the effort to build the Golf Training Lab, which includes two golf simulator bays featuring Carl’s Place 16×10 impact screens and ProTee VX launch monitors. Seeking a high-performance projector that could deliver realistic course visuals, bright images in a well-lit environment, and long-term, maintenance-free operation, Davis consulted with golf simulator manufacturers and reviewers. After thorough research, BenQ’s LK936ST emerged as the top choice.
“Our athletes benefit from an experience that’s as close as you can get to being on an actual course,” said Davis. “When we pull up courses, you can see distinct leaves on the trees. That level of realism not only makes training more effective but also more enjoyable.”
The BenQ LK936ST’s 4K UHD resolution, combined with BenQ’s exclusive Golf Mode, ensures a highly detailed, true-to-life golfing experience. Its 5,100 lumens of brightness allow it to perform exceptionally well in the Marian Athletic Center’s brightly lit environment, ensuring clear visuals even without dimming the lights. Additionally, its short-throw lens and advanced installation tools — such as digital shrink, lens shift, and keystone correction — allow for a flexible and seamless setup within the limited space of the simulator bays.
“The golf simulation market has grown rapidly as more schools, athletes, and enthusiasts seek ways to improve their game year-round,” said Bob Wudeck, senior director of business development at BenQ America Corp. “With the LK936ST, we’ve provided everything a golf simulator needs to deliver a truly immersive experience. Its 4K resolution, high brightness, and laser-powered color accuracy ensure that golfers can see every detail with precision, whether it’s the grain of the greens or the clear blue sky. By combining these features, we’ve created a projector that meets the high standards required for today’s golf training environments.”
The BenQ LK936ST is engineered to provide a truly immersive and precise golf simulation experience, making it an ideal choice for Marian High School’s Golf Training Lab. With a 4K UHD resolution powered by Texas Instruments’ DLP chip technology, it delivers razor-sharp visuals and a stunning 3,000,000:1 contrast ratio, which allows for enhanced graphics and a lifelike recreation of the world’s top golf courses. Its exclusive Golf Mode, designed specifically for golf simulation, reproduces the vivid greens and brilliant blues of fairways and skies, offering 92% of the Rec. 709 color gamut for true-to-life color accuracy. This unprecedented visual fidelity helps golfers maintain their focus and engagement, simulating real-world conditions to perfect their game.
In addition to its color and image quality, the LK936ST is designed to excel in challenging environments. The projector’s short-throw lens (0.81-0.89) and 1.1x zoom capacity make it easy to install outside of the swing zone, projecting a large image without casting shadows on the screen. Digital shrink, offset, lens shift, keystone correction, and corner fit provide advanced installation flexibility, enabling perfect alignment with the screen, even in tight or unconventional spaces like garages, basements, or smaller training rooms.
Built for long-lasting, maintenance-free operation, the LK936ST features a sealed IP5X-rated dustproof optical engine, eliminating the need for filter changes and ensuring optimal performance even in dusty environments. Its laser light source guarantees 20,000 hours of use with consistent color and brightness, far outlasting traditional lamp-based projectors. The projector also offers instant power-up without the need for warm-up or cool-down times, allowing golfers to jump straight into their training. With multiple HDMI inputs and networking options, it integrates easily with other entertainment or training components, making it a versatile centerpiece for not only golf simulations but also home theater and gaming setups.
More information on the BenQ LK936ST 4K HDR short-throw golf simulator projector is available at bit.ly/3na585n.
About BenQ America — Business & Education Solutions
The No. 1 selling global projector brand powered by TI DLP technology, according to Futuresource, the BenQ digital lifestyle brand stands for “Bringing Enjoyment and Quality to Life,” fusing ease of use with productivity and aesthetics with purpose-built engineering. BenQ is a world-leading human technology and professional solutions provider serving the enterprise, education, and entertainment markets. To realize this vision, the company focuses on the aspects that matter most to users, redefining traditional technology with innovative capabilities that increase efficiency, enhance learning, and amplify entertainment — all while ensuring a healthy, safe, and intuitive user experience. BenQ’s broad portfolio of professional installation solutions includes digital, laser, and interactive projectors; premium flat panels; and interactive large-format displays that take visual enjoyment to new heights in corporate offices, classrooms and lecture halls, and home theaters. The company’s products are available across North America through leading value-added distributors, resellers, and retailers. Because it matters. More information is available at www.BenQ.com.
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Image Caption: Marian High School Chooses BenQ’s LK936ST Golf Simulator Projector for New Golf Training Lab
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There is a feeling among some policymakers that the UK research system lacks agility. But the key question is agility for who: for researchers, for research institutions, or for the government which funds the research?
By definition, research explores the unknown. These unknowns range from the unknown solutions to today’s challenges such as affordable healthcare and reversing climate change, to initiating the yet unknown technologies of tomorrow that will feed future economic growth.
The UK government’s Plan for change: milestones for mission-led government repeatedly mentions the UK’s outstanding research base. It is also clear that government has high expectations of how our research system can demonstrate agility to pivot towards addressing major societal needs. But addressing any of these missions requires time, and hence a disciplined balance of agility and commitment to a long-term research agenda.
At a more operational level, for our national funders such as UKRI, legitimate concerns over the precarity of research careers, and the recognition that hard problems take time to solve, means that a large fraction of their annual budget is committed for three or more years into the future.
The extent of these multi-year commitments seemingly restricts the agility of the research system. However, looking more closely, embedded within these commitments are the commitments made to individual researchers to support them and their teams to pursue thematic programmes while empowering their own agility to rapidly pivot their research in response to new ideas of their own or the discoveries of others. It is precisely these longer-term funding commitments typified by support for research fellowships or the quality-related funding driven by REF that allows the UK’s researchers themselves to be agile.
It is widely accepted the UK’s research system is highly productive in basic curiosity-driven research. This productivity, we would argue, is a direct result of the researcher-led agility that our current funding system allows. However, we also recognise that government can and should identify areas of research in support of our industrial or other national needs – some on shorter time horizons.
The key is the balance between this academically-led and government directed agility – we can and do need to do both. Reaching this balance requires greater transparency from the funding agencies and an intellectually safe discussion between government and the research sector. We urge UKRI and DSIT to articulate this balance, around which we can all then work.
Related to these questions of agility are current problems in the funding system which if left unchecked will undermine our research productivity. The costs of research have far outstripped inflation and available research funding has not kept pace – for example, the fall in the number of doctoral training centres funded by EPSRC from 2014 to 2019 and to 2024.
These financial pressures have driven hyper competition in the sector. Success rates have plummeted, with many researchers’ experience being of ten per cent success rates or less – particularly in the schemes supporting academically-led, curiosity-driven research.
Perhaps even worse are the lengthening times taken to receive a funding decision; a decision on a three-year long application often takes more than one year to receive – hardly a route to agility of any kind.
Irrespective of these budget-constrained success rates, we urge our national funders to reduce significantly the time it takes to reach their decisions on whether to fund or not. Suggestions have been made to move to lottery funding, thereby reducing decision times and eliminating potential biases within an ultra-low success rate environment. But a lottery would not solve the issue of low success rates, and hence fails to provide the continuity of funding for people and the security of careers upon which their agility depends.
Beyond long decision times, low success rates drive many other unwanted behaviours: for example, conservatism in selection, or a tendency for the applicant to oversell.
The reality is that the public purse alone is insufficient to fund the research volume the UK requires. Hence a question for the research sector, funders and government alike is how we can maximise the gearing of taxpayers’ investments by securing industrial and philanthropic co-investment to drive economic growth and public benefit.
It should also be recognised that universities in the UK increasingly cross-subsidise the whole research system via non-publicly funded teaching, and that this aspect of the system is already highly geared. Leaving aside several successful schemes which already do this, such as EPSRC prosperity partnerships, we believe that a co-investment culture would also require system agility and prompt decisions.
We all feel that the research system lacks agility, but we each see this problem from our own perspectives. The government bemoans the forward commitment of our funders – but also needs to restrict the number of new initiatives to those that it has the resources to fund, perhaps refocussing an agreed fraction of the challenges each year. Funders think that they are empowering the agility of their researchers – but also need to realise that their lengthy decision times are harming productivity. Individual researchers should welcome the agility with which they are empowered – but must accept also the responsibility to never stop thinking as to how their expertise can be applied to benefit the economy and society.
These are the interconnected problems of agility, of balance between government priorities and curiosity-driven research, of success rates, of decision times. The system we have is in danger of failing us all – we need to talk.

Any critique about the neoliberal university ought to confront and acknowledge its colonial roots. Victoria Reyes, in her book Academic Outsider (Stanford University Press, 2022), highlights that higher education was never designed for the global majority, particularly people of color from low-income backgrounds. It was built by and for the elite—predominantly white, cisgender, male and affluent individuals—whose privilege shaped the norms that dominate higher education today. These norms actively harm oppressed communities. People of color in positions of power within higher education, such as tenured faculty or administrators, often perpetuate these systems of oppression when they conform to institutional norms instead of challenging them.
The positivist research paradigm (a.k.a. positivism) sustains oppression in academia by prioritizing quantifiable data while dismissing subjective experiences and social contexts in pursuit of “objective” truths. This fragmented approach erases the complexity of lived experiences and ignores the interplay of privilege and oppression in shaping identities. Positivism fuels deficit-based research, white saviorism and helicopter science, invalidating diverse epistemologies and methodologies. Deficit-based research highlights negative conditions in oppressed communities, framing them as lacking while ignoring systemic causes of inequities, such as settler colonialism and structural racism. Legacies of positivism reinforce harmful stereotypes and stigmatization toward communities of color in higher education.
In contrast, a transformative paradigm offers an alternative to positivism by centering the voices and experiences of oppressed communities. It prioritizes knowledge democracy and dismantling of power imbalances that have historically excluded marginalized communities from the research process. Over the past 25 years, community-engaged research (CEnR) and community-based participatory research (CBPR) have emerged as crucial approaches in health education, public health and the social sciences to address social inequities. Both approaches emphasize equitable, reciprocal community-academic partnerships, to foster genuine collaboration and systemic change.
As a woman of color from the Global South and an immigrant scientist who studies health equity, I have witnessed firsthand both the transformative potential of CEnR in addressing social injustice and the discriminatory practices that neoliberal universities perpetuate in my own research with low-income and immigrant communities of color. While CEnR and CBPR are integral to addressing complex health and social inequities by empowering communities and fostering sustainable interventions, a question remains: Can these approaches thrive within the neoliberal university?
Unfortunately, the rise of CEnR within neoliberal universities, particularly during the COVID-19 pandemic, was driven not by a genuine shift toward equity, but by a desire for funding and institutional prestige. As Megan Snider Bailey notes, “Market forces … shape university-community partnerships,” reinforcing a colonial mindset rooted in the white savior complex. This complex positions universities as gatekeepers of resources and legitimacy, exploiting oppressed communities under the appearance of “helping” them to secure funding from entities like the National Institutes of Health, the National Science Foundation and the Patient-Centered Outcomes Research Institute.
The white savior complex describes privileged individuals, often white, who see themselves as “saviors” or “benevolent rescuers” of oppressed communities. This paternalistic mindset creates exploitative dynamics and replicates patterns of subjugation. For instance, universities often profit significantly from research with oppressed communities, taking up to 50 percent of grant funds as indirect costs for expenses such as facility maintenance and administration. These funds rarely return to the communities that need them most. Instead, universities divert these resources to maintain their own operations, exposing the hypocrisy of institutions that claim to support equity and justice. These exploitative practices raise a critical question: Who benefits the most from the oppression and illness of communities of color?
The answer often points back to the universities themselves. They profit from the appearance of equity while perpetuating social injustice. The harm caused by white saviorism extends beyond finances. Transactional and extractive research methods are normalized in the neoliberal university. These methods reinforce patterns of subjugation and undermine long-term partnerships that could foster social justice and radical healing. As scholars have shown, a human-centered, liberatory approach must replace the transactional and extractive methods often associated with white supremacy and settler colonialism.
Universities that claim to promote social justice and CEnR often perpetuate exploitative practices and precarious working conditions. They frequently hire community leaders, promotoras de salud (community health workers), students and scholars of color on short-term contracts with little job security and no benefits. These precarious positions create dependency on higher institutions that exploit labor while controlling access to resources.
As Anne Cafer and Meagen Rosenthal explain, moral outrage often drives short-term involvement in community projects. CEnR that fails to address inequitable power dynamics becomes another tool of oppression disguised as allyship. Superficial, performative community-academic partnerships deepen mistrust of academic institutions in oppressed communities and reinforce power dynamics and social injustice.
Raquel Wright-Mair and Samuel Museus highlight how academia’s power hierarchies instill a fear of retaliation, silencing junior scholars of color from challenging systemic inequities. Scholars of color are often forced to align their work with institutional goals while sickening their bodies and damaging their mental health. The market-driven model of the neoliberal university prioritizes profits and productivity, limiting justice-oriented research. To address these issues in higher education, we must ask urgent questions:
The neoliberal university perpetuates the white savior complex, commodifies community needs and exploits people of color through short-term appointments designed to maintain systemic inequities. Therefore, it is pivotal to embrace the liberatory nature of CEnR that prioritizes social justice and structural change.
Advancing CEnR that truly serves oppressed communities requires dismantling the colonial, patriarchal and exploitative structures underpinning higher education. Embracing a transformative paradigm prioritizes genuine representation, community needs and liberation over market-driven motives, creating a model for lasting social change and liberation in an increasingly inequitable world.

Remember the spring budget, when the Federal government announced a heavily back-ended $1.8 billion (spread over five years) boost to research grant funding, as well as the creation of a capstone research organization which might have its own funds to co-ordinate challenge-based research? Well, the federal government has recently been fleshing out these announcements through a series of badly coordinated media releases. And so today, we’re going to go on a quick government press release safari to try to work this out.
The three granting councils have all issued statements about how much new funding they expect to receive over the next five years. SSHRC says that its share of the $1.8 billion will be $316 million. CIHR says it is in line for $540 million over five years. NSERC does not provide a figure over five years, but it does say it what it will receive in years one and five, and since these figures are both pretty close to the numbers CIHR cites, I’m going to go ahead and say that NSERC is set to get something around $540 million as well. Total to the councils is therefore $1.396 Billion over five years.
In addition to this, the government says it is going to give $182 million over five years for the creation of 224 new Canada Research Chairs. It also says it will be providing $452 million to the Research Support Fund (RSF) for things such as establishing digital tools to support research and cybersecurity and supporting inclusive and indigenous research. A separate press release says it will be providing $354 million to support the indirect costs of research.
Now, if you’re counting carefully, you’ll realize that total government announcements total to $2.03 billion. Which, it should be superfluous to add, is not $1.8 billion.
Confused? Me too.
And the government is not done with announcements. Recall from the spring budget that one of the key announced changes was the creation of a “capstone” organization which would sit above the tri-councils without actually directing them. Details on what it would do and how were scarce, mainly because ISED and Finance were at loggerheads over the issue and so the feds did what they always do and punted the question for a few months with the magic words “details to come in the Fall Economic Statement.”
Now, it’s not entirely clear that there actually will be a Fall Economic Statement (Dec. 21st is fast approaching and there’s still no date set), but one key question it was meant to resolve was whether or not the capstone organization would, as recommended by l’Université de Montréal’s estimable Frederic Bouchard and the rest of his Advisory Panel, have funds of its own (beyond those run by each of the tri-councils) for a) multi- and interdisciplinary research that falls through the cracks between the councils and b) mission-driven research. I think the general assBudumption in the research community is that while the capstone organization might not get a ton of money for these activities, the sum would nevertheless be non-zero. So we’re more than likely not just $200 million dollars over the originally-announced budget but probably $300 million or more.
It’s not peculiar that this government might go over budget on something. What is peculiar is that the current government, famous for believing (or at least giving every evidence of doing so) that spending money is in and of itself evidence of program effectiveness, wouldn’t take credit for it. If they were actually bumping up their overall spend, past form suggests they’d be shouting it from the rooftops instead of letting some random higher education blogger work it out on his own and then share it with a few thousand of his closest followers.
A mystery to be cleared up soon I guess.
One other point of note here is a wrinkle in how the additional indirect support grants will work. Overall, indirect support has been equal to about 22% of “direct” funding: that is, for every dollar of tri-council grant that goes out, 22 cents accompanies it to cover overhead (most informed observers think actual overhead is closer to 50 cents, but this is another story). The sum being allocated in these announcements—$354 million to accompany a $1.4 billion increase in council grants—is more or less in line with this figure.
BUT—and this will be a big but for some people—the money is only going to be given to institutions which receive more than $7M/year in tri-council grants, which basically means the U15 plus a half-dozen others. Why? Well, because that 22% average is just that: an average. The biggest tri-council grant recipients (i.e. the U15) only get indirect funding equal to about 18% of their tri-council grant haul. At some of the smallest institutions, the figure can be as high as 80%. This equalization formula has, as you can imagine, driven the U15 absolutely spare over the two decades it has been in force, and so you can read this part of the announcement as a victory for the Big Rich Universities.
More when we get a Fall—or possible a Winter—Economic Statement. See you then.