Project Grant N62909131C238

This Project Grant award from the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program funds a $649,851 study to examine family-level factors that contribute to the co-development of "theory of mind" and narrative comprehension skills in early childhood. The research team at The Ohio State University will conduct a longitudinal study testing preschoolers' abilities in these areas at three time points over three years. The project will...

This National Science Foundation (NSF) Division of Social and Economic Science Project Grant award of $234,489 supports collaborative research at New York University (NYU) from September 1, 2023 to August 31, 2026. The primary objectives are to: Conduct a series of experiments to understand how people form subjective causal models based on observed data patterns, and how these models may be influenced by preconceptions triggered by natural contexts. This will provide insights into how economic...

This Project Grant from the National Science Foundation supports research and narrative discovery activities at The Trustees of the Stevens Institute of Technology from October 2021 through September 2024 with $535,950 in funding. The award is made under the Computer and Information Science and Engineering program (CFDA 47.070), which aims to advance computing, communications, and information sciences through investigator-initiated research and cyberinfrastructure development. Specifically,...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) provides $381,276 to the University of California, San Diego (UCSD) to develop next-generation machine reasoning capabilities centered on "world models." The project aims to advance artificial intelligence by systematically incorporating the concept of world models into the design, training, and application of new reasoning models. Key focus areas include:...

The National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program has awarded the University of California, San Diego (UCSD) a $319,541 project grant for "Collaborative Research: Causal Structures: Experiments and Machine Learning." This 3-year research project aims to understand how economic agents develop subjective causal models and narratives to interpret information and make decisions. The researchers will conduct a series of experiments to...

The National Science Foundation awarded a $299,737 Project Grant to The Regents of the University of Colorado under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) for the period of May 1, 2022 through April 30, 2024. The grant funds research to develop techniques for automatically generating engaging stories tailored for preschool-aged children that incorporate target vocabulary words aimed at enriching the children's vocabularies. Specifically, the...

This Project Grant award of $479,995 was made by the National Science Foundation (NSF) Division of Information and Intelligent Systems under the CFDA program "Computer and Information Science and Engineering." The funding supports a collaborative research project between the University of Alabama and the University of Maryland, Baltimore County, in partnership with learning scientists from SRI International. The goal of the project is to develop and test "Story Studio," a...

This $175,000 two-year Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will fund research at the University of Southern California to develop more explainable artificial intelligence agents with common sense capabilities. The grant aims to advance techniques for AI agents to reason in novel situations, complete open-world narratives, and provide commonsense...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $799,999 to the University of Washington provides funding for a 4-year collaborative research project focused on developing tools and methods to leverage large language models (LLMs) in support of divergent, convergent, and cooperative work. The key objectives of the project are to: 1) Develop design guidance and workflows for building more reliable and...

This three-year, $621,352 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop novel natural language processing and artificial intelligence tools to augment scientific writing instruction. Specifically, the University of Massachusetts at Amherst will build machine learning models for fact-checking student writing, knowledge tracing to measure concept mastery over time, and generating narrative progressions associated...