HDR @ NSF
What is Harnessing the Data Revolution?
Harnessing the Data Revolution (HDR) is one of the "10 Big Ideas for Future NSF Investments" and provides a profound opportunity to transform research across all fields of science and engineering through new insights gained from data.
Harnessing the Data Revolution aims to engage NSF's research community in the pursuit of a cohesive, federated, national-scale approach to advance fundamental data-centric research and data-driven domain discoveries, build data infrastructure for research, and develop a 21st-century data-capable workforce.
Harnessing the Data Revolution builds on NSF's legacy of data science investments. As the only federal agency supporting all fields of S&E, NSF is uniquely positioned to help ensure that our country's future is one enriched and improved by data.
NSF Funding Opportunities
NSF is laying the foundation for the Harnessing the Data Revolution Big Idea through a number of funding opportunities.
- Critical Techniques, Technologies and Methodologies for Advancing Foundations and Applications of Big Data Sciences and Engineering (BIGDATA)
- Cyberinfrastructure for Sustained Scientific Innovation (CSSI) - Data and Software: Elements and Frameworks
- Resource Implementations for Data Intensive Research in the Social, Behavioral and Economic Sciences (RIDIR)
- Partnerships between Science and Engineering Fields and the NSF TRIPODS Institutes (TRIPODS + X)
Not currently accepting proposals
- Natural Hazards Engineering Research Infrastructure (NHERI)
- Transdisciplinary Research in Principles of Data Science (TRIPODS)
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.
Scientific Community WorkshopsCommunity input is an integral part of growing NSF's Harnessing the Data Revolution Big Idea. Below are a number of workshops that are aligned.
- 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 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)
- Harnessing Data for the 21st Century Science and Engineering (part of NSF's 10 Big Ideas Special Report)
- 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
- Data Science Seminar Series
- Realizing the Potential of Data Science, Report from the NSF Computer and Information Science and Engineering Advisory Committee Data Science Working Group, December 2016