This $150,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will support the development of foundational principles, algorithms, and tools for causal decision-making systems. Researchers at Columbia University will enrich traditional artificial intelligence formalism with causal modeling to enable more efficient, robust, and explainable decision-making by autonomous systems. Key deliverables include integrating...
This $325,925 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of a computational framework for addressing data challenges related to fairness in machine learning. The project aims to integrate "model-centric" and "data-centric" approaches to enhance the generalizability, trustworthiness, and fairness of machine learning algorithms, particularly in...
This $462,500 Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070), supports the development of advanced causal inference methods for data-driven decision making. Key products and services to be delivered include: Automated and robust causal AI systems that integrate machine learning and causal inference techniques to enable more decision-makers to leverage causal analysis. The project will...
The National Science Foundation Division of Information and Intelligent Systems awarded Yale University $550,000.00 under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) for the project "CAREER: FROM FAIRNESS TO JUSTICE IN AI SYSTEMS" from October 1, 2021 to September 30, 2026. This five-year project grant will support Yale University's investigator-initiated research and education efforts aimed at advancing the development of fair, just and...
Carnegie Mellon University was awarded a $391,000 Project Grant from the National Science Foundation Division of Information and Intelligent Systems. The grant is part of the Computer and Information Science and Engineering federal grant program (CFDA 47.070) and will fund the "FAI: FAIR AI IN PUBLIC POLICY - ACHIEVING FAIR SOCIETAL OUTCOMES IN ML APPLICATIONS TO EDUCATION, CRIMINAL JUSTICE, AND HEALTH AND HUMAN SERVICES" project from April 1, 2021 through March 31, 2024. Under this...
The Trustees of the University of Pennsylvania received a $392,992 Project Grant from the National Science Foundation Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support research and education activities aimed at developing machine learning techniques that break through the fairness-accuracy tradeoff paradigm. Specifically, the university researchers will draw on ideas from learning theory and...
This federal Project Grant award of $164,940 was provided by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to Emory University in Atlanta, Georgia. The funding supports research to investigate challenges around ensuring fairness in artificial intelligence (AI) algorithms under real-world conditions involving distribution shifts, privacy constraints, and robustness to bias amplification attacks. Key expected outcomes include:...
This three-year, $292,993 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop fair algorithms for auctions, pricing, and marketing mediated by artificial intelligence. The grantee, Columbia University, will design new theoretical frameworks and AI algorithms to ensure consumers from protected groups are not harmfully discriminated against in advertising auctions, ride-sharing and loan pricing, and targeted social media...
The National Science Foundation Division of Information and Intelligent Systems awarded a $399,923 project grant to The Johns Hopkins University from September 2021 through August 2024. This funding supports research titled "CAUSAL AND SEMI-PARAMETRIC INFERENCE FOR EXPLANATIONS OF DISPARITIES AND DISPARITY-CORRECTING MODELING" under the NSF's Computer and Information Science and Engineering program (CFDA 47.070). The goal of this project grant is to advance the development of causal...
The Trustees of Columbia University in New York City received a $499,756 Project Grant award from the National Science Foundation Division of Information and Intelligent Systems. The grant is part of the NSF's Computer and Information Science and Engineering program (CFDA #47.070) to support investigator-initiated research and education across computing, communications, and information science and engineering fields. Specifically, the October 1, 2021 award will fund research into "New...