Elizabeth Tipton

Elizabeth Tipton

Professor of Statistics and Data Science
Northwestern University
Faculty Fellow, Institute for Policy Research

I develop methods for designing studies and for building evidence that decision-makers can use.

Recently
  • Apr 2026 What schools want vs. what evidence can deliver — PIER seminar, Harvard Graduate School of Education.
  • 2025 Elected to the National Academy of Education.
  • 2025 Designing Small Evaluation Studies, with Larry Hedges — Sage.

tipton@northwestern.edu
Google Scholar

Talks & media

Recent and selected

Invited keynotes and talks

  • 2026What schools want vs. what evidence can deliverPIER seminar, Harvard Graduate School of Education
  • 2026What schools want vs. what evidence can deliverCommittee on Education seminar, University of Chicago
  • 2025The evidence gap: How causal inference can better serve scienceCauScien Workshop, NeurIPS 2025, San Diego
  • 2025Developing trustworthy evidence: From science to policymakingUA RUHR Research Center Trustworthy Data Science and Security, Dortmund
  • 2025Designing trials to enable better generalizations and predictionsAnnual Meeting of the Royal Statistical Society, Edinburgh
  • 2025Generalization and heterogeneity: Considerations for the design and reporting of causal effectsVIVE Copenhagen
  • 2024Integrating diverse evidence: From science to policy-makingKeynote, CLeaR (Causal Learning and Reasoning) Conference, UCLA
  • 2024Developing an evidence-base when treatment effects varyKeynote, The Dyslexia Foundation Extraordinary Brain Series, Malta
  • 2024Designing randomized trials to predict treatment effectsOnline Causal Inference Seminar, Stanford
  • 2023Integrating diverse evidence: From science to policy-makingKeynote, Beyond Deep Learning symposium, Idiap Research Institute, Switzerland
  • 2023Generalizability and heterogeneity: Designing your study when treatment effects varyICERM Hot Topics Workshop, Brown University
  • 2023Designing experiments to predict unit treatment effectsConference on External Validity, Institute for Advanced Study in Toulouse
  • 2022Developing an evidence base when treatment effects varyKeynote, International Meeting of the Psychometric Society, Bologna
  • 2021Increasing robustness to distribution shifts by improving designDistribution Shifts workshop, NeurIPS
  • 2020Will this intervention work in this population? Designing randomized trials for generalizationOnline Causal Inference Seminar, Stanford (discussant: A. Gelman)
  • 2020The role of sampling and recruitment in improving the policy relevance of RCTsThe World Bank

Media