English

Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs

Other Quantitative Biology 2021-12-24 v1 Machine Learning

Abstract

Space biology research aims to understand fundamental effects of spaceflight on organisms, develop foundational knowledge to support deep space exploration, and ultimately bioengineer spacecraft and habitats to stabilize the ecosystem of plants, crops, microbes, animals, and humans for sustained multi-planetary life. To advance these aims, the field leverages experiments, platforms, data, and model organisms from both spaceborne and ground-analog studies. As research is extended beyond low Earth orbit, experiments and platforms must be maximally autonomous, light, agile, and intelligent to expedite knowledge discovery. Here we present a summary of recommendations from a workshop organized by the National Aeronautics and Space Administration on artificial intelligence, machine learning, and modeling applications which offer key solutions toward these space biology challenges. In the next decade, the synthesis of artificial intelligence into the field of space biology will deepen the biological understanding of spaceflight effects, facilitate predictive modeling and analytics, support maximally autonomous and reproducible experiments, and efficiently manage spaceborne data and metadata, all with the goal to enable life to thrive in deep space.

Keywords

Cite

@article{arxiv.2112.12582,
  title  = {Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs},
  author = {Lauren M. Sanders and Jason H. Yang and Ryan T. Scott and Amina Ann Qutub and Hector Garcia Martin and Daniel C. Berrios and Jaden J. A. Hastings and Jon Rask and Graham Mackintosh and Adrienne L. Hoarfrost and Stuart Chalk and John Kalantari and Kia Khezeli and Erik L. Antonsen and Joel Babdor and Richard Barker and Sergio E. Baranzini and Afshin Beheshti and Guillermo M. Delgado-Aparicio and Benjamin S. Glicksberg and Casey S. Greene and Melissa Haendel and Arif A. Hamid and Philip Heller and Daniel Jamieson and Katelyn J. Jarvis and Svetlana V. Komarova and Matthieu Komorowski and Prachi Kothiyal and Ashish Mahabal and Uri Manor and Christopher E. Mason and Mona Matar and George I. Mias and Jack Miller and Jerry G. Myers and Charlotte Nelson and Jonathan Oribello and Seung-min Park and Patricia Parsons-Wingerter and R. K. Prabhu and Robert J. Reynolds and Amanda Saravia-Butler and Suchi Saria and Aenor Sawyer and Nitin Kumar Singh and Frank Soboczenski and Michael Snyder and Karthik Soman and Corey A. Theriot and David Van Valen and Kasthuri Venkateswaran and Liz Warren and Liz Worthey and Marinka Zitnik and Sylvain V. Costes},
  journal= {arXiv preprint arXiv:2112.12582},
  year   = {2021}
}

Comments

28 pages, 4 figures