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Harnessing the Data Revolution (HDR): Institutes for Data-Intensive Research in Science and Engineering Crosscutting Programs NSF Wide Programs

Name Dir/Div Name Dir/Div
Amy  L. Walton CISE/OAC Christopher  W. Stark MPS/DMS
Giovanna  Biscontin ENG/CMMI Cheryl  L. Eavey SBE/SES
Daryl  W. Hess MPS/DMR Pui  S. Ho MPS/CHE
Anthony  Kuh ENG/ECCS Vyacheslav (Slava)  Lukin MPS/PHY
Peter  H. McCartney Rebecca  Peebles
Nigel  A. Sharp MPS/AST Shahab  Shojaei-Zadeh ENG/CBET
Finbarr  C. Sloane EDU/DRL Sylvia  J. Spengler CISE/IIS
Patricia  Van Zandt SBE/BCS Eva  E. Zanzerkia GEO/EAR


Solicitation  21-519

Important Information for Proposers

A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 22-1), is effective for proposals submitted, or due, on or after October 4, 2021. Please be advised that, depending on the specified due date, the guidelines contained in NSF 22-1 may apply to proposals submitted in response to this funding opportunity.




In 2016, the National Science Foundation (NSF) unveiled a set of "Big Ideas," 10 bold, long-term research and process ideas that identify areas for future investment at the frontiers of science and engineering (see The Big Ideas represent unique opportunities to position our Nation at the cutting edge of global science and engineering by bringing together diverse disciplinary perspectives to support convergent research. When responding to this solicitation, even though proposals must be submitted through the Office of Advanced Cyberinfrastructure (OAC) within the Directorate for Computer and Information Science and Engineering (CISE), once received the proposals will be managed by a cross-disciplinary team of NSF Program Directors.

NSF's Harnessing the Data Revolution (HDR) Big Idea is a national-scale activity to enable new modes of data-driven discovery that will allow fundamental questions to be asked and answered at the frontiers of science and engineering.

This solicitation will establish a group of HDR Institutes for data-intensive research in science and engineering that can accelerate discovery and innovation in a broad array of research domains. The HDR Institutes will lead innovation by harnessing diverse data sources and developing and applying new methodologies, technologies, and infrastructure for data management and analysis. The HDR Institutes will support convergence between science and engineering research communities as well as expertise in data science foundations, systems, applications, and cyberinfrastructure. In addition, the HDR Institutes will enable breakthroughs in science and engineering through collaborative, co-designed programs to formulate innovative data-intensive approaches to address critical national challenges.


What Has Been Funded (Recent Awards Made Through This Program, with Abstracts)

Map of Recent Awards Made Through This Program