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Find similar grantsMind Perception in AI Companionship: Testing the Assumptions of Social Theories is sponsored by National Science Foundation (NSF). This research project focuses on human interaction with artificial intelligence, specifically social AI designed to connect with humans.
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iSchool Professor Jaime Banks Secures $600,000 NSF Grant to Research Human Experiences of AI - iSchool | Syracuse University iSchool Professor Jaime Banks Secures $600,000 NSF Grant to Research Human Experiences of AI iSchool Professor Jaime Banks Secures $600,000 NSF Grant to Research Human Experiences of AI Jaime Banks, an Associate Professor and PhD Director at the School of Information Studies, has secured $600,000 in grant funding for an innovative research project focused on human interaction with AI.
The grant, funded by the National Science Foundation (NSF) through its Computer and Information Science and Engineering (CISE) directorate, and more specifically, the Human-Centered Computing (HCC) funding arm, is for research into “Mind Perception in AI Companionship: Testing the Assumptions of Social Theories.
” As Principal Investigator (PI), Banks will lead an investigation into how language and social cognition shape our understanding of artificial intelligence along with co-PI, Caleb Carr, a professor of communications from Illinois State. iSchool PhD student Zhixin Li will be supporting that work.
This funding marks a significant milestone after two years of dedicated work in securing this grant, paving the way for a deep dive into social AI’s role in human lives. Over the next four years, Banks and her interdisciplinary team will explore the psychological and social dimensions of AI, addressing pressing questions about how we humanize and relate to these technologies.
This is a study into the social-cognitive processes involved in these companion machines. From the way we even refer to them as “companions” and the way they are designed to interact with users, to how they make users feel, Banks says, “We want to understand the subjective experience of seeing an AI companion as someone , and how that experience links to the positive or negative effects.
” As Banks embarks on this research project, her work promises to contribute insights into the evolving relationship between humans and AI. By investigating the psychological and social factors that influence our interactions with these technologies, Banks and her team aim to conduct rigorous scientific work–the insights from which may inform future developments in AI design as well as policy, practice, and ethics.
2025-02-04T09:45:37-05:00 Facebook X Reddit LinkedIn WhatsApp Tumblr Pinterest Vk Email
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The current listing shows $600,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Mind Perception in AI Companionship: Testing the Assumptions of Social Theories is funded by National Science Foundation (NSF). Verify program details on the funder's official page before applying.
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Economics of AI Fellowship is sponsored by Stripe. The fellowship supports foundational academic research in the economics of AI, an area currently understudied despite rapid technical progress in artificial intelligence. Fellows receive a baseline grant, opportunities to attend conferences with leading economists and technologists, and potential access to unique data via Stripe and its customers.
The Smart Data Research UK Fellowships provide up to £200,000 per project for researchers using smart data to address real-world challenges across the United Kingdom. Funded by UKRI through Smart Data Research UK, this program supports up to ten projects lasting 18 months, with start dates by February 2026. Applicants must be based at eligible UK organizations and demonstrate strong data skills with a compelling research question aligned to one of four SDR UK themes: productivity and prosperity, health and wellbeing, sustainability, or communities and places. Researchers at all career stages may apply, with early career researchers particularly encouraged. Projects may use smart datasets from SDR UK's six national data services or combine smart data with administrative and survey data sources.
NSF's restarted SBIR/STTR program carries two transition rules almost nobody has calendared. Project Pitch invitations issued on or after July 3, 2025 must be converted to a full proposal by November 4, 2026. Phase I awardees whose awards started on or after November 6, 2023 must submit Phase II by the same date. Both cohorts were created by the program lapse, and both cliffs are hard.
Read articleAI4OPT got $20 million through 2031. IAIFI got roughly $24.9 million. AI2ES got a no-cost extension and a shutdown. The NSF AI Institutes solicitation shows no due dates and reads 'waiting for new publication' — which makes the year-four renewal conversation the highest-stakes meeting in the program.
Read articleFuture CoRe (NSF 25-543) advertises $280 million and 400 to 600 awards across 11 programs, with a September 10, 2026 target date. The directorate behind it is running 43 percent below its own four-year average, $1 billion of NSF's budget is locked in a central account, and the two-proposal cap is enforced with no exceptions. Here is how to read the gap between what the solicitation promises and what the directorate is actually paying for.
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