Institutional Limit: 1
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 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 the integration of real-world data science projects into classroom instruction.
The set of awards made by this program are expected to reflect geographic diversity and represent the wide variety of regions across the country.
Role of the coordinating organization. The lead PI’s organization will serve as the coordinating organization and undertake responsibilities related to coordination, monitoring, and evaluation
Please read the full program announcement linked above before preparing your internal application. Note the Assessment of Student Learning and Program Evaluation Section
COVER SHEET (1 page)
PROJECT DESCRIPTION (1-2 pages) – In the project description, consider the following selection criteria:
Suggested Reviewers: The information will assist the Research Office assemble a review committee if more than the limited number of applications are received. Include
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