Transdisciplinary Research In Principles Of Data Science (TRIPODS) aims to bring together the statistics, mathematics, and theoretical computer science communities to develop the theoretical foundations of data science through integrated research and training activities.
Phase I, described in
solicitation NSF 16-615, supported the development of small collaborative Institutes.
Phase II will support a smaller number of larger Institutes, selected from the Phase I Institutes via a second competitive proposal process.
All TRIPODSInstitutes must involve significant and integral participation by all three of the aforementioned communities.
Relevant Nonprofit Program Categories
Obtain Full Opportunity Text:NSF Publication 19-604
Additional Information of Eligibility:*Who May Submit Proposals: Proposals may only be submitted by the following: -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.Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of subawards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus.
*Who May Serve as PI: At least one PI or co-PI must be a PI or co-PI of a Phase I Institute funded under solicitation NSF 16-615, Transdisciplinary Research in Principles of Data Science Phase I (TRIPODS).
A list of these Phase I Institutes can be found at <a href="https://www.nsf.gov/cgi-bin/good-bye?https://nsf-tripods.org/institutes/">https://nsf-tripods.org/institutes/</a>.
PI teams must collectively possess appropriate expertise in all of the relevant disciplines and may include researchers in other fields.
It is anticipated that, in most cases, this requirement will be met by assembling teams of three or more individuals.
Teams may be composed of members at multiple institutions or a single institution.
Full Opportunity Web Address:http://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf19604Contact: Agency Email Description: If you have any problems linking to this funding announcement, please contact
Agency Email: Date Posted: 2019-09-20
Application Due Date: Archive Date: 2020-03-19