Extramural Coordinated Funding

UM Submission Instructions: Harnessing the Data Revolution (HDR): Data Science Corps (DSC) 2019

Sponsor:	National Science Foundation (NSF)
Award Title:	Harnessing the Data Revolution (HDR): Data Science Corps (DSC)
Amount:	$1.2M Awards will typically be in the range of $1,000,000 to $1,200,000 for 3 years.
UM Deadline:	01/04/2019
Sponsor Deadline:	02/04/2019
Description:	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.
Number of Applicants University is Allowed to submit:	1
Additional Requirements:	None
Sponsor Guidelines:	https://nsf.gov/pubs/2019/nsf19518/nsf19518.htm
UM Nominations Process:	Those interested in applying should submit the following as a single pdf document to collabor@umn.edu no later than 4pm on 1/4: 1. Cover page including PI name, department, contact information, project title, any co-PI's name and department, and one paragraph project abstract. 2. Project summary (not more than three pages). 3. Biosketch of PI and any co-PI's (NSF format). Any questions can be submitted to collabor@umn.edu or call 612-625-2356.
Peer Review Coordination:	Research and Innovation Office contact email
Status:	The internal deadline has passed but no applicants were selected. Please contact the office coordinating the peer review for more information.
Please note:	To be considered for peer review and internal selection, faculty must follow the above submission guidelines and meet the UM deadline as set by the office coordinating the peer review for this opportunity.

General Information

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Column Descriptions

Sponsor: redirects you to the sponsor's main website
Title/Guidelines: redirects you to sponsor specific information regarding the opportunity which may include description, eligibility, budget instructions, forms and other requirements
Amount: Maximum dollar amount awarded.
Add’l Req: Identifies special requirements such as cost sharing, partners, etc.
Sponsor Deadline: External deadline identified by the sponsor.
UM Submission Instructions: Contains specific internal submission requirements including internal proposal instructions, deadline, eligibility, internal nomination process, contact information.
# Apps: The maximum number of applications the sponsor will allow the university to submit.
UM Deadline: Submission deadline for internal proposal as determined by the coordinating office.
Status:
- Open: UM deadline has not passed and the opportunity is open for application.
- In Review: Peer review process is in progress for the opportunity.
- PI Selected: The PI has been selected as the official UM nominee.
- Closed: Sponsor deadline has passed and the opportunity is closed for application.

U of M Submission Instructions (Required)

This link includes summary sponsor information, specific instructions for internal submission and contact information for the university office coordinating the nomination process.

Follow the directions in the submission instructions and submit required materials by the UM deadline to the contact indicated.
Instructions vary according to the requirements of the sponsor and the university office coordinating the nomination process.

Registration (optional)

Registration is an optional but highly recommended feature. Perhaps you are looking for a wider audience for your proposal idea, or for potential collaborators to work with to create a stronger application. Registration allows applicants to share proposal ideas and post contact information.

Registration also provides information that helps the university office overseeing the nomination to determine the level of coordination needed and guide the review process.

To register (or view registrants), click on the UM Submission Instructions for a specific opportunity, then click on the Register Interest link.

Selection Process

Once the internal deadline has passed, the status will change to “In Review” and proposals will undergo review.
If there are multiple applicants, the office managing the nomination will determine the review criteria and coordinate the review process.
Once review has been completed all parties will be notified via email.
Nominees will be provided with a letter addressed to the sponsor from the RIO indicating that they are the university's nominee. This letter should accompany the nominee's proposal.
SPA is notified of the university's nominee(s) and the status is updated to “PI Selected”.

*If you have questions about the University's process related to extramural funding opportunities requiring nomination or if you have any technical issues with the site, contact collabor8@umn.edu.