EPIC-lab

Evaluating Policy Implications with Causal-inference

Welcome to the EPIC-lab

Disentangling the forces that shape human behaviour is like trying to isolate a single voice in a choir; simple observation reveals the music, but not who is singing which part. EPIC-Lab (Evaluating Policy Implications with Causal-inference) isolates that single voice. We pair the rigorous logic of causal inference with the predictive power of machine learning to quantify whether interventions work, for whom they are most effective, and under which circumstances they provide benefit. Our work delivers robust answers to urgent questions in psychological science and public policy. EPIC-Lab is based at the School of Psychological Science at Victoria University of Wellington-Te Herenga Waka, New Zealand.

Our Mission

  1. Advance causal inference in the social sciences, both in observational research and experimental design.
  2. Educate scholars through hands‑on training in modern causal methods
  3. Promote evidence-based decision making through robust causal workflows and collaboration with experts.

Research Focus

Causal Methods in Social Science

  • doubly robust machine learning
  • causal forests and heterogeneous treatment effects
  • longitudinal modified treatment policies (multi-exposures)

Application Domains

  • Civic Virtues
  • Institutional Trust
  • Individual Differences

Resources

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NoteRecent News

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