Scheduling Discovery in the 2020s
Eric C. Bellm, Eric B. Ford, Aaron Tohuvavohu, Michael W. Coughlin,, Brett Morris, Bryan Miller, Jennifer Sobeck, Reed Riddle, Chuanfei Dong,, Peter Yoachim

TL;DR
This paper discusses the importance of advanced scheduling methods in astronomy during the data-rich 2020s, emphasizing the need for open-source tools and integrated observation-data analysis workflows.
Contribution
It highlights the critical role of developing high-quality, open-source scheduling approaches to handle increasing survey complexity in modern astronomy.
Findings
Increased survey complexity demands better scheduling algorithms.
Open-source software is essential for collaborative development.
Integration of observation and data analysis stages is crucial.
Abstract
The 2020s will be the most data-rich decade of astronomy in history. As the scale and complexity of our surveys increase, the problem of scheduling becomes more critical. We must develop high-quality scheduling approaches, implement them as open-source software, and begin linking the typically separate stages of observation and data analysis.
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Taxonomy
TopicsAstronomy and Astrophysical Research · Scientific Computing and Data Management
