Project Grant 2522170
- The National Science Foundation awarded a $400,000 Project Grant under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program to The Trustees of Princeton University to develop new online tools and platforms that enable behavioral science researchers to conduct large-scale experiments studying human-AI interactions. The project aims to build infrastructure that allows thousands of humans and AI "bots" to meet and interact, enabling scientists to investigate how humans...
- The National Science Foundation (NSF) awarded a $399,998 Project Grant to Cornell University to build new online tools that facilitate large-scale behavioral experiments investigating how humans and artificial intelligence (AI) agents interact and influence each other. The grant, funded under the NSF's Social, Behavioral, and Economic Sciences (CFDA 47.075) program, will integrate these tools into existing platforms for behavioral research. The project aims to make it easier for scientists...
- This Project Grant award of $174,999 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program supports research to investigate the dynamics and quality of interactions between people and AI-powered companion applications. The research will be conducted in three phases: 1) analyzing social media data and user interviews to develop a taxonomy of user interactions and identify motivations, challenges, and values associated with AI...
- This National Science Foundation (NSF) Project Grant award under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $219,152 to the University of Florida to study and improve the use of artificial intelligence (AI) chatbots for evaluating job candidates. The research aims to investigate how AI-based interview systems may produce different outcomes based on individual characteristics, even when qualifications are equal, and to explore how people perceive the balance...
- This $348,757 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to define and measure social and emotional understanding in artificial intelligence (AI) language models. The project, led by the University of Texas at Austin, aims to develop rigorous methods for assessing the emotional capacity of AI systems, in order to enable the creation of more capable and safer conversational AI that...
- This Project Grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program totaling $246,455 will fund research examining socio-technical practices governing the design, manufacture, and distribution of emerging digital technologies. Specifically, the two-year award to the University of Massachusetts will support multi-sited ethnographic research and analyses exploring how entrepreneurs, manufacturers, and investors are actively building and circulating...
- This federal Project Grant award of $446,272 from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program aims to advance understanding of perspective-taking and language use in conversational interactions, including with artificial intelligence (AI) systems. Through a combination of empirical data collection and computational modeling, the project at Vanderbilt University investigates the cognitive processes governing language use and memory...
- This federal Project Grant award, valued at $649,388 and awarded by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program, is funding research to investigate the impact of AI chatbots on student learning and assessment in online exams. The key objectives are to understand why students use AI tools, how AI use affects student performance and long-term learning, and whether it maintains the validity of exam outcomes. The research will...
- This Project Grant award from the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a research project investigating language shift and contact-induced language change. The $116,797 award to the University of Texas at Austin aims to document, analyze, and aid in the revitalization of a language that has undergone significant grammatical changes due to language contact and generational shifts. The project involves collecting 40...
- This $174,995 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to understand and optimize the role of human intelligence in data integration and discovery pipelines, especially in the context of emerging large language models (LLMs) like ChatGPT. The project will investigate fundamental questions about human involvement in these data processes, uncover relevant human biases, and...
The National Science Foundation (NSF) awarded a $267,443 Project Grant under its Social, Behavioral, and Economic Sciences (CFDA 47.075) program to the University of Houston System to conduct a mixed-methods ethnographic study examining how the design choices of conversational AI system developers impact user interactions. The 3-year project involves fieldwork and interviews with conversation designers and UX professionals to understand how their practices influence the usability and cultural contexts of AI-powered conversational interfaces. The research findings will be adapted into new educational resources to improve digital interactions and prepare students for careers in AI systems design. This award reflects NSF's mission to support fundamental scientific research that advances understanding of human behavior and social dynamics through empirical and interdisciplinary approaches.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $0 | 8/22/25 | ||
| Not listed | $267.4k | 8/22/25 |