Project Grant 2523513
- The National Science Foundation awarded a $110,000 Project Grant under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program to Purdue University. The grant, titled "Collaborative Research: How AI Labor Research Influences Stakeholder Beliefs and Regulatory Preferences," examines how exposure to scholarly forecasts about the impact of artificial intelligence (AI) on labor markets shapes the perceptions, decision preferences, and intended behaviors of U.S. workers,...
- This National Science Foundation (NSF) Project Grant award under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $267,443 to the University of Houston System to conduct a mixed-methods ethnographic study examining how the design choices of conversation designers and user experience (UX) professionals influence human-AI interactions. The 3-year project (10/1/2025 - 9/30/2028) involves fieldwork with AI development teams to understand how they define usability, how...
- This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $200,000 to Duke University to conduct a cross-national study using generative artificial intelligence, social simulation models, and online experiments. The goal is to identify how social media algorithms can be redesigned to promote mutual understanding, increase trust, and reduce polarization. The research design involves training large language models...
- This $111,984 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will support a collaborative research project focused on mapping the state of AI ethics education across diverse higher education institutions in the United States. The project aims to: (a) comprehensively survey current and planned AI ethics education interventions, (b) develop a framework to understand how faculty perceive and conceptualize AI ethics...
- This $199,503 Project Grant awarded by the National Science Foundation (NSF) under the STEM Education (CFDA 47.076) program will fund a large-scale, mixed-methods study to understand perceptions and use of artificial intelligence (AI) technologies in K-12 education. The one-year project will survey a nationally representative sample of parents, teachers, and youth to identify opportunities, risks, and supports needed for integrating AI-driven learning tools. The study will employ both...
- This Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems (CFDA 47.070 - Computer and Information Science and Engineering) supports research into probing the inner workings of artificial intelligence (AI) systems and comparing them to human cognition during speech recognition. The $50,000 award to the University of Southern California (USC) will fund the development of novel mathematical models and experimental methods to examine how AI...
- This Project Grant award of $165,000.00 from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports research at Clemson University to develop a comprehensive framework for the principled use of artificial intelligence (AI) technologies in data-intensive education research. The project aims to benefit society by enabling more trustworthy education research, fostering public confidence in AI applications, and ensuring technological advances serve all...
- The National Science Foundation (NSF) awarded a $329,183 Project Grant to the College of William & Mary under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant, awarded on October 1, 2023, will fund the development of a framework and methodology to enable researchers and software engineers to better interpret the behavior of AI-powered developer tools that leverage neural language models for source code. The project aims to generate global and local...
- This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) grant award of $121,154 to Northeastern University provides funding for a collaborative research project titled "Science and Information Integrity: Strategies for Rebuilding Trust in Science." The project aims to investigate the causes and mechanisms underlying the decline in public trust in science, with a focus on addressing both fact-level misinformation and broader trust-level threats...
- This $150,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will fund the creation of research infrastructure to advance social artificial intelligence. The Leland Stanford Junior University will develop processes for collecting and annotating multimodal, cross-cultural datasets of social communication in an ethical and sustainable manner. They will also organize workshops around data collection needs to build models...
This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award of $189,936 to Louisiana Tech University supports research to address a critical barrier in artificial intelligence (AI)-based science communication. The project aims to develop methods for increasing trust in and use of AI for science communication and literacy, particularly for rural communities. In Phase 1, the researchers will quantify the extent to which rural knowledge systems are underrepresented in generative AI models. Phase 2 will investigate how the absence of local knowledge incorporation affects community members' perceptions of and trust in generative AI systems. Phase 3 will develop and test an AI system that enhances local knowledge incorporation. This research is expected to promote national prosperity by advancing scientific literacy and innovation across American communities.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $189.9k | 8/14/25 |