Project Grant W911NF261A101

The National Science Foundation (NSF) awarded a $198,688 Project Grant under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program to the University of Notre Dame. The "Collaborative Research: HNDS-R: Advancing Diverse Viable Effective Networked Teams (ADVENT)" project aims to create an open-source computational network model to optimize team formation by integrating functional individual differences and member affinity. The researchers will train and test this model...

This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award of $200,592 to Northwestern University will fund the "Collaborative Research: HNDS-R: Advancing Diverse Viable Effective Networked Teams (ADVENT)" project. The research aims to create an open-source computational network model to optimize team formation by integrating functional individual differences and member affinity. The researchers will train and test this model...

This $349,683 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund the development of an AI coaching system to enhance surgical teamwork in cardiac operating rooms. Led by William Marsh Rice University, the grant supports the design of multimodal sensing hardware, data-driven algorithms, and an interface to model and computationally generate interpretable feedback and interventions improving teamwork. Researchers will develop a...

This $599,744 federal Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports research by Yale University to develop new theory and methods for analyzing, training, and designing complex, high-dimensional multi-agent games and machine learning systems. The key activities under this 3-year award include: Developing optimal uncoupled algorithms for computing and learning equilibria in high-dimensional concave games...

This Project Grant from the National Science Foundation's $389,042 Computer and Information Science and Engineering program will support research at the University of Texas at Austin to develop interaction-aware planning and control techniques for robotic navigation in crowded, dynamic environments. Over a three-year period from September 2022 to August 2025, the university researchers will pursue three goals: first, constructing new algorithms to find approximate equilibrium solutions in...

This Project Grant award from the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $106,000 to the Research Foundation of the City University of New York (RFCUNY) to conduct research on designing smart environments to enhance collective learning and creativity. The key products and services to be delivered under this 3-year award include: Developing large-scale online experiments and computational models to investigate how technological...

The National Science Foundation awarded a $557,806 Faculty Early Career Development (CAREER) Program grant to Lehigh University to conduct research on how the allocation of design tasks between humans and artificial intelligence (AI) agents impacts engineering design outcomes. The 5-year project seeks to develop a systematic approach for defining optimal roles for AI within hybrid human-AI design teams. It will use computational modeling and experiments with a video game platform to assess how...

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 $190,504 National Science Foundation project grant supports the development of novel methodologies for multi-robot coordination grounded in human collaboration. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the awardee Brown University will create an online crowdsourcing application to collect data on how distributed human teams coordinate to complete tightly coupled tasks when constrained to limited information and actions similar to robots....

This $111,999 Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) aims to study the relationship between multiple team membership (MTM) and employee wellbeing. The research team from Utah State University will use a mixed-methods approach, including interviews, experiments, and surveys, to understand how the variety in technology, tasks, and socio-psychological contexts across multiple teams affects the wellbeing of both...