By clicking “Accept All Cookies,” you agree to the storing of cookies on your device to enhance site navigation and analyze site usage.

Skip to main content

2020 Conference on Digital Experimentation

Bringing together leading researchers conducting and analyzing large scale randomized experiments in digitally mediated social and economic environments.

December 19 - 20, 2020

11:00 am - 3:00 pm EST

MIT Media Lab

75 Amherst St

Cambridge, MA 02139

The newly emerging capability to rapidly deploy and iterate micro-level, in-vivo, randomized experiments in complex social and economic settings at population scale is, in our view, one of the most significant innovations in modern social science. As more and more social interactions, behaviors, decisions, opinions and transactions are digitized and mediated by online platforms, our ability to quickly answer nuanced causal questions about the role of social behavior in population-level outcomes such as health, voting, political mobilization, consumer demand, information sharing, product rating and opinion aggregation is becoming unprecedented. This new toolkit portends a sea-change in our scientific understanding of human behavior and dramatic improvements in social and business policy as a result. When appropriately theorized and rigorously applied, randomized experiments are the gold standard of causal inference and a cornerstone of effective policy. But the scale and complexity of these experiments also create scientific and statistical challenges for design and inference. Different disciplines are approaching causal inference in contrasting, complementary ways. The purpose of the Conference on Digital Experimentation at MIT (CODE) is to bring together leading researchers conducting and analyzing large scale randomized experiments in digitally mediated social and economic environments, in various scientific disciplines including economics, computer science and sociology, in order to lay the foundation for ongoing relationships and to build a lasting multidisciplinary research community.

Key Dates

Workshop: November 19-20, 2020 Abstract Submission Deadline: September 22, 2020 Notification to Authors: October 6, 2020 Final Abstract Deadline (Accepted Authors Only): October 26, 2020 Early Registration Deadline: October 19, 2020 GA Registration Deadline: November 18, 2020


Please register via this link or via the button above Early Registration: $50 (ends October 19, 11:59 pm EST) General Admission: $100 (ends November 18, 11:59 pm EST) IDE Members and Stakeholders: Gratis. (Refer to the IDE Newsletter for your code, or contact Please note: Viewing information will be emailed to registered attendees prior to conference at the email address used to register.