Project Grant 2433308
- This Project Grant award of $199,999 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports collaborative research by Arizona State University (ASU) to develop data mining models, algorithms, and tools to optimize team collaboration in hybrid work environments. The key products and services to be delivered under this 3-year award include: (1) modeling raw team collaboration data across multiple communication channels and platforms to...
- The National Science Foundation (NSF) awarded a $377,580 Project Grant through the Computer and Information Science and Engineering (CISE) program to the University of Pittsburgh. The grant, effective June 15, 2025, aims to develop an integrated framework for understanding, predicting, and supporting team situational awareness in multi-human-multi-agent teams operating in uncertain and dynamic environments. The project will focus on identifying optimal information displays to support specialized...
- The National Science Foundation (NSF) awarded a $900,000 Project Grant to Cornell University under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The project, titled "Understanding and Supporting the Effectiveness of Groups Working with Generative AI," aims to investigate how generative AI tools like ChatGPT and Microsoft Copilot affect team dynamics, relationships, and individual well-being in collaborative work settings. Leveraging...
- This $139,660 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant supports research at the College of William and Mary to develop novel online data mining algorithms that can provide transparent and interpretable machine learning models for real-time applications such as crowd movement prediction, disaster monitoring, and pandemic response. Key objectives include: 1)...
- This National Science Foundation (NSF) Project Grant award under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $225,974 to Cornell University to investigate how technological augmentations can enhance the learning and effectiveness of work teams, community groups, classrooms, and other collectives. The research examines the parameters that drive group-directed learning in areas such as cooperative behavior, collective intelligence, and collective creativity. The...
- 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 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...
- 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 federal Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports collaborative research at Columbia University focused on developing incentive-driven algorithms and machine learning tools to improve the quality and representativeness of data used in high-stakes decision-making. The $575,000 award, with a project period from August 1, 2025 to July 31, 2028, aims to design data...
- The National Science Foundation (NSF) awarded a $599,410 Project Grant to Carnegie Mellon University (CMU) to develop a collaborative learning framework for dynamic and diverse computing environments, particularly focused on edge devices. The grant, under NSF's Computer and Information Science and Engineering program (CFDA 47.070), aims to innovate model-parallel collaborative learning by designing unique model architectures and efficient algorithms, facilitate practical on-device training and...
This federal Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports research to develop data mining models, algorithms, and tools to optimize team collaboration in a hybrid work environment. The $400,000 grant, awarded from August 1, 2025 to July 31, 2028, will fund three complementary research tasks: 1) modeling raw team collaboration data across multiple channels and platforms, 2) building predictive models to forecast team performance, and 3) developing algorithms and tools to form and enhance high-performing teams using data-driven and reinforcement learning approaches. This research aims to address the new challenges posed by hybrid work, such as increased communication difficulties, stifled innovation, and collaboration impacts, in order to improve team efficacy and optimize human resource allocation.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $400.0k | 7/31/25 |