David Madigan writes:

The Association of Computing Machinery and the IMS have formed a joint venture to bring together researchers and practitioners to address foundational data science challenges in prediction, inference, fairness, ethics and the future of data science. Following the successful Interdisciplinary Summit on the Foundations of Data Science [https://www.acm.org/data-science-summit] that took place in San Francisco in 2019, we decided to launch an annual refereed conference series starting with the 2020 ACM–IMS Foundations of Data Science Conference [https://fods.acm.org/]. The conference, co-chaired by Jeannette Wing from Columbia University and David Madigan from Northeastern University took place virtually on October 19th and 20th. The conference received 57 submissions and the 40-person program committee accepted 17 papers for plenary presentation and inclusion in the conference proceedings. The conference also featured two keynote speakers — Mihaela van der Schaar from the University of Cambridge and UCLA, and Oren Etzioni from the Allen AI Institute — and two tutorial presenters — David Blei from Columbia University and Michael Kearns from the University of Pennsylvania.

The conference proceedings are available in the ACM Digital Library: https://dl.acm.org/doi/proceedings/10.1145/3412815. In light of the pandemic, we are now planning for FODS-2022 and look forward to an annual conference thereafter.