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Human-AI Interaction Research Grants for Multidisciplinary Research and Prototyping is sponsored by Alfred P. Sloan Foundation. This grant funds multidisciplinary research on human-AI interaction—how people interact with, are affected by, and can benefit from artificial intelligence systems—as well as prototyping of novel uses of AI systems that move research insights into practice.
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The Foundation awards approximately 200 grants per year (excluding the Sloan Research Fellowships), totaling roughly $80 million dollars in annual commitments in support of research and education in science, technology, engineering, mathematics, and economics. This database contains grants for currently operating programs going back to 2008.
For grants from prior years and for now-completed programs, see the annual reports section of this website.
* grantee: Boston University To continue development of and community engagement with an open source framework and resources to streamline the process of building and deploying generative AI applications in academic settings * Initiative AI in Science * Sub-program Exploratory Grantmaking in Technology * Investigator Ioannis Paschalidis To continue development of and community engagement with an open source framework and resources to streamline the process of building and deploying generative AI applications in academic settings * grantee: University of North Dakota To support the prototyping of a domain-specific AI copilot for process engineering scale-up research * Initiative AI in Science * Sub-program Exploratory Grantmaking in Technology * Investigator Nagababu Andraju To support the prototyping of a domain-specific AI copilot for process engineering scale-up research * grantee: Fordham University To study how the use of generative AI-based code assistants impacts team-level coordination in scientific software development * Initiative AI in Science * Sub-program Exploratory Grantmaking in Technology * Investigator Navid Asgari To study how the use of generative AI-based code assistants impacts team-level coordination in scientific software development * grantee: Code for Science and Society To strengthen US participation and leadership in global research data standards by exploring virtual and in-person pathways for data professionals * Sub-program Exploratory Grantmaking in Technology * Investigator John Chodacki To strengthen US participation and leadership in global research data standards by exploring virtual and in-person pathways for data professionals * grantee: University of Wisconsin-Madison To pilot the translation of AI research and technology into local contexts via cooperative extension * Sub-program Exploratory Grantmaking in Technology * Investigator Kristin Runge To pilot the translation of AI research and technology into local contexts via cooperative extension * grantee: Northern Arizona University To develop CommUnityBuddy, a conversational agent leveraging generative AI to assist in on-boarding new contributors to open source scientific software projects * Sub-program Exploratory Grantmaking in Technology * Investigator Igor Steinmacher To develop CommUnityBuddy, a conversational agent leveraging generative AI to assist in on-boarding new contributors to open source scientific software projects * grantee: Northeastern University To support the Metascience and AI summer institute and the AI and Data Ethics Summer Training Program (AIDE Summer), two programs focused on the training of early career philosophers and social scientists studying the use of AI in scientific research * Initiative AI in Science * Sub-program Exploratory Grantmaking in Technology * Investigator Kathleen Creel In early 2025, the Foundation partnered with UK Research & Innovation (UKRI) and the Canadian Social Science and Humanities Research Council (SSHRC) to support 29 Metascience & AI fellowships for postdoctoral researchers interested in understanding the implications of AI for the science and research ecosystem.
As part of the fellowship, the Foundation agreed to host a summer institute to facilitate knowledge sharing, relationship building, and skill development among fellowship recipients. This grant will support that Metascience & AI summer institute, stewarded by John Basl and Katie Creel at Northeastern University. It will also support a partially overlapping nine-week program during summer 2026 in AI and Date Ethics (AIDE).
Both programs will be co-located with a mentoring workshop for early-career Computer Science faculty in Trustworthy AI research organized by the Computing Research Association and Microsoft Research. Grant funds will support travel, lodging, and meals for both Metascience & AI and AIDE participants, summer stipends for AIDE fellows, and staff and speaker compensation.
To support the Metascience and AI summer institute and the AI and Data Ethics Summer Training Program (AIDE Summer), two programs focused on the training of early career philosophers and social scientists studying the use of AI in scientific research To support a workshop assessing U.S. infrastructure needs for AI access and adoption * Initiative AI in Science * Sub-program Exploratory Grantmaking in Technology * Investigator Joshua New To support a workshop assessing U.S. infrastructure needs for AI access and adoption * grantee: Code for Science and Society To support participation by university- and nonprofit-based researchers at upcoming Social Science Foo and Sci Foo gatherings * Sub-program Exploratory Grantmaking in Technology * Investigator Marsee Henon To support participation by university- and nonprofit-based researchers at upcoming Social Science Foo and Sci Foo gatherings * grantee: Society for Laboratory Automation and Screening To develop educational guidelines and materials for academic and industry stakeholders to improve workforce competency in laboratory automation * Sub-program Exploratory Grantmaking in Technology * Investigator Kennedy McDaniel Bae To develop educational guidelines and materials for academic and industry stakeholders to improve workforce competency in laboratory automation
According to the current listing, eligibility includes: Academic institutions. The foundation supports research and education in science, technology, engineering, mathematics, and economics. Confirm the full requirements in the official notice before applying.
The current listing shows varies (Foundation awards approximately 200 grants per year, totaling roughly $80 million in annual commitments). Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for Human-AI Interaction Research Grants for Multidisciplinary Research and Prototyping are due December 31, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Human-AI Interaction Research Grants for Multidisciplinary Research and Prototyping is funded by Alfred P. Sloan Foundation. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Past winners and funding trends for this program
The Sloan Foundation's exploratory grantmaking in Technology supports the development and adoption of AI tools that accelerate scientific research and automate aspects of the scientific process. Funded scope includes foundation models for science (chemistry, biology, materials, physics), AI lab automation and self-driving laboratories, AI-driven literature review and synthesis tools, machine learning for experimental design, scientific reasoning and hypothesis generation in LLMs, and infrastructure for open scientific AI. The exploratory program identifies emerging sectors, tools, and methods with high potential that may not yet attract mainstream funding, prioritizing interdisciplinary risk-taking work.
The Alfred P. Sloan Foundation's Exploratory Grantmaking in Technology program supports the development and adoption of AI tools that accelerate scientific research and automate aspects of the scientific process. Funded areas include foundation models for science (chemistry, biology, materials, physics), AI lab automation and self-driving laboratories, AI-driven literature review and synthesis, machine learning for experimental design, scientific reasoning and hypothesis generation in LLMs, and infrastructure for open scientific AI. Rolling letters of inquiry (no more than two pages) are accepted year-round and emailed to technology@sloan.org; grants typically range from $100,000 to $400,000.