Project Grant 2621428
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences awarded $499,988 to the University of Miami on July 1, 2026, under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) for collaborative research titled "Phase I CAMEL-CN: ALTA-CN: AI-Powered Learning by Teaching for Algebraic Reasoning Through Collaborative Networks." The project, which runs through June 30, 2029, will create research-ready datasets...
- Federal Grant Award Summary Florida State University's Sponsored Research Administration Division received a $374,823 Project Grant award effective July 1, 2026, through June 30, 2031, from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070). The award funds research and educational activities centered on scalable and resilient collaborative inference for edge intelligence through...
- Federal Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded a five-year CAREER grant totaling $301,560 to Florida State University (effective October 1, 2026 through September 30, 2031) under the Computer and Information Science and Engineering program (CFDA 47.070). The project develops the Large Number Model (LNM), a hybrid neural-symbolic artificial intelligence system designed to reliably process complex numerical and structured...
- Federal Grant Award Summary Florida State University's Sponsored Research Administration Division received a $315,000 Project Grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041), effective September 1, 2025 through August 31, 2028. This collaborative research project will develop an intelligent system for detecting manufacturing anomalies in zero-shot learning settings by leveraging textual and...
- Federal Grant Award Summary Florida State University's Sponsored Research Administration Division received a $249,013 Project Grant award from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049) effective August 1, 2026, with a completion date of July 31, 2029. This collaborative research project develops mathematical and computational tools to accelerate optimal transport-based comparisons for complex data analysis. The core deliverable is the creation of...
- Federal Grant Award Summary Florida State University received a $200,000 Project Grant from the National Science Foundation's Division of Computer and Network Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), awarded October 1, 2025, with a completion date of September 30, 2028. This collaborative research initiative focuses on developing a comprehensive framework to enhance the adversarial robustness of deep learning models used in...
- Federal Project Grant Award Summary Award Details: Florida State University received a $600,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) awarded January 1, 2026, with completion targeted for December 31, 2028. The grant supports the development of a security-focused framework to protect collaborative scientific computing in Machine Learning as a Service (MLaaS) environments, addressing critical vulnerabilities...
- Federal Project Grant Award Summary The Pennsylvania State University received a $1.5M Project Grant from the National Science Foundation's Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), awarded July 1, 2026, with completion targeted for June 30, 2029. This Phase I project, titled "CAMEL-CN: Modeling the Messy," delivers a comprehensive framework and dataset for integrating authentic, real-world industrial...
- Federal Grant Award Summary The National Science Foundation (NSF), Division of Behavioral and Cognitive Sciences, awarded the University of Delaware a $235,384 Project Grant (CFDA 47.075: Social, Behavioral, and Economic Sciences) effective July 1, 2026 through June 30, 2028. This Phase I collaborative research project, titled "CAMEL-CN: From Errors to Outcomes," develops artificial intelligence (AI)-enabled assessment tools to analyze student mathematical problem-solving processes and...
- Federal Project Grant Award Summary The Strategic Education Research Partnership Institute received $316,500 in federal funding from the National Science Foundation's Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) for a Phase I collaborative research project awarded on July 1, 2026, with completion scheduled for June 30, 2028. This project, titled "From Errors to Outcomes—Indicators of Procedural and Conceptual...
Florida State University's Sponsored Research Administration Division received a $1.509 million Project Grant from the National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), awarded July 1, 2026, with completion expected June 30, 2029. This Phase I award funds the Collaboratory to Advance Mathematics Education, Artificial Intelligence, and Learning for Comprehensive Integrated Networks (CAMEL-CN) initiative, formally titled "Building Integrated Data for Education, AI, and Learning to Support K-12 Mathematics Research and Practice" (IDEAL-Math). The project integrates six existing datasets comprising 90,000 elementary school students and 3,000 teachers into a harmonized, artificial intelligence-ready dataset focused on mathematical learning, specifically numerosity and mathematical operations. FSU will collaborate with an interdisciplinary team of learning scientists, data scientists, AI/machine learning researchers, and educational practitioners to curate and document the integrated dataset and increase broader access for mathematics education research and applications. The dataset incorporates student and teacher surveys, assessments, classroom videos, and student think-aloud videos, capturing information on teacher professional development, teacher mathematics knowledge, instructional practices, classroom environment, student mathematics attitudes, and student mathematics achievement and strategies. The deliverable is an accessible, integrated dataset grounded in an evidence-based model of factors influencing K-12 mathematics achievement.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.5m | 6/22/26 |