Core Mission

The Economic Science Society (ESS) is dedicated to advancing the frontier of causal inference to ensure economic insights are grounded in scientific rigor. We promote methodological diversity, spanning the development of novel estimators for observational data, innovative experimental design and analysis, and the integration of AI into causal research. By prioritizing rigorous identification, ESS empowers evidence-based policy for the global good.

Methodological Pillars

• Robust Identification Strategies: Isolating causal mechanisms in complex environments using data from either designed or natural environments.
• Novel Observational Estimators: Developing rigorous econometric tools to draw causal inference from either designed or naturally-occurring data.
• AI Integration: Leveraging machine learning and frontier AI tools, including agentic and LLM environments, to expand the frontiers of causal economics.
• Scientific Replicability: Championing open science and pre-registration.