Project Grant 2223507

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 in learning environments. The investigator aims to advance understanding of collaboration, personal interactions, and emergent group behaviors through computational analysis of nonverbal cues, emotions, and influences among meeting participants. Students will gain skills in these methods to study teaching and learning contexts, sensory disabilities, and cross-cultural interactions. Outcomes may inform assessment of classroom and strategic decision-making environments. The Research Foundation for the State University of New York serves as awardee and administrator of the funding.