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Harnessing the Data Revolution : Institutes for Data-Intensive Research in Science and Engineering

Status: Archived

Archived funding opportunity

This document has been archived.

Important information for proposers

All proposals must be submitted in accordance with the requirements specified in this funding opportunity and in the NSF Proposal & Award Policies & Procedures Guide (PAPPG) that is in effect for the relevant due date to which the proposal is being submitted. It is the responsibility of the proposer to ensure that the proposal meets these requirements. Submitting a proposal prior to a specified deadline does not negate this requirement.

Supports institutes focusing on data-intensive research in science and engineering that can accelerate discovery and innovation in various research areas addressing critical national challenges.


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 https://www.nsf.gov/news/special_reports/big_ideas/index.jsp). 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.

Program contacts

Amy L. Walton
HDR-DIRSE@nsf.gov (703) 292-4538 CISE/OAC
Christopher W. Stark
HDR-DIRSE@nsf.gov (703) 292-4869 MPS/DMS
Giovanna Biscontin
HDR-DIRSE@nsf.gov (703) 292-8360 ENG/CMMI
Cheryl L. Eavey
HDR-DIRSE@nsf.gov (703) 292-7269 SBE/SES
Daryl W. Hess
HDR-DIRSE@nsf.gov (703) 292-4942 MPS/DMR
Pui S. Ho
HDR-DIRSE@nsf.gov (703) 292-7054 MPS/CHE
Anthony Kuh
HDR-DIRSE@nsf.gov (703) 292-2210 ENG/ECCS
Vyacheslav (Slava) Lukin
HDR-DIRSE@nsf.gov (703) 292-7382 MPS/PHY
Peter H. McCartney
HDR-DIRSE@nsf.gov (703) 292-8470
Rebecca Peebles
HDR-DIRSE@nsf.gov (703) 292-8809
Nigel A. Sharp
HDR-DIRSE@nsf.gov (703) 292-4905 MPS/PHY
Shahab Shojaei-Zadeh
HDR-DIRSE@nsf.gov (703) 292-8045 ENG/CBET
Finbarr C. Sloane
HDR-DIRSE@nsf.gov (703) 292-8465 EDU/DRL
Sylvia J. Spengler
HDR-DIRSE@nsf.gov (703) 292-8930 CISE/IIS
Patricia Van Zandt
HDR-DIRSE@nsf.gov (703) 292-7437 SBE/BCS
Eva E. Zanzerkia
HDR-DIRSE@nsf.gov (703) 292-4734 GEO/EAR

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