This Project Grant from the National Science Foundation (NSF) Office of Integrative Activities, under the Integrative Activities program (CFDA 47.083), provides $750,000 to the University of Wisconsin-Madison for the period October 1, 2021 through September 30, 2022. The grant supports the development of machine learning, data mining, and network science models to aid fact-checkers in identifying and intervening on misinformation and disinformation. Subawards of $250,000 each will be provided to...
This $750,000 National Science Foundation project grant under the Integrative Activities program aims to develop a disinformation training range to improve user awareness and resilience. Awarded October 1, 2021 for a one-year period, the grant supports The Research Foundation For The State University Of New York to lead the effort in partnership with the University of Illinois, Northeastern University, Clemson University, and Lehigh University. The partners will create an online platform...
The National Science Foundation awarded a $217,000 project grant under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to the University of North Carolina at Charlotte. The grant supports a collaborative research project to enhance information integrity and combat misinformation in the digital age. The key products and services to be delivered include: Analyzing and identifying social norm emergence and tipping points in public dialogue on controversial issues. Uncovering...
The University of Southern California was awarded a $500,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) to develop a novel machine learning framework for combating misinformation. Over a three-year period ending in October 2025, the University will pursue three research thrusts to advance understanding of misinformation propagation patterns, detect coordinated behaviors among bad actors, and identify causal...
The National Science Foundation (NSF) awarded a $749,222 Project Grant to the George Washington University under the Integrative Activities federal grant program (CFDA 47.083) from October 1, 2021 to September 30, 2022. The grant funds the NSF Convergence Accelerator Track F project to address misinformation and online abuse/harassment by building trust in communication systems. The George Washington University will leverage the grant to develop solutions that enhance integrity and safety in...
This $195,213 Project Grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program will fund the University of Southern California's investigation of misinformation beliefs expressed and spread online from September 2021 through August 2022. A sub-award of $TBD will support related research efforts at the University of California, Los Angeles. The goal of the NSF's Social, Behavioral, and Economic Sciences program is to support basic research that contributes to...
This National Science Foundation (NSF) Engineering Program (CFDA 47.041) project grant award of $600,000 to The Ohio State University aims to establish an intellectual foundation for building a real-time, crowd-sourced geospatial digital twin (GDT). The project will develop novel approaches for ensuring timely, truthful, and unbiased data collection from the community to update GDTs, which provide digital models of physical environments for applications like monitoring, maintenance, and...
This $264,077 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) supports early-stage interdisciplinary collaboration to design trustworthy and transparent information platforms. The University of Washington leads the effort to advance the development of research cyberinfrastructure enabling accelerated discovery and innovation in computing, communications, and information science. Virginia Polytechnic Institute & State...
This $505,017 Project Grant award from the National Science Foundation (NSF) Division of Computer and Network Systems (CFDA 47.070) aims to develop an open-source software suite to enable the rapid collection, management, and analysis of social media data. The goal is to help identify and mitigate information manipulation, such as misinformation and disinformation, on social media platforms. Key components of the project include: Developing a full-featured crawler construction toolkit to support...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) Project Grant award to Trustees of Boston University totaling $225,669 supports the development of a production-ready, open-source software suite to enable rapid collection, management, and analysis of social media data for identifying and mitigating information manipulation (misinformation and disinformation) on social media. The key products and services to be delivered through this 4-year...