This $389,385 Project Grant award, issued on June 15, 2025 by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop methods and tools to help real-time social media community leaders better facilitate audience engagement and adherence to community norms. The research will involve modeling audience behaviors and creating guidance and intervention mechanisms to encourage participant conduct that aligns with community...
This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) in the amount of $400,001 provides funding for research aimed at understanding and addressing problematic online behaviors, such as cyberbullying, that can negatively impact users' mental health and well-being on social media platforms. The key components of the research include: Developing predictive models for early detection of problematic online behaviors, with a...
This $100,000 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program aims to better understand and address problematic online behaviors that threaten user well-being on social media platforms. The key products and services to be delivered through this 4-year project include: Developing predictive models for early detection of problematic online behaviors, such as cyberbullying, through contextualized annotation of social...
This $400,000 National Science Foundation project grant supports the development of an ethical framework to guide research on online communities. Awarded to the Regents of the University of Minnesota under the Computer and Information Science and Engineering program (CFDA 47.070), the three-year project will engage representatives from five online communities to create actionable guidelines. A team of researchers will follow a participatory process with community members and organizers to...
This $322,812 project grant, awarded by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), supports research to advance the understanding of how people engage with news online and how their behaviors evolve over time. The key products and services to be delivered include: Developing computational models to identify different types of news engagement behaviors and their progression stages, using advanced language and user modeling...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $250,000.00 to the University of Illinois to transform online computer science theory education. The project aims to develop interactive online exercises with instant feedback, adaptive complexity, and culturally responsive contexts to improve student ability, belonging, and confidence, especially for underserved populations. Key planned...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $100,000 to Tulane University to conduct collaborative research on understanding the long-term dynamics of news engagement in online media. The research aims to develop computational models to identify news engagement behaviors and progression stages, establish a framework for estimating causal relationships between engagement behaviors, and...
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...
The National Science Foundation (NSF) awarded a $543,995 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the Regents of the University of Michigan. This 3-year grant, starting on September 1, 2024, aims to develop statistical tools to assess the societal impacts of predictive models and policy recommendations in order to improve social welfare. The technical focus is on leveraging the phenomenon of "performativity", where the predictive...
This Project Grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), provides $300,000 to the Massachusetts Institute of Technology for the period of October 1, 2022 through September 30, 2023. The grant funds research to develop design principles for network-scale applications by analyzing how application design impacts user behavior and societal outcomes. Specifically,...