Project Grant 2544659
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded William Marsh Rice University (Rice University) $669,852 on August 1, 2026, under the CAREER (Faculty Early Career Development Program) award mechanism to develop physics-informed, data-driven frameworks for the predictive design of blended cement concrete systems. The research will build a large-scale, open-access data infrastructure through automated literature mining and guided experiments;...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded William Marsh Rice University $599,581 on July 1, 2026, to develop physics-informed machine learning methods for evaluating how flood and stormwater infrastructure portfolios perform as integrated systems under realistic storm conditions. This is a Faculty Early Career Development Program (CAREER) Project Grant under the Engineering program (CFDA 47.041). The recipient will develop computational...
- 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 National Science Foundation Division of Computer and Network Systems awarded The Trustees of The Stevens Institute of Technology $657,779 on May 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to establish scientific foundations of human-physical interaction and interaction-driven coadaptation within human-cyber-physical systems (HCPS). The project formalizes interaction-driven coadaptation between humans and civil infrastructure systems including...
- The National Science Foundation Office of Advanced Cyberinfrastructure awarded Earthscope Consortium Inc. (operating as Iris) $224,724 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop and deploy open-source cyberinfrastructure that integrates geophysical sensor data, satellite imagery, meteorological observations, and groundwater measurements with numerical simulations and artificial intelligence to create continuously updating...
- The National Science Foundation Division of Information and Intelligent Systems awarded the University of Houston $293,442 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop methods enabling distributed edge devices to form ad-hoc computing teams and solve complex tasks without cloud infrastructure dependency. The research addresses reliability of smart devices such as sensors, phones, and small robots when cloud connections fail due...
- This five-year, $492,055 project grant from the National Science Foundation's Office of Advanced Cyberinfrastructure, under the Computer and Information Science and Engineering program (CFDA 47.070), will fund research and education activities at the University of Texas at El Paso to enhance critical infrastructure resiliency. Specifically, the university will develop overhead-aware provenance frameworks to incorporate implicit resiliency and assure trustworthiness in operational technology...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded The Trustees of The Stevens Institute of Technology $545,650 on September 1, 2026, under the Faculty Early Career Development (CAREER) program to model trust dynamics and system adaptation for human-AI collaboration in engineering design. The project develops empirical datasets and computational inference models that estimate trust as a continuous, time-varying state variable from synchronized...
- The National Science Foundation (NSF) awarded a $6,999,294 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of Texas at Austin for the CHISHIKI.AI initiative. This 5-year project aims to build a sustainable, diverse, and integrated community of computational infrastructure (CI) professionals working at the intersection of artificial intelligence (AI) and civil/environmental engineering (CEE). The project will foster collaboration between...
- The National Science Foundation awarded a $2.496 million project grant to Case Western Reserve University's Office of Research Administration Division for a five-year collaborative research project under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The University will create and sustain a cohort of Cyberinfrastructure Professionals to support researchers in leveraging modern artificial intelligence and machine learning techniques across diverse fields...
The National Science Foundation Office of Advanced Cyberinfrastructure awarded the University of Houston $300,000 on September 1, 2026, under the CAREER program to develop BRACE-CI (Building Resilience Through Human-AI Co-Engineering Cyberinfrastructure), a faculty early career development project funded through the Computer and Information Science and Engineering program (CFDA 47.070). BRACE-CI creates an open cyberinfrastructure platform that integrates human engineering judgment with artificial intelligence to transform the design and assessment of civil infrastructure. The project addresses fragmented engineering workflows and disconnected information across researchers and stakeholders by developing master builder agents—AI systems that assist engineers in inspection, design, analysis, and coordination tasks while preserving human oversight. The work is organized around three connected thrusts. CO-INSPECT creates realistic virtual worlds for civil infrastructure and uses AI assistance to support rapid, explainable, and more complete assessments. CO-DESIGN establishes a multidisciplinary design environment enabling architects, engineers, and builders to examine coordinated building options. The platform helps engineers assess structures more rapidly and comprehensively, explore integrated design options from concept through detailed design, and make better decisions about safety, resilience, cost, and resource efficiency. The project also prepares students and professionals to use human-aligned engineering AI responsibly in safety-critical settings through open educational and research resources and outreach activities. Performance occurs in Houston, Texas from September 1, 2026 through August 31, 2031.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 7/27/26 |