학술논문
Better support for collaborations preparing for large-scale projects: the case study of the LSST Science Collaborations Astro2020 APC White Paper
Document Type
Working Paper
Author
Bianco, Federica B.; Banerji, Manda; Bochanski, John; Brandt, William N.; Burchat, Patricia; Gizis, John; Ivezić, Zeljko; 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
Source
Subject
Language
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.
Comment: White Paper submitted to the Astro2020 (The "2020 Decadal Survey") APC call for "State of the Profession Considerations"
Comment: White Paper submitted to the Astro2020 (The "2020 Decadal Survey") APC call for "State of the Profession Considerations"