Research Office

Harnessing the Data Revolution (HDR): Data Science Corps -    

Solicitation: NSF 20-600

Institutional Limit: 1

• RO Internal LOI -  - Deadline to email Notice of Intent to apply - September 14.  
• Agency Deadline - November 12, 2020

Summary:

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

The general guidance for the preparation of Letters of Intent to the Research Office:

COVER SHEET (1 page)

• Solicitation Name and Descriptive Title
• Project Summary: 3 or 4 sentences or bullet points that provide an overview of the objective of your proposed plan, how you plan to do it, and the expected outcome.
• Unique Aspects: 3 or 4 sentences or bullet points that highlight how your research/approach is different/better.
• Key PI/co-PIs: 5 or 6 sentences or bullet points that highlight team expertise as it relates to the project. And names of coordinating organization and implementation organization(s)
• Budget:  Example: The total cost of the project is anticipated to be $ X, with $ Y being requested from the NSF. NSF funds will be used for: $ A for personnel; $ B for operations, and $ C for broader impacts/subcontracts etc.
• A justification for NSF support: One paragraph explaining why this research fits with the RFP and strategic goals of NSF.

PROJECT DESCRIPTION (2 - 3 pages) – In the project description, consider the following selection criteria:

• 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.

Suggested Reviewers:  The information will assist the Research Office assemble a review committee if more than the limited number of applications are received.  Include

• Name
• Title
• Contact
• Area of expertise

Submit electronically as a PDF document to: Research.Development@oregonstate.edu