The National Science Foundation Division of Information and Intelligent Systems awarded a $308,919 Project Grant to Tulane University from January 1, 2022 to December 31, 2024. The grant supports research titled "MECHANISMS AND ALGORITHMS FOR IMPROVING PEER SELECTION" under the Computer and Information Science and Engineering program (CFDA 47.070). This program aims to advance computing and information sciences through investigator-initiated research and education, as well as...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $100,000 to Tulane University to conduct collaborative research on understanding the long-term dynamics of news engagement in online media. The research aims to develop computational models to identify news engagement behaviors and progression stages, establish a framework for estimating causal relationships between engagement behaviors, and...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, with CFDA number 47.070, provides $596,140 to Tulane University to enhance the infrastructure for studying software and its evolution at an ultra-large scale. The project, titled "COLLABORATIVE RESEARCH: CCRI: ENS: BOA 2.0: ENHANCING INFRASTRUCTURE FOR STUDYING SOFTWARE AND ITS EVOLUTION AT A LARGE SCALE", aims to develop the BOA 2.0 programming...
This Project Grant award of $133,590 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) aims to increase transparency in the juvenile justice system's use of risk assessment scores. The award recipient, Old Dominion University Research Foundation (Odurf), will develop automated, computer-generated explanations for these risk scores to help youth, families, judges, and probation officers better understand how...
The National Science Foundation Division of Information and Intelligent Systems awarded a $249,775 project grant to Tulane University from October 1, 2021 to September 30, 2024 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports collaborative research titled "Fair Recommendation Through Social Choice" that aims to advance the development and use of research cyberinfrastructure to enable and accelerate discovery and innovation in all...
The National Science Foundation Division of Information and Intelligent Systems awarded a $180,000 two-year Project Grant to Tulane University under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support Tulane University's research project "EAGER: Scalable, Content-Based, Domain-Agnostic Search of Scientific Data Through Concise Topological Representations." The project aims to develop techniques for searching large scientific datasets in...
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...
The National Science Foundation Division of Social and Economic Science awarded New York University a $545,000 Project Grant from October 1, 2021 to September 30, 2024 under the Computer and Information Science and Engineering program (CFDA 47.070). This funding supports collaborative research on agent-based modeling at the boundary of law and software. The Computer and Information Science and Engineering program aims to advance computing and information sciences research and education. This...
This $2,228,505 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 cloud-based, open, and collaborative cyberinfrastructure to enable data-driven exploration and modeling of urban data. The project aims to address two critical obstacles in urban computing: the lack of robust, well-engineered tools and open computing platforms, and the dispersed community of cross-disciplinary...
This $250,004 Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) to The Administrators of the Tulane Educational Fund (Tulane University) will fund the development of a novel machine learning-based nanoinformatics framework. The key goals are to: 1) Automate the digitalization of nanostructures, 2) Enhance interpretability of deep learning predictive models, 3) Create a cross-modal deep hashing network for fast and accurate...