Harnessing the Data Revolution (HDR): Data Science Corps

https://www.grants.gov/web/grants/view-opportunity.html?oppId=329748
Award Amount
$1,500,000.00
Maximum Amount
$1,500,000.00
Assistance Type
Grant
Funding Source
Federal
Implementing Entity
National Science Foundation
Due Date
Where the Opportunity is Offered
All of California
Eligible Applicant
Other
Additional Eligibility Information
*Who May Submit Proposals: Proposals may only be submitted by the following: -Non-profit, non-academic organizations: Independent museums, observatories, research labs, professional societies and similar organizations in the U.S. associated with educational or research activities. -Institutions of Higher Education (IHEs) - Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members.Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of subawards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus.
Contact
NSF grants.gov support
Description

In 2016, the National Science Foundation (NSF) unveiled a set of "Big Ideas," ten bold, long-term research and process ideas that identify areas for future investment at the frontiers of science and engineering (seehttps://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 convergence research. When responding to this solicitation, even though proposals must be submitted through theDirectorate for Computer and Information Science and Engineering, Division of Information and Intelligent Systems (CISE/IIS), once received, the proposals will be managed by a cross-disciplinary team of NSF Program Directors. NSF'sHarnessing the Data Revolution (HDR) Big Ideais 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. In 2019, the HDR Big Idea launched three parallel efforts in pursuit of these aims: Institutes for Data-Intensive Research in Science and Engineering (I-DIRSE), HDR: Transdisciplinary Research In Principles Of Data Science Phase I (HDR TRIPODS Phase I), and Data Science Corps (DSC). The Data Science Corps is one of the components of the HDR ecosystem enabling education and workforce development by focusing on building capacity for harnessing the data revolution at the local, state, and national levels to help unleash the power of data in the service of science and society. The Data Science Corps will provide practical experiences, teach new skills, and offer learning opportunities in different settings. This solicitation prompts the community to envision creative educational pathways that will transform data science education and expand the data science talent pool by enabling the participation of undergraduate and Master’s degree students with diverse backgrounds, experiences, skills, and technical maturity in the Data Science Corps. These activities are envisioned to be inherently collaborative, with a lead organization and one or more collaborating organizations. Contact Information: Please note that the following information is current at the time of publishing. See program website for any updates to the points of contact. General inquiries may be addressed to HDR-DSC@nsf.gov.

Category
Other

Similar Oppportunities

Future of Work at the Human-Technology Frontier: Core Research
Understanding the Rules of Life: Emergent Networks
Future of Work at the Human-Technology Frontier: Core Research
Inclusion across the Nation of Communities of Learners of Underrepresented Discoverers in Engineering and Science (NSF INCLUDES)
Mid-scale Research Infrastructure-1
Last Updated