Data-Driven Approaches to Searches for the Technosignatures of Advanced Civilizations
T. Joseph W. Lazio, S. G. Djorgovski, Andrew Howard, Curt Cutler,, Sofia Z. Sheikh, Stefano Cavuoti, Denise Herzing, Kiri Wagstaff, Jason T., Wright, Vishal Gajjar, Kevin Hand, Umaa Rebbapragada, Bruce Allen, Erica, Cartmill, Jacob Foster, Dawn Gelino, Matthew J. Graham

TL;DR
This paper discusses how data-driven methods, including large sky surveys and advanced data analysis, can enhance the search for technosignatures of extraterrestrial civilizations, emphasizing reproducibility and promising observational strategies.
Contribution
It revisits technosignature search strategies in light of recent data growth, proposing data-driven, reproducible approaches aligned with Dyson's principles.
Findings
Identification of promising survey areas like infrared and radio interferometry.
Emphasis on data mining large sky surveys for anomalies.
Advocacy for reproducible, systematic search methodologies.
Abstract
Humanity has wondered whether we are alone for millennia. The discovery of life elsewhere in the Universe, particularly intelligent life, would have profound effects, comparable to those of recognizing that the Earth is not the center of the Universe and that humans evolved from previous species. There has been rapid growth in the fields of extrasolar planets and data-driven astronomy. In a relatively short interval, we have seen a change from knowing of no extrasolar planets to now knowing more potentially habitable extrasolar planets than there are planets in the Solar System. In approximately the same interval, astronomy has transitioned to a field in which sky surveys can generate 1 PB or more of data. The Data-Driven Approaches to Searches for the Technosignatures of Advanced Civilizations_ study at the W. M. Keck Institute for Space Studies was intended to revisit searches for…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
