Empirical Methods in the Age of AI Conference
📅 Friday, 2 October 2026 → Saturday, 3 October 2026 in 81 days
Two-day Stanford conference on how AI is reshaping research design, measurement and causal inference. Open to everyone; registration not yet released.
A two-day Stanford conference on a question the field has mostly deferred: what happens to empirical research methods when the researcher has powerful AI tools? The hosts — the Stanford Causal Science Center and the Graduate School of Business — frame it as bringing “together leading academics and industry practitioners to explore the frontier of data-driven research in an era of powerful AI tools”, spanning AI-assisted research, causal inference, econometrics and measurement.
The underlying theme is the changing relationship between human expertise and machine intelligence in the research process itself: what AI can now do to study design, what it does to measurement validity, and where causal reasoning still needs a human.
At the Simonyi Conference Center in the CoDa building, 2–3 October. The page states plainly that the event is “open to: Everyone”. It is currently a save-the-date — registration, fees and the speaker programme have not been released, so watch the Stanford Data Science page.
