2022 American Causal Inference Conference
Thank you all for participating in ACIC 2022 here at UC Berkeley
If you couldn't get enough of ACIC this year, ACIC 2023 will be held in Austin Texas, so mark your calendars for next May. Again, thank you all so much for being a part of this conference, and we hope to see you again for ACIC 2023.
The 2022 American Causal Inference Conference (ACIC) had a total of nearly 700 attendees both in-person and virtually, making this year's ACIC the largest ever! ACIC 2022 had over 140 poster presenters, 63 oral presenters, 21 sessions, and 17 teams who submitted to the ACIC data challenge session.
About the Sponsors
The Center for Targeted Machine Learning and Causal Inference (CTML) at UC Berkeley is an interdisciplinary research center for advancing, implementing and disseminating statistical methodology to address problems arising in public health and clinical medicine. CTML brings the rigor and power of statistical theory together with advances in machine learning and causal inference to generate robust evidence for advancing health.
Based in Washington, DC, and operating under the auspices of the UC Berkeley School of Public Health, the Forum for Collaborative Research is a public/private partnership addressing cutting-edge science and policy issues through a process of stakeholder engagement and deliberation.