- Sponsor: National Science Foundation
- Internal Deadline: December 10th, 2018
- Sponsor Deadline: February 4th, 2018
- Link: https://www.nsf.gov/pubs/2019/nsf19518/nsf19518.htm
NSF’s Harnessing the Data Revolution (HDR) Big Idea is a visionary, national-scale activity to enable new modes of data-driven discovery, allowing fundamentally new questions to be asked and answered in science and engineering frontiers, generating new knowledge and understanding, and accelerating discovery and innovation. The HDR vision is realized via a coordinated set of program solicitations resulting in an ecosystem of interrelated activities enabling (i) research in the foundations of data science; frameworks, algorithms, and systems for data science; and data-driven research in science and engineering; (ii) advanced cyberinfrastructure; and (iii) education and workforce development—all of which are designed to amplify the intrinsically multidisciplinary nature of the data science challenge. The HDR Big Idea will establish theoretical, technical, and ethical data science frameworks, and apply them to practical problems in science and engineering, and in society more generally.
The Data Science Corps is one of the components of the HDR ecosystem, focusing on building capacity for harnessing the data revolution at the local, state, national, and international 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 teaching opportunities, in a variety of settings, to data scientists and data science students. It will also strive to promote data literacy and provide basic training in data science to the existing workforce across communities.
As a first step in establishing the Data Science Corps, this solicitation focuses specifically on enabling participation by undergraduate students in the Data Science Corps, by supporting student stipends for participation in data science projects and supporting integration of real-world data science projects into classroom instruction.
Please read the full program announcement linked above before preparing your internal application.
Up to $10,000,000 is expected to be available for eight to eleven awards, for 3 years each, subject to the availability of funds. Awards will typically be in the range of $1,000,000 to $1,200,000 for 3 years.
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.
An individual may participate in only one proposal as PI, co-PI, or Senior Personnel. These eligibility constraints will be strictly enforced in order to treat everyone fairly and consistently. In the event that an individual exceeds this limit, a proposal received within the limit will be accepted based on earliest date and time of proposal submission (i.e., the first proposal received will be accepted and the remainder will be returned without review). No exceptions will be made.
- Organizational diversity . Whether the proposal has ensured diversity among participating organizations, e.g., by reaching across many types of IHEs, including research universities, two- and four-year colleges, and MSIs.
- Linkage to undergraduate curricula, internships and/or other placement programs . Whether there are clear linkages to existing or new undergraduate courses, as well as internship, traineeship, study aboard, and/or other relevant programs at institutions.
- Current/prior experience in data science projects . Whether the proposing team has a demonstrated track record and prior experience with implementing data science projects in academia, industry, government, non-profit, and/or other relevant sectors, and the ability to clearly identify specific projects in such settings.
- Connection to stakeholder communities. Whether the proposing team has demonstrated linkages with relevant stakeholders in industry, local/state/federal governments, non-profits, international organizations, and/or other sectors.
An Institution may submit one proposal.
If you are interested in submitting for this program, you must first submit an internal application to firstname.lastname@example.org according to the required instructions below.
Internal Applications must include the following:
- A cover page listing
- The name of this funding opportunity and title of your proposal
- Your name, UGA position, home department, email, and UGA contact information
- Names of coordinating organization and implementation organization(s)
- A (maximum two-page) proposal summary
- One paragraph describing why this proposal should be UGA’s submission (i.e., why it will be the most competitive for this program)
- Curriculum vitae
Limited Submission announcements often generate multiple competing proposals. UGA reviewers judge proposals as they would in any peer review process, so PIs are urged to put their best foot forward. Along with typical criteria, reviewers will evaluate internal proposals based on their fit with the sponsor’s articulated goals and criteria.
Internal Submission Instructions
The above internal application materials should be submitted via email as a single .PDF file to email@example.com by the internal deadline listed above.
Please submit questions regarding the internal competition to firstname.lastname@example.org.
For questions directly related to this program, please contact the following program officers:
View our calendar for all Current and Closed Limited Submissions.
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What is a Limited Submission?