This $155,357 project grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) will fund research to develop automated tools for analyzing over 100,000 historical political advertisements and examine the evolution of political campaign messaging in the United States from 1912 to 2018. Specifically, the researchers at Harvard University will create (1) an automated system to identify issue and other politically relevant content from the ads'...
This Project Grant from the National Science Foundation's Division of Behavioral and Cognitive Sciences, under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075), provides $200,000 to the University of North Carolina at Chapel Hill to support rapid collection of social media data in key election contexts through July 2023. The university will collect social media data from candidates' public accounts and related background characteristics for elections in...
New York University will receive $333,708 from the National Science Foundation under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) for a project grant titled "COLLABORATIVE RESEARCH: SATC: CORE: MEDIUM: METHODS AND TOOLS FOR EFFECTIVE, AUDITABLE, AND INTERPRETABLE ONLINE AD TRANSPARENCY." Over a four year period from May 2022 to April 2026, NYU researchers will map current online advertising transparency mechanisms, develop methodologies to...
This Project Grant award, provided by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program, supports research that examines the impact of land-use and land-cover changes on biodiversity, ecosystem services, and indigenous communities. The $100,972 award to Wesleyan University, with a project period from December 15, 2024 to May 31, 2026, aims to develop novel remote sensing methods using unmanned aerial vehicles (UAVs) to collect...
This federal Project Grant award, with a total funding amount of $240,900, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The award, with an effective date of September 1, 2024 and an ultimate completion date of August 31, 2027, is for a collaborative research project titled "Developing Educational Resources for the Ethical Use of Pervasive Data." The project aims to address the ethical issues...
This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award to Michigan State University (MSU) in the amount of $252,831 supports the development of guidelines for reporting about network data. The project aims to facilitate the collaborative development of these guidelines, which will enable network researchers to describe their data clearly, consistently, and transparently. This will enhance the value of existing network research by...
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 $299,959 EAGER award from the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a project that tests theories of reinforcement to promote high-quality, balanced news and public affairs information on social media. The project team at the University of California, Davis is designing and evaluating two interventions that nudge social media algorithms to improve news and public affairs recommendations. One intervention uses...
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 $899,815 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports the 2024 Cooperative Election Study (CES). The CES is a collaborative research effort involving over 50 university teams across the United States that designs and fields a large, nationally representative survey of at least 50,000 American adults. The survey data collected will measure demographics, opinions, attitudes, and voting behavior in...