Cooperative Agreement W911NF2120264

This National Science Foundation (NSF) Division of Information and Intelligent Systems award provides $600,000 over 3 years (8/1/2023 - 7/31/2026) to Michigan State University to develop an assistive technology framework for improving social skills interventions for children with autism and other developmental disabilities in classroom settings. The key products to be developed include a wearable human interaction tracker (WHET) tag that can quantitatively measure and track interactions...

The National Science Foundation (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded a $150,000 Project Grant to Northeastern University to develop a precision closed-loop brain-computer interface (BCI) system for assessing and rehabilitating social fears in teens with depression and anxiety. The project aims to create augmented reality (AR) technology that can simulate real-life social situations and use electroencephalogram (EEG) data to detect and respond...

The National Science Foundation (NSF) Directorate for Engineering awarded the University of Pittsburgh a 3-year, $350,000 Project Grant to develop an innovative closed-loop brain-computer interface (BCI) system for use in exposure therapy for socially fearful teenagers with depression and anxiety. The proposed technology synchronizes electroencephalogram (EEG) monitoring with augmented reality (AR) simulations of social fear scenarios, enabling real-time detection of fearful responses and...

The National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation awarded a $200,000 Project Grant to Montclair State University under the Engineering federal grant program (CFDA 47.041). The grant will support fundamental research to develop an emotion-based robotic behavior optimization system that can enable comfortable and friendly human-robot collaboration in manufacturing settings. The key products and services to be delivered under this award include:...

Summary of Federal Project Grant Award Yale University received a $665,494 Project Grant from the National Institute of Mental Health (NIMH) under the Mental Health Research Grants program (CFDA 93.242), effective September 1, 2025, through July 31, 2028. The award funds the development of a Social Interaction Suite (SIS)—an integrated system of synchronized neural and behavioral measurement tools designed to study cognitive processes during live face-to-face interactions. The SIS platform...

This National Science Foundation project grant of $379,901 provides funding from October 2021 through March 2024 to develop a computational framework for analyzing individual and group behaviors and social interactions in face-to-face meetings. Funded under the Computer and Information Science and Engineering program, the award supports research at the State University of New York at Buffalo to apply machine learning and social dynamics modeling to video data capturing students collaborating...

This National Science Foundation (NSF) Project Grant award under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $409,837 to Dartmouth College to research the computational and neural mechanisms underlying how people detect, predict, and regulate others' mental states during social interactions. The project aims to develop deep neural network models that can replicate these key aspects of human social cognition, with the goal of advancing scientific understanding...

This Project Grant award from the National Science Foundation's (NSF) Engineering Program (CFDA 47.041) supports a collaborative research project led by Emory University to develop an interactive artificial intelligence (AI) teammate system for upskilling mental health workers. The $548,297 award aims to understand how AI can be effectively and ethically integrated into mental health work to address the shortage of skilled workers and improve access to research-supported treatment protocols. The...

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 $543,539 project grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will fund research at Indiana University from May 2022 to April 2027 to investigate conversational user interfaces that support older adults' social well-being. The grantee will employ participatory design methods involving senior organizations and older adults to generate an empirical understanding...