Project Grant 2545541
- Federal Grant Award Summary New York University received a $763,741 collaborative research project grant from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective September 1, 2025, through August 31, 2029. The grant supports research investigating the misalignment between how humans and artificial intelligence (AI) language models process language, specifically...
- Federal Grant Award Summary New York University received a $209,649 Project Grant from the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070), effective October 1, 2025, through July 31, 2027. This CAREER award, funded in part under the American Rescue Plan Act of 2021, supports the development of artificial intelligence (AI) systems capable of flexible and robust reasoning in natural language processing. The research addresses...
- Federal Grant Award Summary New York University received a $397,458 Project Grant from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049 – Mathematical and Physical Sciences program) effective September 1, 2026, through August 31, 2029. The project will develop stable mathematical formulations and numerical discretization methods for loss functions used in generative artificial intelligence (AI) models that simulate time-dependent stochastic processes. The research...
- Federal Grant Award Summary New York University received a $299,903 Project Grant from the National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041), effective August 1, 2025 through July 31, 2028. The award supports research and development of DigitizedNYC, a large-scale four-dimensional (4D) digital twin of New York City designed to serve as a shared cyberinfrastructure platform for testing, validating, and...
- Federal Grant Award Summary New York University received a $347,549 CAREER award from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CFDA 47.070) program, effective September 1, 2025, through August 31, 2030. This project grant supports the development of interactive language systems that critically reason about textual sources to provide high-quality, current information to users. The research...
- Federal Grant Award Summary New York University received a $100,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), awarded on August 15, 2025, with a completion date of July 31, 2028. This collaborative research project will develop statistical modeling and inference methodologies for analyzing directed network data, with a specific application to understanding faculty hiring dynamics...
- Federal Project Grant Award Summary New York University received a $300,000 Project Grant from the National Science Foundation's (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on October 1, 2025, with completion targeted for July 31, 2028. This collaborative research initiative develops evaluation concepts and technological methodologies for assessing and improving Large Language Model (LLM) systems....
- Federal Project Grant Award Summary Award Details: New York University received a $225,000 Project Grant from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) program, effective September 1, 2025 through August 31, 2028. This collaborative research initiative addresses the Hadamard Conjecture, a longstanding open problem in mathematics with applications in quantum error correction, communication systems, and coding...
- Federal Grant Award Summary New York University received a $714,230 Project Grant from the National Science Foundation's Office of Integrative Activities under the Geosciences program (CFDA 47.050) effective October 1, 2025, with completion targeted for September 30, 2028. The award supports collaborative research to develop the first multiscale artificial intelligence (AI) ocean emulator capable of spanning submesoscales to large-scale ocean flows. The primary deliverable is a three-dimensional...
- Federal Project Grant Award Summary New York University received a $699,966 Project Grant from the National Science Foundation (NSF) Division of Materials Research under the Mathematical and Physical Sciences program (CFDA 47.049) effective September 1, 2025, through August 31, 2029. This research award supports fundamental scientific investigation into non-equilibrium statistical mechanics, with the objective of developing organizational principles and quantitative tools for understanding...
New York University received a $913,250 Project Grant from the National Science Foundation's Office of Multidisciplinary Activities under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), effective July 1, 2026 through June 30, 2029. The project, "Physical Reasoning in Humans and Machines," delivers research and developmental products designed to understand how humans intuitively reason about physical phenomena and to advance artificial intelligence (AI) systems capable of similar reasoning. Primary deliverables include comparative empirical research data on human and machine performance in physics-based reasoning tasks, a custom physics simulator capable of modeling varied physical systems, and analytical findings documenting the representational commitments underlying both human cognition and machine learning approaches. The research employs human participant studies and AI evaluation protocols using identical reasoning tasks to identify underlying cognitive strategies. The project generates open-source tools and datasets freely accessible to the broader research community, including physics engines, data analysis protocols, and research datasets. These products advance fundamental knowledge in cognitive science and AI while supporting the National Science Foundation's strategic priorities in AI research and human intelligence studies. The interdisciplinary research design fosters workforce development at the cognitive science-AI frontier, positioning the work to inform next-generation AI system design and evaluation methodologies across academic and applied research domains.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $913.3k | 5/18/26 |