This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $400,000 to The Leland Stanford Junior University to research methods for encoding societal values into social media ranking algorithms. The key goals are to: 1) develop techniques for translating social science constructs into algorithmic objective functions, 2) create a library of societal objective functions based on validated theory, and...
This $404,941 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports research by Northeastern University to develop methods for integrating societal values into social media algorithms. The key products or services to be delivered include: Introducing a novel approach to leverage social science constructs and measurements to build algorithmic objective functions, referred to as...
This $400,000 Project Grant awarded by the National Science Foundation Division of Information and Intelligent Systems under CFDA 47.070 (Computer and Information Science and Engineering) supports collaborative research to develop responsible methods for the design and validation of algorithmic rankers. The key objectives are to: Quantify the impact of item attributes and engineering choices on ranked outcomes to guide the selection of appropriate scoring functions. Quantify the impact of data...
This Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, aims to understand the effects of large language models (LLMs) on the work of online information professionals. The $370,692 award to the University of Washington will fund research to develop an epistemological framework for characterizing the risks posed by LLM-generated content, as well as proactive and reactive approaches to assessing...
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...
This Project Grant award from the National Science Foundation's (NSF) Division of Information and Intelligent Systems (CFDA 47.070 - Computer and Information Science and Engineering) provides $400,000 to New York University (NYU) from September 1, 2023 to August 31, 2027. The project focuses on developing methods to validate and design responsible algorithmic rankers used in critical domains like hiring, education, and lending. Key objectives include: 1) quantifying the impact of input...
The National Science Foundation (NSF) awarded a $400,000 Project Grant to the New Jersey Institute of Technology (NJIT) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The four-year grant, effective from September 1, 2023 to August 31, 2027, supports collaborative research on the responsible design and validation of algorithmic rankers. The project aims to develop methods to: 1) quantify the impact of item attributes and data engineering choices on ranked...
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 award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) to the University of Washington aims to solidify the foundations of ethics in generative artificial intelligence (AI). The $477,192 award, which runs from September 1, 2024 to August 31, 2029, will develop methods for evaluating associations and biases in generative AI systems, assess the societal impact of generative AI, and analyze how it shapes human cognition and...
This $299,977 federal Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop AI-powered approaches to address challenging societal problems in the areas of drought resilience, emissions reduction, and infectious disease response. The overarching goal is to establish theoretical and algorithmic foundations for responsible and equitable AI-powered sequential, collective decision-making. The...