Project Grant 2419830
Award Date
7/1/24
Completion Date
6/30/26
Dollars Obligated
$125K
Funding Federal Agency
National Science Foundation
Awarding Federal Agency
Division of Computer and Network Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Burlington, VT 05405, USA
Similar Awards
The National Science Foundation awarded a two-year, $220,000 Project Grant to the Research Foundation For The State University Of New York under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support research to develop techniques for detecting accounts involved in influence campaigns on social media platforms. Leveraging its expertise in computational social science, the State University of New York at Binghamton will collaborate with other...
The National Science Foundation awarded Trustees of Boston University a $280,000 project grant under the Computer and Information Science and Engineering program (CFDA 47.070) for work spanning May 1, 2021 to April 30, 2023. The grant funds research titled "COLLABORATIVE RESEARCH: SATC: CORE: SMALL: DETECTING ACCOUNTS INVOLVED IN INFLUENCE CAMPAIGNS ON SOCIAL MEDIA." The Computer and Information Science and Engineering program supports investigator-initiated research and education in...
This Project Grant award, totaling $200,000.00, is funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The award will support a collaborative research project focused on designing secure account management tools and frameworks to improve personal account security and foster safer digital ecosystems for people facing targeted attacks. The key objectives of the research are to: 1) gain a better understanding of the...
This Project Grant award from the National Science Foundation (CFDA 47.075 - Social, Behavioral, and Economic Sciences) to the Regents of the University of Minnesota provides $50,000 in funding to conduct fundamental research on enhancing the trustworthiness and authenticity of online information. The key objectives are to investigate social network structures and communication patterns to develop a framework for helping people find safe, useful, and trustworthy information in cyberspace. This...
This Project Grant award of $100,000 from the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research by Cornell University to improve personal account security. The project aims to: Better understand the experiences of individuals targeted by abusive digital attacks, support professionals, and adversaries through qualitative stakeholder investigations. Catalog existing account management tools and emerging authentication mechanisms,...
This Project Grant award of $250,000 from the National Science Foundation (NSF) Division of Social and Economic Science was provided to the Massachusetts Institute of Technology (MIT) to conduct research exploring methods for signaling to human users when a video has been manipulated or entirely constructed using deepfake technology. The key products and services to be delivered under this 3-year grant include: Assessing the effectiveness of three different methods for visually alerting users...
The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program awarded a $112,610 project grant to The University of Texas at El Paso (UTEP) for the project "CRII: SATC: A Framework to Defend Against Sockpuppet Connection Requests in Social Networks." This project, funded under the American Rescue Plan Act of 2021, aims to develop a digital framework rooted in cognitive psychology, UX research, and machine learning to help protect social network...
This $600,000 Project Grant was awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The project aims to advance the fundamental research on detecting AI-generated fake images by focusing on understanding the generalization capabilities of fake image detectors. Specifically, the project will investigate two main thrusts: (1) understanding the characteristics that make AI-generated images fake, including the role of...
This Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to better understand and address problematic online behaviors and their impact on user well-being in social media. The $399,988 award, effective June 15, 2025 through May 31, 2029, will support research focused on three core objectives: Developing predictive models for early detection of problematic online behaviors and assessing their...
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...