Project Grant 2107524
Award Date
10/1/21
Completion Date
9/30/25
Dollars Obligated
$452K
Federal Agency
Division of Information and Intelligent Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Austin, TX 78759, USA
Similar Awards
This $348,757 federal Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports research at the University of Texas at Austin (UT Austin) to develop new methods for measuring social and emotional understanding in artificial intelligence (AI) language models, such as those used in AI chatbots. The research aims to define reasoning tasks and generate benchmark datasets to assess AI capabilities in areas like predicting...
The University of Texas at Austin was awarded a $287,988 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program. The grant, titled "CAREER: HAYARUPU: Accelerating Natural Hazard Engineering with AI-Driven Discovery Loops", aims to accelerate advancements in engineering and scientific research through the use of artificial intelligence (AI). The project will develop an AI-accelerated scientific discovery framework...
The University of Texas at Austin received a $390,536 Project Grant award from the National Science Foundation Division of Behavioral and Cognitive Sciences on September 1, 2021 to complete the project by February 28, 2025. The grant is funded through the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075), which aims to support basic research and education in these fields as well as monitor science resources. Specifically, the University will conduct an artificial language...
The University of Texas at Austin received a $525,000 project grant award from the National Science Foundation Division of Information and Intelligent Systems. The award is part of the Computer and Information Science and Engineering program (CFDA 47.070) and will support research on "Movement as a Vital Sign in Preterm Infants" from October 1, 2021 through September 30, 2025. As part of the Computer and Information Science and Engineering program's goal of advancing computing and...
The University of Texas at Austin received a $556,306 project grant award from the National Science Foundation Office of Advanced Cyberinfrastructure to support the ELEMENTS: COGNITASIUM project. Funded through the NSF's Computer and Information Science and Engineering program (CFDA 47.070), this three-year award will enable data-driven discoveries in natural hazards engineering through the development of advanced computing infrastructure and tools. The grant will support...
The University of Texas at Austin received a $1,278,970 project grant award from the National Science Foundation Office of Advanced Cyberinfrastructure to support research titled "COLLABORATIVE RESEARCH: FRAMEWORKS: CONVERGENCE OF BAYESIAN INVERSE METHODS AND SCIENTIFIC MACHINE LEARNING IN EARTH SYSTEM MODELS THROUGH UNIVERSAL DIFFERENTIABLE PROGRAMMING" from August 1, 2021 through July 31, 2025. The grant is part of the NSF's Computer and Information Science and Engineering program...
The University of Texas at Austin received a $175,000 Project Grant award from the National Science Foundation Division of Information and Intelligent Systems. The award is part of the NSF's Computer and Information Science and Engineering program (CFDA 47.070) and will fund research using linguistic variation to understand deep neural models of language from July 1, 2021 to June 30, 2023. As part of the grant, the University will conduct investigator-initiated research exploring how...
The University of Texas at Austin was awarded a three-year, $725,673 Project Grant from the National Science Foundation's Social, Behavioral and Economic Sciences program (CFDA 47.075). The grant will fund research understanding task- and resting-state neural activation in relation to real-world social behavior through May 2024. As part of the SBE Sciences program, which supports basic research and education in social, behavioral and economic sciences, this project aims to contribute insights on...
The University of Texas at Dallas (UTD) received a $185,202 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program grant to develop advanced natural language processing and information extraction methods to construct comprehensive event knowledge graphs from long, complex documents. The goal is to enable more effective tracking and understanding of rapidly evolving real-world events by transforming large volumes of text into structured knowledge...
The National Science Foundation awarded a $503,918 Project Grant under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to Princeton University for the period of April 15, 2021 through March 31, 2023. The grant supports collaborative research among Princeton University, Rutgers University, and Texas A&M University to study responses to complex disruptive events from a cognitive and socio-political context. Under the award, the researchers will conduct household surveys,...