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.
@article{arxiv.1907.07817,
title = {Scheduling Discovery in the 2020s},
author = {Eric C. Bellm and Eric B. Ford and Aaron Tohuvavohu and Michael W. Coughlin and Brett Morris and Bryan Miller and Jennifer Sobeck and Reed Riddle and Chuanfei Dong and Peter Yoachim},
journal= {arXiv preprint arXiv:1907.07817},
year = {2019}
}