The HAI Seed Research Grant program supports researchers in the earliest stages of exploring speculative AI ideas across a wide range of subjects and fields. Projects can take the form of discrete studies, book-length research initiatives, a speaker series, or system building and evaluation. The goal of this funding is to help teams get initial results from their research.
According to HAI Faculty Affiliate Jonathan H. Chen, an assistant professor of medicine, “Seed research grants from HAI have been critical to supporting our work at the HealthRex Lab. Federal funding is important, but it’s not the only way to succeed in biomedical informatics research.” For one project, Chen and colleagues received an HAI and AIMI Partnership Grant to study digital machine learning prediction models for oncology diagnostic testing that could help oncologists make the best choice for their patients, and this work has recently been accepted for publication in Nature Digital Medicine. “The interdisciplinary collaboration that HAI facilitates has been essential to our ability to learn from other domains,” he adds.
Graduate and Postdoctoral Fellowships
In addition to its grant programs, HAI supports promising researchers whose work cuts across different fields and risks being overlooked by rigidly defined academic departments. The Postdoctoral Fellowship Program offers opportunities to explore topics, conduct research, and collaborate across disciplines related to AI technologies, applications, or impact. Current HAI Postdoctoral Fellow Joba Adisa, for instance, has teamed with Victor Lee, an associate professor at the School of Education, to promote AI literacy and offer free resources to high school teachers through the CRAFT project.
“HAI provides a built-in network to bring your ideas to life. It’s a diverse community that includes mentorship, events, and opportunities to collaborate with amazing people as we explore how to frame AI in ways that augment human capabilities,” Adisa says.
HAI also offers Stanford graduate students a three-quarter fellowship designed to encourage interdisciplinary research. The program fosters collaboration between engineers, social scientists, and others researching the future of purposeful, intentional, and human-centered AI.
Faculty Fellowships
HAI’s first faculty fellow, Johannes Eichstaedt, studies the intersection of psychology and AI through a full-time, five-year appointment, and he’s been instrumental in positioning Stanford as a leader in examining AI for mental health. Reflecting on the resources and benefits of this appointment, he says, “The Stanford ecosystem is unparalleled in supporting its faculty. The university is full of stellar colleagues who push and challenge one’s research. And with startup funds, seed grants, and cloud credits, HAI and Stanford have been wonderfully generous in helping to incubate my interdisciplinary research.” Eichstaedt is especially grateful to HAI for connecting him with policy, industry, and science partners to think through how AI is changing society socially and psychologically— the focus of the book he’s currently writing.
A second HAI faculty fellow, Hari Subramonyam, an assistant professor of education, joined the institute in 2021 to advance work that pulls from human-computer interaction and the learning sciences. He focuses on using AI to augment human learning, creativity, and sensemaking by incorporating principles from cognitive psychology.
HAI also appoints faculty fellows who are jointly supported by the institute and one of Stanford’s seven schools to further the goal of multidisciplinary research. For example, Erik Brynjolfsson, director of the Stanford Digital Economy Lab, is funded by HAI and the Graduate School of Business. Yejin Choi, a former senior director at NVIDIA, was appointed HAI senior fellow in January, with additional support from the School of Engineering.
Google Cloud Credit Grants
Through a partnership with Google, HAI accelerates innovative ideas that require advanced computational resources from the commercial cloud. These Cloud Credit Grants offer Stanford researchers the chance to access up to $100,000 of Google Cloud credits— generally more than the company allocates through its own Google Higher Education programs.
One recent project used cloud credits to create a new social reasoning benchmark for large language models. Another team received support for a novel approach to training discrete diffusion models, which outperformed GPT-2 in testing and won best paper at the International Conference on Machine Learning (ICML) 2024.
Progress Software, a company offering artificial intelligence-powered digital experience and infrastructure software, has launched Progress Federal Solutions, a wholly owned subsidiary that aims to deliver AI-powered technologies to the federal, defense and public sectors.
Progress Federal Solutions to Boost Digital Transformation
The company said Monday the new subsidiary, announced during the Progress Data Platform Summit at the International Spy Museum in Washington, D.C., is intended to fast-track federal agencies’ digital modernization efforts, meet compliance requirements, and advance AI and data initiatives. The subsidiary leverages MarkLogic’s data management and integration expertise, a platform that Progress Software acquired in 2023.
Progress Federal Solutions functions independently but will offer the company’s full technology portfolio, including Progress Data Platform, Progress Sitefinity, Progress Chef, Progress LoadMaster and Progress MOVEit. These will be available to the public sector through Carahsoft Technology‘s reseller partners and contract vehicles.
Remarks From Progress Federal Solutions, Carahsoft Executives
“Federal and defense agencies are embracing data-centric strategies and modernizing legacy systems at a faster pace than ever. That’s why we focus on enabling data-driven decision-making, faster time to value and measurable ROI,” said Cori Moore, president of Progress Federal Solutions.
“Progress is a trusted provider of AI-enabled solutions that address complex data, infrastructure and digital experience needs. Their technologies empower government agencies to build high-impact applications, automate operations and scale securely to meet program goals,” said Michael Shrader, vice president of intelligence and innovative solutions at Carahsoft.
In 2025, even as AI dominates headlines, research usage trends from Info-Tech Research Group reveal that CIOs are still focusing on evergreen frameworks and trusted resources to keep their organizations stable. The newly published Best of Classics in 2025 report from the global IT research and advisory firm analyzes the most frequently accessed research and tools, offering insight into how IT leaders are strengthening organizational fundamentals. The report’s findings highlight that organizational resilience depends on these core practices, which enable CIOs to balance rapid innovation with operational maturity.
TORONTO, Sept. 16, 2025 /CNW/ – As AI-driven disruption accelerates across industries, CIOs are leaning on proven frameworks and evergreen tools to provide stability and resilience. Info-Tech Research Group has published its Best of Classics in 2025 report, showcasing the most in-demand and consistently used resources by IT leaders this year. The findings show that while emerging technologies capture attention, the most trusted resources remain those that strengthen IT strategy, governance, project management, risk practices, and service delivery.
Research usage trends from Info-Tech Research Group reveal that CIOs are still focusing on evergreen frameworks and trusted resources to keep their organizations stable. The newly published Best of Classics in 2025 report from the global IT research and advisory firm analyzes the most frequently accessed research and tools, offering insight into how IT leaders are strengthening organizational fundamentals (CNW Group/Info-Tech Research Group)
These findings emphasize a dual focus for IT leaders; CIOs are leaning on evergreen frameworks like IT strategy, data governance, and project management to support innovation, while also seeking guidance on AI roadmaps and risk management. This simultaneous demand shows that the successful adoption of emerging technologies depends on well-managed fundamentals.
“Change is the headline, and fundamentals are the path forward to stability and long-term value creation,” says Info-Tech Research Group’s Chief Research Officer, Gord Harrison. “CIOs must prepare their organizations for AI-fueled change while ensuring the basics are executed well. By keeping strategy, governance, and process maturity at the forefront, leaders can mitigate risks, align with business priorities, and build a strong foundation for responsible AI adoption.”
Key Challenges IT Leaders Face in 2025
Despite growing investment in artificial intelligence and other emerging technologies, CIOs continue to encounter systemic challenges that can hinder progress. Info-Tech’s Best of Classics in 2025 report shows that many organizations struggle with the following challenges:
Balancing AI adoption with operational maturity and risk management.
Fragmented governance models that slow decision-making.
Resource constraints and competing priorities that delay project delivery.
Resistance to change that limits transformation outcomes.
Info-Tech’s Top 12 Research from the Best of Classics in 2025 Report
To help address these persistent challenges, Info-Tech’s report details the most relied-upon classic resources as actionable priorities for CIOs and IT leaders:
Build a Business-Aligned IT Strategy: This research is popular because it helps CIOs develop a mission-driven IT plan that aligns directly with business priorities, sets clear guiding principles, and translates them into an actionable roadmap. The result is stronger executive communication, better initiative prioritization, and governance structures that ensure IT consistently delivers business value.
Standardize the Service Desk: Leaders repeatedly turn to this research to build a solid foundation for IT service by assessing maturity, designing incident and request workflows, and documenting standard operating procedures. This improves efficiency, eliminates redundancies, and delivers faster, more reliable support for both users and technicians.
Tailor IT Project Management Processes to Fit Your Projects: Right-sizing project management practices to match the scope and risk of each initiative is critical. By applying lightweight approaches to small projects and rigorous frameworks to complex ones, IT leaders are able to increase throughput, reduce delays, and strengthen executive confidence in delivery.
Establish Data Governance: CIOs are using this resource to create an enterprise-wide governance program that aligns with business strategy and value streams to ensure data produces measurable business results. The outcome is stronger data quality, reduced risk, and a culture of data-driven decision-making.
Optimize IT Governance For Dynamic Decision-Making: This research provides guidance on redesigning governance structures to reflect how the organization truly operates by clarifying decision rights, defining accountability, and equipping committees with effective charters. It’s popular because it leads to faster, more transparent decision-making that avoids bottlenecks and supports business performance.
Design Your IT Organization For The Future: CIOs rely on this research to architect an IT structure that consistently delivers on enterprise objectives by aligning capabilities to business priorities, clarifying roles, and building adaptable teams. The outcome is a high-performing IT function that closes service gaps, boosts performance, and attracts and retains talent.
Implement AI For Customer Experience: Leaders use this resource to transform the customer journey from reactive to proactive by targeting high-impact AI use cases, defining requirements and governance up front, and designing scalable pilots. This enables greater personalization, faster resolution times, and stronger customer loyalty while managing risk.
Build an Information Security Strategy: This comprehensive blueprint remains essential because it helps organizations develop a holistic, risk-aware, and business-aligned security program. By gathering requirements, assessing risks, conducting a gap analysis, and creating a flexible roadmap, security leaders are able to strengthen cyber resiliency and ensure security investments generate measurable business value.
Build a Robust and Comprehensive Data Strategy: IT leaders continue to access this research to align data initiatives with business goals by engaging stakeholders, defining guiding principles, and mapping projects to measurable outcomes. The result is stronger executive support, better decision-making, and long-term business value from data investments.
Design an Enterprise Architecture Strategy: CIOs turn to this resource to build EA strategies anchored in business value by defining vision, goals, principles, and services that connect enterprise objectives to IT outcomes. This approach clarifies EA’s role, strengthens stakeholder support, and enables architects to guide projects in real time.
Develop a Project Portfolio Management Strategy: This research helps leaders create a coherent portfolio approach that balances supply and demand, secures executive buy-in, and aligns processes to strategic goals. IT leaders and project managers use it to maximize project value, improve throughput, and deliver initiatives that consistently meet business expectations.
Rationalize Your Application Portfolio: CIOs frequently leverage this blueprint to establish an evergreen application portfolio management program that eliminates redundancy, reduces costs, and improves scalability. By assessing the current state, creating a central inventory, and aligning applications with business priorities, IT leaders are simplifying oversight, retiring low-value apps, and building roadmaps that deliver measurable ROI while supporting digital transformation.
The firm’s Best of Classics in 2025 report also highlights the top diagnostics, SoftwareReviews vendor quadrants, training programs, workshops, industry research, keynotes, and AI marketplace reports that remain essential to the success of IT leaders. Together, these resources are providing CIOs with evergreen frameworks and structured methodologies to support transformation while maintaining resilience. The blueprints outlined in the report also include tools to assess governance maturity, concierge services to streamline vendor analysis, training programs to build leadership and AI skills, and workshops to solve pressing IT problems with measurable outcomes.
“Even as emerging technologies shift priorities, the fundamentals remain the backbone of IT leadership,” explains Harrison. “Info-Tech’s research classics deliver enduring value by ensuring organizations don’t just move fast, but also move wisely.”
Info-Tech’s Best of Classics in 2025 report brings together the most relied-upon blueprints, diagnostics, vendor guides, and training programs that CIOs use to keep their organizations grounded. Collectively, these resources provide practical tools and structured methodologies that help IT leaders align strategy with execution, strengthen governance, and sustain transformation efforts while preparing for the accelerating AI revolution.
Info-Tech Research Group is one of the world’s leading research and advisory firms, serving over 30,000 IT and HR professionals. The company produces unbiased, highly relevant research and provides advisory services to help leaders make strategic, timely, and well-informed decisions. For nearly 30 years, Info-Tech has partnered closely with teams to provide them with everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.
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Little is known about how novel viruses such as SARS-CoV-2 evolve or how conditions such as dementia develop at the molecular level, but ProRNA3D-single helps fill those gaps and generate more accurate maps of the inner landscape. Now, instead of guessing, drug developers can analyze where viruses attach to human proteins and design treatments to block them. That could dramatically cut the time and cost of interventions and speed up responses to outbreaks.
“If you remember the COVID-19 pandemic and the mRNA-based vaccine that actually helped a lot — that vaccine worked because it was an RNA-based therapeutic,” said Sumit Tarafder, a fourth-year Ph.D. student on the project. “Modeling of protein-RNA interactions in 3D is crucial, so that we know where the drug can actually target molecules that cause disease.”
Not only that, but by generating new data about RNA-protein interactions, the ProRNA3D-single model creates insights that could lead to groundbreaking treatments for a range of maladies.
While the Virginia Tech team used viruses as a case study, “the method is fully generic. It’s not specific to a single type of virus or a family of viruses,” Bhattacharya said. “This method can be applied to any use case.”
Open science, global impact
Innovative methods like ProRNA3D-single don’t come easily. Two years of work have gone into this project.
Alumnus Rahmatullah Roche, Ph.D. ’24, did much of the coding, publishing more than a dozen papers on the subject during his doctoral work. He has since joined Columbus State University as a tenure-track assistant professor.
“The lead Ph.D. students did enormous work,” Bhattacharya said. “They did most of the heavy lifting.”
Discoveries like these can improve life on a national and even global scale, and as science in the public interest, this project has received funding from the National Institutes of Health and National Science Foundation. Not only is the research paper open access, but Bhattacharya is making the new tool itself freely available for scientists to try for themselves.
“We can’t overstate the importance of investing in science to benefit society. We believe that openness is the key to making science accessible to everybody,” Bhattacharya said. “Taxpayers fund us, so we have an obligation to give back, which is why we make our work open source and publicly available.”
The team hopes to continue development of the tool to improve its accuracy and get even more detailed models of various biological processes.
“We should constantly remind ourselves the problem is far from being solved,” Bhattacharya said. “We made progress, yes, but we’re mindful of the fact that these models have a long way to go.”
