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2024 Conference on Digital Experimentation @ MIT (CODE@MIT)

Access agenda and speaker bios below.

October 18 - 19, 2024

8:00 am - 7:00 pm EDT

Samberg Conference Center at MIT

50 Memorial Drive

Cambridge, MA 02142

About CODE@MIT

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.

Thank you to our 2024 CODE@MIT Organizers:

  • Sinan Aral
  • Dean Eckles
  • David Holtz
  • John Horton
  • Alex (Sandy) Pentland

Thank you to our 2024 CODE@MIT Technical Program Committee:

  • Jennifer Allen
  • Madhav Kumar
  • Hause Lin
  •  Sahil Loomba
  • Alex Moehring
  • Peyman Shahidi
  • Hong-Yi Tu Ye
  • Emma Wiles
  • Yuan Yuan

Agenda: Friday, October 18, 2024

Please note this agenda is subject to change.

Agenda: Saturday, October 19, 2024

Please note this agenda is subject to change.

Speaker Bios

Thank you to our 2024 CODE@MIT Sponsors!

Premiere Sponsor:

Reception Sponsor:

Event Sponsors:

 

The 2024 call for abstracts has closed. We encourage you to still register and attend the event. The 2025 call for abstracts will  be available summer 2025.

CALL FOR ABSTRACTS

Access PDF of CODE@MIT Call for Abstracts here.

 Participants will be selected based on submissions of 3-page extended abstracts. Please submit an extended abstract of no more than 3 pages to the ONLINE PORTAL by September 6th, 2024 Please contact (digital@mit.edu) with questions. Abstracts will be evaluated as they are submitted and evaluation will continue until the program is filled. Space is limited, so interested researchers should submit their work as soon as possible. Authors of accepted abstracts will be notified on September 20, 2024 and will be expected to submit a final version as a PDF not to exceed 5 pages, including references and figures, by October 2, 2024. Accepted abstracts will be distributed as informal working notes. Members of the press may attend the event, so please take this into account when choosing the work you submit.

KEY DATES

Conference: Oct. 18-19, 2024

Abstract Submission Deadline: Sept. 6, 2024

Notification to Authors: Sept. 20, 2024

Final Abstract Deadline (Accepted Authors Only): Oct. 2, 2024

Early Registration Deadline: Sept. 30, 2024

General Registration Deadline: Oct. 7, 2024