English

Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era

Instrumentation and Methods for Astrophysics 2019-11-07 v1 Artificial Intelligence

Abstract

The field of astronomy has arrived at a turning point in terms of size and complexity of both datasets and scientific collaboration. Commensurately, algorithms and statistical models have begun to adapt --- e.g., via the onset of artificial intelligence --- which itself presents new challenges and opportunities for growth. This white paper aims to offer guidance and ideas for how we can evolve our technical and collaborative frameworks to promote efficient algorithmic development and take advantage of opportunities for scientific discovery in the petabyte era. We discuss challenges for discovery in large and complex data sets; challenges and requirements for the next stage of development of statistical methodologies and algorithmic tool sets; how we might change our paradigms of collaboration and education; and the ethical implications of scientists' contributions to widely applicable algorithms and computational modeling. We start with six distinct recommendations that are supported by the commentary following them. This white paper is related to a larger corpus of effort that has taken place within and around the Petabytes to Science Workshops (https://petabytestoscience.github.io/).

Keywords

Cite

@article{arxiv.1911.02479,
  title  = {Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era},
  author = {Brian Nord and Andrew J. Connolly and Jamie Kinney and Jeremy Kubica and Gautaum Narayan and Joshua E. G. Peek and Chad Schafer and Erik J. Tollerud and Camille Avestruz and G. Jogesh Babu and Simon Birrer and Douglas Burke and João Caldeira and Douglas A. Caldwell and Joleen K. Carlberg and Yen-Chi Chen and Chuanfei Dong and Eric D. Feigelson and V. Zach Golkhou and Vinay Kashyap and T. S. Li and Thomas Loredo and Luisa Lucie-Smith and Kaisey S. Mandel and J. R. Martínez-Galarza and Adam A. Miller and Priyamvada Natarajan and Michelle Ntampaka and Andy Ptak and David Rapetti and Lior Shamir and Aneta Siemiginowska and Brigitta M. Sipőcz and Arfon M. Smith and Nhan Tran and Ricardo Vilalta and Lucianne M. Walkowicz and John ZuHone},
  journal= {arXiv preprint arXiv:1911.02479},
  year   = {2019}
}

Comments

arXiv admin note: substantial text overlap with arXiv:1905.05116

R2 v1 2026-06-23T12:07:36.646Z