ACIC 2023
Austin, Texas
The 2023 American Causal Inference Conference (ACIC) will be held in Austin, Texas – Date: May 24-26 2023
ACIC is an interdisciplinary conference designed to bring together researchers, students, and practitioners of causal inference with emphasis on theory, methodology, and application.
Layla Parast is an Associate Professor in the Department of Statistics and Data Sciences at the University of Texas at Austin. Her statistical research has focused on developing robust methods to evaluate surrogate markers, robust estimation of treatment effects, and developing and evaluating risk prediction procedures for long term survival. Her applied research has focused on measuring and comparing health care quality, and survey design and analysis for health care related surveys in a variety of settings including the emergency department, inpatient hospital, hospice, and pediatric setting. Prior to joining UT Austin, she was a senior statistician at the RAND Corporation and co-director of RAND’s Center for Causal Inference.2023 Conference Call for Submissions
CALL FOR ABSTRACTS
Abstracts may be considered for an oral presentation or poster presentation. Oral presentations will be one of 3-4 presentations in a 70-minute parallel session. We are only selecting individual paper submissions, rather than panel submissions. The submission format is a title and short abstract. Please note, all presentations must be in person. We especially encourage submissions highlighting the many applications of causal inference across disciplines.
Abstract submissions will open October 18th and close January 6, 2023.
CALL FOR SHORT COURSES
Short courses will be half-day on Friday May 26, 2023. Submission requirements include a Course Title, Course abstract, Course outline, and learning objectives. Please note, all short courses must be taught in person.
Short Course submissions will open October 18th and close January 6, 2023.