English

Better support for collaborations preparing for large-scale projects: the case study of the LSST Science Collaborations Astro2020 APC White Paper

Instrumentation and Methods for Astrophysics 2019-07-23 v1

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.

Keywords

Cite

@article{arxiv.1907.09027,
  title  = {Better support for collaborations preparing for large-scale projects: the case study of the LSST Science Collaborations Astro2020 APC White Paper},
  author = {Federica B. Bianco and Manda Banerji and John Bochanski and William N. Brandt and Patricia Burchat and John Gizis and Zeljko Ivezić and Charles Keaton and Sugata Kaviraj and Tom Loredo and Rachel Mandelbaum and Phil Marshall and Peregrine McGehee and Chad Schafer and Megan E. Schwamb and Jennifer L Sokoloski and Michael A. Strauss and Rachel Street and David Trilling and Aprajita Verma},
  journal= {arXiv preprint arXiv:1907.09027},
  year   = {2019}
}

Comments

White Paper submitted to the Astro2020 (The "2020 Decadal Survey") APC call for "State of the Profession Considerations"