Project Grant 2134857
Award Date 1/1/22
Completion Date 12/31/24
Dollars Obligated $309K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
New Orleans, LA 70118, USA
Similar Awards
- 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 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 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award totaling $1,299,743 provides funding to Tulane University from October 1, 2024 to September 30, 2027. The project aims to enhance transparency and accountability within the criminal legal system in New Orleans by developing a comprehensive, community-driven data dashboard and analysis toolkit. The university will partner with Court Watch NOLA and experts in...
- 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...
- The National Science Foundation (NSF) awarded the University of Tulsa a $174,946 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program. The grant, awarded on May 1, 2024, supports a 2-year research project titled "CRII: SATC: THE RIGHT TO BE FORGOTTEN IN FOLLOW-UPS OF MACHINE LEARNING: WHEN PRIVACY MEETS EXPLANATION AND EFFICIENCY." The project aims to develop algorithms that guarantee users' right to delete their data from machine...
- This $139,408 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program supports research on the communication cost of distributed algorithms. The University of Iowa, the grant recipient, will focus on developing efficient distributed algorithms, with the aim of improving the performance of distributed computing applications like peer-to-peer networks and wireless sensor networks. Key efforts include designing...
- Federal Grant Award Summary Tulane University received a $199,626 Project Grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049), effective August 1, 2025 through July 31, 2028. The award supports the development of mathematical frameworks and methodologies for analyzing complex, high-dimensional data through multiscale random matrices (MRMs). The research team will advance asymptotic theory in random matrix statistics, create graph-based analytical...
- 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...
- This Project Grant award of $180,803 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support research into enabling the reuse, replacement, and independent evolution of deep neural network (DNN) modules. The research aims to address key challenges in the software engineering of DNN-based systems, such as explainability, scalability, and correctness. Specifically, the project will investigate approaches to systematically...