Workshops


Interactive Training & Hands-On Sensitivity Analysis Sessions

Workshops & Training

Learn how to apply sensitivity analysis techniques (RIR, ITCV, COP) in R, Stata, and the KonFound-It! web app.

Upcoming Workshops

More Workshops Coming Soon

We regularly host training sessions at major academic conferences and methodology institutes. Check back soon for new dates, or browse our past sessions below for course materials and slide decks.


ICPSR Summer Program in Quantitative Methods

Dates: July 13–17, 2026 (10:00 AM – 3:00 PM ET) | Format: Virtual

  • Course Title: Sensitivity Analysis: Quantifying the Robustness of Inferences to Alternative Factors or Data
  • Overview: A 20-instruction-hour workshop covering statistical tools (R, Stata, KonFound-It! Shiny App) to quantify the strength of evidence necessary to inform policy, practice, or social science.

Key Course Goals

  • Understand basic sensitivity analysis frameworks based on omitted variables and potential outcomes.
  • Conduct and interpret sensitivity analyses from published outputs.
  • Apply sensitivity analysis directly to your own studies.

University of Notre Dame (CREO)

Date: March 30, 2026 (3:30–5:00 PM ET)
Location: Notre Dame, IN (In Person)

  • Topic: Quantifying the Robustness of Causal Inferences: Sensitivity Analysis for Pragmatic Social Science
  • Citation: Frank, K. A., Lin, Q., Xu, R., Maroulis, S. J., & Mueller, A. (2023). Social Science Research, 110, 102815.
Download Preprint →

Indiana University Sociology

Date: March 27, 2026 (12:00–1:30 PM ET)
Location: Bloomington, IN (In Person)

  • Topic: Quantifying the Robustness of Causal Inferences: Sensitivity Analysis for Pragmatic Social Science
  • Funding: Supported by grant R305D220022 from the U.S. Institute for Education Sciences (IES).
Event Details →

Association for Public Policy Analysis & Management (APPAM)

Date: November 14, 2025 (1:45–3:15 PM PT) | Location: Seattle, WA (In Person)

  • Title: What Would it Take to Change Your Inference? Informing Collaborative Evidence Generation and Evaluation
  • Part I: Using potential outcomes to evaluate how much bias (case replacement) is needed to nullify an effect.
  • Part II: Quantifying robustness in terms of correlations with unobserved confounding variables.
  • Hands-on Practice: Module demonstrations using R, Stata, and the KonFound-It! web app.

Society for Research on Educational Effectiveness (SREE)

Date: October 8, 2025 (9:00 AM – 1:00 PM CT) | Location: Chicago, IL (In Person)

  • Title: What Would It Take to Change Your Inference? Informing Broad Stakeholder Debate about Research across Systems
  • Coverage: Bivariate and multivariate models, logistic regression, difference-in-differences, hazard models, propensity scores, and mediation.
  • Comparisons: Hands-on comparisons with alternative sensitivity techniques (e.g., Oster’s COP, Cinelli & Hazlett’s Robustness Index).

Past Workshops Archive

Date Host / Event Topic / Title Location
Jul 13–17, 2026 ICPSR Summer Program Sensitivity Analysis: Quantifying Robustness Virtual
Mar 30, 2026 Univ. of Notre Dame (CREO) Quantifying the Robustness of Causal Inferences Notre Dame, IN
Mar 27, 2026 Indiana Univ. Sociology Quantifying the Robustness of Causal Inferences Bloomington, IN
Nov 14, 2025 APPAM What Would it Take to Change Your Inference? Seattle, WA
Oct 8, 2025 SREE What Would It Take to Change Your Inference? Chicago, IL
Aug 5, 2025 Society for Epidemiological Research What Would it Take to Change Your Inference? Virtual
Jul 28–Aug 1, 2025 ICPSR Summer Program Sensitivity Analysis: Quantifying Robustness Virtual
Jul 26, 2025 Academy of Management (AOM) Testing the Impossible? Advanced Sensitivity Analyses Copenhagen, Denmark
Apr 9 & 14, 2025 Michigan State University Course Drop-In Workshops Virtual
Mar 5–6, 2025 Statistical Horizons Sensitivity Analysis for Causal Inference (2-Day) Virtual
Oct 11, 2024 AEFP Informing Discourse About Causal Inferences Virtual
Aug 9, 2024 Academy of Management (AOM) Sensitivity Analysis to Inform Innovation in the Future Chicago, IL
Jul 24, 2024 Society for Epidemiological Research Quantifying Discourse in Epidemiology Virtual
Jul 8–12, 2024 ICPSR Short Workshop Sensitivity Analysis Mini-Course Ann Arbor, MI
May 24, 2024 Univ. of Gothenburg School of Public Health Seminar Gothenburg, Sweden
May 20–21, 2024 Lund University Workshop and Presentation on Sensitivity Analysis Lund, Sweden
Apr 17, 2024 SRAD Quantifying Robustness in Adolescent Research Chicago, IL
Apr 12, 2024 AERA Opening the Discourse to a Range of Stakeholders Philadelphia, PA
Mar 5, 2024 AEFP Causal Inferences in the Educational Ecosystem Virtual
Feb 29–Mar 1, 2024 Statistical Horizons Two Key Techniques for Quantifying Robustness Virtual
Feb 14, 2024 University of Arizona Computational Social Science Workshop Tempe, AZ