Project Grant 2624050
- The National Science Foundation Office of Advanced Cyberinfrastructure awarded The University of Chicago $117,999 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to establish technical foundations for trustworthy agentic science in materials research. The project, titled "AGENTIC FAIR: Context, Skills, and Benchmarks for Trustworthy, Reproducible Materials Research," addresses fragmentation in AI-enabled materials workflows by...
- The National Science Foundation Office of Advanced Cyberinfrastructure awarded Purdue University $120,500 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to establish technical foundations for trustworthy agentic science in materials research. The project, titled "AGENTIC FAIR: Context, Skills, and Benchmarks for Trustworthy, Reproducible Materials Research," will develop three coupled technical elements to address fragmentation...
- The National Science Foundation Office of Advanced Cyberinfrastructure awarded The Research Foundation for the State University of New York $120,500 on October 1, 2026, for disciplinary improvements in agentic materials research under the Computer and Information Science and Engineering program (CFDA 47.070). The project will establish technical foundations for trustworthy agentic science in materials research by developing three coupled elements: machine-actionable context specifications that...
- The National Science Foundation Office of Advanced Cyberinfrastructure awarded Duke University $120,498 on October 1, 2026, under the Computer and Information Science and Engineering program to establish technical foundations for trustworthy agentic science in materials research. The award funds three integrated research elements: machine-actionable context specifications that capture entities, provenance, life-cycle stages, governance constraints, and repository expectations needed for reliable...
- The National Science Foundation Division of Computing and Communication Foundations awarded The Johns Hopkins University $357,069 on August 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop interpretable artificial intelligence systems that help researchers identify cross-cutting connections across the scientific literature and accelerate discovery. The project creates large language model-based frameworks designed to recognize structural...
- The Johns Hopkins University was awarded a $1.3 million Project Grant from the National Science Foundation Office of Advanced Cyberinfrastructure under the federal Computer and Information Science and Engineering grant program (CFDA 47.070) to develop the DATA CI PILOT: VARIMAT STREAMING POLYSTORE INTEGRATION OF VARIED EXPERIMENTAL MATERIALS DATA project from October 1, 2021 to September 30, 2023. Under the award, Johns Hopkins will advance data science and instrument streaming goals through...
- The National Science Foundation Division of Information and Intelligent Systems awarded The Johns Hopkins University $447,317 on October 1, 2025, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop novel algorithms for extracting causal relationships from diverse, unstructured datasets. The research addresses a gap in machine learning where existing causal discovery methods rely heavily on interventional data from controlled trials, limiting their...
- The National Science Foundation awarded The Johns Hopkins University a $5 million cooperative agreement on August 1, 2026, under the NSF Technology, Innovation, and Partnerships program to develop the AI for Materials Design Network (AIMD-Net), a national test bed of programmable cloud laboratories combining automated robotic experimentation with distributed artificial intelligence. AIMD-Net addresses the challenge of scaling autonomy from individual instruments and laboratories to achieve...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded The Johns Hopkins University $520,028 on October 1, 2026, under the Engineering program (CFDA 47.041) for research developing mathematical foundations that integrate machine learning with discrete optimization algorithms. The research investigates the fundamental interplay between mixed-integer optimization, discrete geometry, and machine learning. The project will develop new mathematical tools...
- The National Science Foundation Division of Computing and Communication Foundations awarded The Johns Hopkins University $362,815 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to support research on structural and algorithmic foundations of variational inequalities in machine learning. The project develops foundational theory and scalable algorithms for systems with multiple interacting objectives, addressing gaps between existing...
The National Science Foundation Office of Advanced Cyberinfrastructure awarded The Johns Hopkins University $120,500 on October 1, 2026, for the collaborative research project "Agentic Fair: Context, Skills, and Benchmarks for Trustworthy, Reproducible Materials Research" under the Computer and Information Science and Engineering program (CFDA 47.070). The project establishes technical foundations for trustworthy agentic science in materials research through three coupled elements: machine-actionable context specifications that capture entities, provenance, life-cycle stages, governance constraints, and repository expectations for reliable automated action on materials data and models; a curated library of reusable agentic skills as bounded, testable modules for recurring fair and research-data-management operations including metadata extraction, schema crosswalk, provenance capture, fair packaging, and quality assessment; and benchmark suites and scoring protocols that evaluate whether agentic systems can perform realistic materials-research tasks with consistency and scientific fidelity. The work addresses a central bottleneck in data-intensive materials research by advancing reproducibility, robustness, and scientific fidelity in AI-enabled workflows that currently remain difficult to trust, reproduce, and reuse across instruments, laboratories, and organizations. Performance runs from October 1, 2026, through September 30, 2029, at Baltimore, Maryland.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $120.5k | 7/28/26 |