About CODE@MIT
Digital experimentation has powered countless innovations across industries, and in doing so, has fundamentally expanded our understanding of human behavior and how we make decisions at scale. As more of our social interactions, transactions, and choices move online, researchers now have unprecedented ability to run rigorous experiments that reveal cause and effect in ways that were previously impossible.
The implications are significant. From public health and political mobilization to consumer behavior and information spread, randomized digital experiments have become the gold standard for understanding what works and why. But with that power comes real complexity: designing experiments at scale, drawing valid inferences, and managing the statistical challenges that come with it.
Hosted by the MIT Initiative on the Digital Economy, CODE@MIT brings together the researchers doing this work at the highest level, economists, computer scientists, sociologists, and policy experts from academia, industry, and government, to share findings, sharpen methods, and build a research community that keeps pushing the field forward.
This year, CODE@MIT returns with panel discussions and breakout sessions that will provide deep dives into emerging areas of study, as well as big-picture discussions about what this means for science, technology and business on a macro level. Please save the date for the conference that's reshaping how researchers and practitioners think about digital experimentation.