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Better support for collaborations preparing for large-scale projects: the case study of the LSST Science Collaborations

Author(s): Bianco, Federica; Banerji, Manda; Blum, Robert; Bochanski, John; Brandt, William N; et al

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Abstract: Through the lens of the LSST Science Collaborations’ experience, this paper advocates for new and improved ways to fund large, complex collaborations at the interface of data science and astrophysics as they work in preparation for and on peta-scale, complex surveys, of which LSST is a prime example. We advocate for the establishment of programs to support both research and infrastructure development that enables innovative collaborative research on such scales.
Publication Date: 30-Sep-2019
Electronic Publication Date: Sep-2019
Citation: Bianco, Federica, Banerji, Manda, Blum, Robert, Bochanski, John, Brandt, William N, Burchat, Patricia, Gizis, John, Ivezic, Zeljko, Kahn, Steven M, Keaton, Charles, Kaviraj, Sugata, Loredo, Tom, Mandelbaum, Rachel, Marshall, Phil, McGehee, Peregrine, Schafer, Chad, Schwamb, Megan E, Sokoloski, Jennifer L, Strauss, Michael A, Street, Rachel, Trilling, David, Verma, Aprajita. (2019). Better support for collaborations preparing for large-scale projects: the case study of the LSST Science Collaborations. Bulletin of the American Astronomical Society, 51 (185 - 185
Type of Material: Journal Article
Journal/Proceeding Title: Bulletin of the American Astronomical Society
Version: Author's manuscript



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