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.

Program Chair: Layla Parast, University of Texas at Austin
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.

Program Committee
- Beth Ann Griffin, RAND Corporation, Statistics Group
- Cory Zigler, University of Texas at Austin, Department of Statistics and Data Sciences
- Jared Murray, University of Texas at Austin, McCombs School of Business, Department of Information, Risk, and Operations Management
- Jay Bartroff, University of Texas at Austin, Department of Statistics and Data Sciences
- Jennifer Hill, New York University, Department of Applied Statistics, Social Science, and Humanities
- Layla Parast, University of Texas at Austin, Department of Statistics and Data Sciences
- Luke Keele, University of Pennsylvania, Department of Surgery
- Betsy Ogburn, Johns Hopkins University, Department of Biostatistics
- Daniel Nevo, Tel Aviv University, Department of Statistics and Operations Research
- Matt Baird, LinkedIn

Registration Information

Preliminary Program

Sponsorship Opportunities

Hotel Accommodations

Tom Ten Have Award

Student Volunteer Program

2023 Conference Call for Submissions

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.

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.

Abstract Submission Categories
- Bayesian Causal Inference
- Causal Discovery
- Causal Inference and Bias/Discrimination
- Causal Inference and
- Common Support Violations
- Causal Inference and SUTVA/Consistencies Violations
- Causal Inference Education
- Causal Inference in Networks
- Difference in Differences
- Generalizability/Transportability
- Heterogeneous Treatment Effects
- Instrumental Variables
- Machine Learning and Causal Inference
- Matching
- Mediation
- Multilevel Causal Inference
- Propensity Scores
- Randomized Studies
- Regression Discontinuity
- Sensitivity Analysis
- Synthetic Control Method
- Weighting

CALL FOR ABSTRACT REVIEWERS

SCI members are invited to participate in reviewing abstract submissions for the upcoming conference. Reviews will be conducted online through the SCI website. Current 2023 SCI Membership is required to participate. Click here to renew your membership.

Abstract reviews will begin on January 10, 2023 with reviews due by January 23rd..

Annual Meeting

ACIC 2023 Austin, Texas