Partnerships between Science and Engineering Fields and the NSF TRIPODS Institutes

The summary for the Partnerships between Science and Engineering Fields and the NSF TRIPODS Institutes grant is detailed below. This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants. Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact. If any section is incomplete, please visit the website for the National Science Foundation, which is the U.S. government agency offering this grant.
Partnerships between Science and Engineering Fields and the NSF TRIPODS Institutes: The National Science Foundation's (NSF&rsquo;s) Directorates for Computer &amp; Information Science &amp; Engineering (CISE) and Mathematical &amp; Physical Sciences (MPS) recently launched the <a href="https://www.nsf.gov/pubs/2016/nsf16615/nsf16615.htm">Transdisciplinary Research in Principles of Data Science (TRIPODS) Phase Iprogram</a> with the goal of promoting long-term, interdisciplinary research and training activities that engage theoretical computer scientists, statisticians, and mathematicians in developing the theoretical foundations of data science. Twelve TRIPODS Phase I Institutes were established in FY17 (see <a href="https://www.nsf.gov/news/news_summ.jsp?cntn_id=242888">https://www.nsf.gov/news/news_summ.jsp?cntn_id=242888</a>). The Partnerships between Science and Engineering Fields and the NSF TRIPODS Institutes (TRIPODS + X) solicitation seeks to expand the scope of the TRIPODS program beyond the foundations community by engaging researchers across other NSF disciplines and the TRIPODS research teams in collaborative activities. TRIPODS + X projects will foster relationships between researchers in science &amp; engineering domains and foundational data scientists by leveraging existing NSF investments in the TRIPODS organizations. Working in concert with a TRIPODS organization, a TRIPODS + X project would focus on data-driven research challenges motivated by applications in one or more science and engineering domains or other activities aimed at building robust data science communities.
Federal Grant Title: Partnerships between Science and Engineering Fields and the NSF TRIPODS Institutes
Federal Agency Name: National Science Foundation (NSF)
Grant Categories: Science and Technology
Type of Opportunity: Discretionary
Funding Opportunity Number: 18-542
Type of Funding: Grant
CFDA Numbers: 47.041, 47.049, 47.050, 47.070, 47.074, 47.075, 47.076, 47.079, 47.083
CFDA Descriptions: Information not provided
Current Application Deadline: May 29th, 2018
Original Application Deadline: May 29th, 2018
Posted Date: February 28th, 2018
Creation Date: February 28th, 2018
Archive Date: June 28th, 2018
Total Program Funding: $10,710,000
Maximum Federal Grant Award:
Minimum Federal Grant Award:
Expected Number of Awards:
Cost Sharing or Matching: No
Last Updated: February 28th, 2018
Applicants Eligible for this Grant
Others (see text field entitled "Additional Information on Eligibility" for clarification.)
Additional Information on Eligibility
*Who May Serve as PI: At least one PI or co-PI must represent a discipline other than mathematics, statistics, and theoretical computer science.At least one PI or co-PI must be a PI, co-PI, or Senior Personnel of one of the 12 TRIPODS Phase I Institute projects initiated in FY 2017 pursuant to NSF solicitation 16-615 (see <a href="https://www.nsf.gov/news/news_summ.jsp?cntn_id=242888">https://www.nsf.gov/news/news_summ.jsp?cntn_id=242888</a>). Participation of PIs and co-PIs at institutions other than the TRIPODS awardeeorganizations is particularly encouraged and will receive priority consideration. This collaboration can be via sub-awards or via NSF&rsquo;s collaborative proposal mechanism, regardless of which institution is designated as the lead. These eligibility constraints will be strictly enforced in order to treat everyone fairly and consistently. Proposals that do not meet these requirements will bereturned without review. No exceptions will be made.
Link to Full Grant Announcement
NSF Publication 18-542
Grant Announcement Contact
NSF grants.gov support
grantsgovsupport@nsf.gov

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