Harnessing the Data Revolution (HDR) at NSF
What is HDR?
The National Science Foundation’s (NSF) Harnessing the Data Revolution (HDR) Big Idea is a national-scale activity to enable new modes of data-driven discovery that will allow new fundamental questions to be asked and answered at the frontiers of science and engineering. Through this NSF-wide activity, HDR will generate new knowledge and understanding, and accelerate discovery and innovation. The HDR vision is realized through an interrelated set of efforts in:
- The foundation of data science;
- Algorithms and systems for data science;
- Data-intensive science and engineering;
- Data cyberinfrastructure; and
- Education and workforce development.
Each of these efforts is designed to amplify the intrinsically multidisciplinary nature of the emerging field of data science. The HDR Big Idea will establish theoretical, technical, and ethical frameworks that will be applied to tackle data-intensive problems in science and engineering, contributing to data-driven decision-making that impacts society.
Exemplar Science and Engineering Drivers/Themes for HDR
Through community workshops, NSF has developed a set of exemplar science and engineering challenges that may be addressed through investments in HDR. These examples, which span all areas of science and engineering supported by NSF, are meant to be illustrative, not exhaustive of the potential of HDR.
NSF Funding Opportunities
NSF’s investments in HDR span the multi-pronged strategy described above. Specifically, beginning in FY 2019, and building on past investments by nearly all NSF directorates and offices, HDR will offer two conceptualization pathways to develop institutes to accelerate discovery and innovation in data-intensive science and engineering:
- Institutes for Data-Intensive Research in Science and Engineering - Ideas Labs (I-DIRSE-IL) - aims to bring together scientists and engineers working on important data-intensive problems with data scientists and systems/cyberinfrastructure specialists; and
- Institutes for Data-Intensive Research in Science and Engineering - Frameworks (I-DIRSE-FW) - encourages applications from teams of researchers proposing frameworks for integrated sets of science and engineering problems and data science solutions.
In addition, in FY 2019, NSF is offering:
- Transdisciplinary Research in Principles of Data Science - supports developing the theoretical foundations of data science through integrated research and training activities; and
- Data Science Corps (DSC) - aims to build capacity at the local, state, national, and international levels to help unleash the power of data in the service of science and society.
As part of HDR, NSF directorates and offices will also collaborate on new approaches to community data governance and research data lifecycles in alignment with NSF's Public Access Plan.
Harnessing the Data Revolution (HDR) Information Webinar held on 02/15/2019
Scientific Community Workshops
Community input is an integral part of shaping NSF's HDRBig Idea. Below are a number of workshops that have taken place in recent years.
- Geoscience Digital Data Resource and Repository Service (GeoDaRRS) Workshop, August 7-9, 2018, Boulder, CO
- EarthCube 2018 All Hands Meeting Platform for Integration, June 6-8, 2018, Washington, DC
- MATDAT18: Materials and Data Science Hackathon, May 30-June 1, 2018, Alexandria, VA
- Data Science Leadership Summit, March 26, 2018, Columbia, NY
- Real-Time Learning and Decision Making in Dynamical Systems, February 12-13, 2018, NSF, Alexandria, VA
- Enabling Computer and Information Science and Engineering Research and Education in the Cloud, Jan 8-9, 2018, Alexandria, VA
- Envisioning the Data Science Discipline: The Undergraduate Perspective, December 6-7, 2017, Washington DC
- Data Science Corps, December 7-8, 2017, Washington DC
- Workshop on Translational Data Science: Industry / Academic Confluence (TDS-IAC), Nov 13-14, 2017, Berkeley, CA
- Keeping Data Science Broad: Negotiating the Digital and Data Divide, Oct 30-Nov 1, 2017, Atlanta, GA
- 3rd Workshop on a Open Knowledge Network: enabling the community to build the network, October 4-5, 2017, Bethesda, MD
- NSF Workshop on Translational Data Science, June 26-27, 2017, Chicago, Il.
- NSF Fiscal Year 2019 budget to advance innovation, infrastructure (NSF News Release, Feb. 28, 2018)
- NSF issues first Convergence awards, addressing societal challenges through scientific collaboration (NSF News Release, Aug. 25, 2017)
- New NSF awards will bring together cross-disciplinary science communities to develop foundations of data science (NSF News Release, Aug. 24, 2017)
- Video: Ten Big Ideas for Future NSF Investment
- Building the Future: Investing in Discovery and Innovation - NSF Strategic Plan for Fiscal Years (FY) 2018 - 2022
- Realizing the Potential of Data Science, Report from the NSF Computer and Information Science and Engineering Advisory Committee Data Science Working Group, December 2016
This page was last updated Feb. 15, 2019; please continue to visit this site for updates about NSF’s HDR plans and investments.