Project Grant 2539398
- Federal Grant Award Summary The University of Southern California received a $2.06 million Project Grant award 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, 2031. This Collaborative Research on Computational Neuroscience (CRCNS) initiative will produce a large-scale functional magnetic resonance imaging (fMRI) dataset capturing brain activity during...
- Federal Project Grant Award Summary The University of Southern California received a $310,000 Project Grant award from the National Science Foundation's Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), effective October 1, 2025, through September 30, 2028. This award supports research into the theoretical foundations of NeuroAI, a brain-inspired artificial intelligence approach motivated by biological neuronal network...
- Federal Grant Award Summary The University of Southern California received a $741,148 CAREER award 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, 2031. This project grant funds research investigating how the human brain determines whether surprising outcomes reflect genuine changes in the world or random noise—a process termed "uncertainty...
- Federal Grant Award Summary The University of Southern California received a $1.2 million Project Grant from the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070), effective August 1, 2025 through July 31, 2028. The award funds research on "Latent Representation Learning for Verifiable Sensor-Rich Systems," which develops algorithmic frameworks to enable safe and reliable deployment of artificial intelligence...
- Federal Project Grant Award Summary The National Science Foundation's Division of Behavioral and Cognitive Sciences (Social, Behavioral, and Economic Sciences program, CFDA 47.075) awarded the University of Southern California $698,115 on September 1, 2025, for a three-year project investigating how novel social interactions affect cognitive function in older adults. The primary deliverables include empirical research findings on the effects of brief social activities—such as storytelling,...
- Federal Project Grant Award Summary The National Science Foundation awarded $320,000 under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to the University of Southern California to conduct research on the psycholinguistics of grammatical properties encoded on noun class prefixes. The award, issued on August 15, 2025, with completion targeted for July 31, 2028, will produce two primary deliverables: innovative experimental tools and methodologies for investigating speaker...
- Federal Grant Award Summary The University of Southern California received a $411,682 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations under the Computer and Information Science and Engineering program (CFDA 47.070), effective October 1, 2025, through September 30, 2027. This collaborative research initiative focuses on developing memory-efficient algorithms and specialized hardware for spiking neural networks (SNNs) designed for edge...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded the University of Southern California $499,637 under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on June 15, 2025, to establish a Research Experience for Undergraduates (REU) Site focused on artificial intelligence. This project grant, scheduled for completion by May 31, 2028, will engage 10 undergraduate students per summer in...
- Federal Project Grant Award Summary The University of Southern California received an $850,000 Project Grant awarded October 1, 2025, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), administered by the National Science Foundation's Division of Information and Intelligent Systems. The project, titled "Language-Guided Haptic Texture Modeling and Signal Generation," will develop tools and methodologies to democratize the creation of haptic...
- Federal Grant Award Summary The National Science Foundation (NSF) Office of Multidisciplinary Activities awarded $625,596 to Washington University under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) on August 1, 2026, for a three-year research project investigating cognitive mechanisms underlying human language structure and processing. The core deliverable is empirical research examining how human cognition represents and processes fixed ordering preferences in...
The University of Southern California received a Project Grant award of $296,591 from the National Science Foundation (NSF) Office of Multidisciplinary Activities under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), effective July 1, 2026 through June 30, 2029. This project, titled "ComPCog: Modeling Cognitive Mechanisms of Sound Patterns in Human Language," investigates the cognitive mechanisms that enable rapid human language acquisition, specifically focusing on how individuals learn structured language sound systems. The research integrates behavioral experiments, computational modeling, and meta-analytic synthesis of published literature to identify innate preferences and inductive biases that guide language learners. The deliverables include high-powered replications of existing research using rigorous experimental designs, novel experimental manipulations to isolate specific mechanisms underlying language learning biases, and development of an open-access database to centralize and sustain evidence in the field. Additionally, the project leverages speech-trained neural networks to model what is learnable from speech signals using domain-general learning approaches, with comparative analysis to human language acquisition results. The research further aims to enhance artificial intelligence systems by incorporating empirically-demonstrated human inductive biases into AI models to improve data and energy efficiency. No sub-awards are planned for this project.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $296.6k | 6/30/26 |