Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs Article Swipe
YOU?
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· 2021
· Open Access
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· DOI: https://doi.org/10.48550/arxiv.2112.12582
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.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2112.12582
- https://arxiv.org/pdf/2112.12582
- OA Status
- green
- Cited By
- 4
- References
- 129
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4226160155
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4226160155Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2112.12582Digital Object Identifier
- Title
-
Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving LabsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-12-22Full publication date if available
- Authors
-
Lauren Sanders, Jason H. Yang, Ryan T. Scott, Amina A. Qutub, Héctor García Martín, Daniel C. Berrios, Jaden J. A. Hastings, Jon Rask, Graham Mackintosh, Adrienne Hoarfrost, Stuart Chalk, John Kalantari, Kia Khezeli, Erik Antonsen, Joël Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Guillermo M. Delgado-Aparicio, Benjamin S. Glicksberg, Casey S. Greene, Melissa Haendel, Arif Hamid, Philip H. Heller, Daniel Jamieson, Katelyn Jarvis, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, A. Mahabal, Uri Manor, Christopher E. Mason, Mona Matar, George I. Mias, Jack M. Miller, Jerry G. Myers, Charlotte Nelson, Jonathan Oribello, Seung Min Park, Patricia Parsons‐Wingerter, R. K. Prabhu, Robert J. Reynolds, Amanda Saravia-Butler, Suchi Saria, Aenor Sawyer, Nitin Singh, Frank Soboczenski, M Snyder, Karthik Soman, Corey A. Theriot, David Van Valen, Kasthuri Venkateswaran, Elizabeth Warren, Liz Worthey, Marinka Žitnik, Sylvain V. CostesList of authors in order
- Landing page
-
https://arxiv.org/abs/2112.12582Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2112.12582Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2112.12582Direct OA link when available
- Concepts
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Spaceflight, Computer science, Space exploration, Field (mathematics), Space (punctuation), Agile software development, Data science, NASA Deep Space Network, Spacecraft, Metadata, Artificial intelligence, Systems engineering, Engineering, Aerospace engineering, World Wide Web, Software engineering, Pure mathematics, Operating system, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2023: 2, 2022: 1Per-year citation counts (last 5 years)
- References (count)
-
129Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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