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Division of Astronomical Sciences

Theoretical and Computational Astrophysics Networks  (TCAN)

CONTACTS

Name Email Phone Room
Thomas  S. Statler tstatler@nsf.gov (703) 292-4910  (NSF)  

PROGRAM GUIDELINES

Solicitation  13-512

Important Notice to Proposers

A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG), NSF 13-1, was issued on October 4, 2012 and is effective for proposals submitted, or due, on or after January 14, 2013. Please be advised that, depending on the specified due date, the guidelines contained in NSF 13-1 may apply to proposals submitted in response to this funding opportunity.

Please be aware that significant changes have been made to the PAPPG to implement revised merit review criteria based on the National Science Board (NSB) report, National Science Foundation's Merit Review Criteria: Review and Revisions. While the two merit review criteria remain unchanged (Intellectual Merit and Broader Impacts), guidance has been provided to clarify and improve the function of the criteria. Changes will affect the project summary and project description sections of proposals. Annual and final reports also will be affected.

A by-chapter summary of this and other significant changes is provided at the beginning of both the Grant Proposal Guide and the Award & Administration Guide.

SYNOPSIS

The New Worlds, New Horizons report of the Astro2010 Decadal Survey observed that key challenges in theoretical astrophysics "are of a scale and complexity that require sustained, multi-institutional collaborations," but that there was "no mechanism to support these coordinated efforts at the needed level in the US." NSF's Division of Astronomical Sciences (AST) and NASA's Astrophysics Division (APD) agree that theory and computation are highly complementary "pillars of science," and that major progress in one can enable progress in the other. NSF/AST and NASA/APD have therefore initiated the Theoretical and Computational Astrophysics Networks (TCAN) program with the following goals:

  • To support coordinated efforts in fundamental theory and computational techniques in order to make groundbreaking advances in astrophysics;
  • To strengthen theoretical and computational astrophysics in the US by uniting researchers in collaborative networks that cross institutional and geographical divides; and
  • To advance the training of the future workforce of theoretical and computational scientists.

A network is a combination of nodes and connections. A node is a group of researchers at an existing institution, along with the local resources (e.g., computational, educational, communications) that sustain them. A connection is a significant exchange of expertise or capabilities between nodes (e.g., exchange of personnel, web-based training, sharing of access to resources). Multiple connections between nodes, that enable an integrated and focused collaborative effort, constitute a network. The TCAN program will support research networks with 3 or more nodes at distinct institutions. Proposals must demonstrate clear management structure and clear protocols for communication, planning, distribution of effort, and tracking of progress. Supported projects will develop new theoretical and/or computational paradigms directly addressing key "frontier" questions in astrophysics. In cases where code will be produced for community use, projects will develop a transition plan to maintain and sustain it.

TCAN projects are expected to target fundamental issues in theoretical and computational astrophysics and to display a depth and breadth of concept qualitatively beyond those typical of the existing NSF Astronomy and Astrophysics Research Grants (AAG) and NASA Astrophysics Theory Program (ATP) programs. Prospective proposers are strongly urged to contact the cognizant program officers in either or both agencies to discuss the suitability of their projects for the TCAN program before preparing their proposals.

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RELATED PUBLICATIONS

Research in Undergraduate Institutions (NSF 00-144)

RELATED PROGRAMS

Computational and Data-Enabled Science and Engineering

Facilitating Research at Primarily Undergraduate Institutions:

What Has Been Funded (Recent Awards Made Through This Program, with Abstracts)

Map of Recent Awards Made Through This Program



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