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2022 Conference on Digital Experimentation @ MIT (CoDE@MIT)

Please save the date for the 2022 CoDE@MIT: October 20-21, 2022 at the Boston Marriott Cambridge.

Event registration is now open. Secure early bird pricing through Sept. 30!

Now accepting abstracts through Sept. 9 see the “Call for Abstracts” below.

October 20 - 21, 2022

8:00 am - 7:30 pm EDT

Boston Marriott Cambridge

50 Broadway

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.

Access the CoDE@MIT Fireside Chat Live on Friday, October 21 at 11:30am ET below. Video feed will go live at the time of the event, please check back then.

Day 1 Schedule

Thursday, October 20
*Schedule is subject to change

  • Check-in, enjoy breakfast and networking and opening remarks by Dean Eckles, MIT Sloan

Day 2 Schedule

Friday, October 21
*Schedule is subject to change

  • Check-in, enjoy breakfast and networking and opening remarks by Dean Eckles, MIT Sloan

Speaker Bios

  • Sinan Aral a global authority on business analytics; award-winning researcher; entrepreneur and venture capitalist. He is the David Austin Professor of Management, Marketing, IT and Data Science at MIT, Director of the MIT Initiative on the Digital Economy (IDE) and a Founding Partner at Manifest Capital. He was the Chief Scientist at SocialAmp, one of the first social commerce analytics companies (until its sale to Merkle in 2012) and at Humin, a social platform that the Wall Street Journal called the first “Social Operating System” (until its sale to Tinder in 2016). He is currently on the Advisory Boards of the Alan Turing Institute, the British National Institute for Data Science in London, the Center for Responsible Media Technology and Innovation in Bergen, Norway and C6 Bank, one of the first all-digital banks of Brazil. Sinan has helped leading Fortune 500 firms, including Facebook, Yahoo!, Twitter, LinkedIn, Snapchat, WeChat, Spotify, AirBnB, Microsoft, Walmart, IBM, Intel, Cisco, Oracle, SAP and The New York Times to realize business value from big data analytics, social media and IT investments. His research has won numerous awards including the Microsoft Faculty Fellowship, the PopTech Science Fellowship, an NSF CAREER Award, a Fulbright Scholarship and the Jamieson Award for Teaching Excellence (MIT Sloan’s highest teaching honor). In 2014, he was named one of the “World’s Top 40 Business School Professors Under 40.” In 2018, he became the youngest ever recipient of the Herbert Simon Award of Rajk László College in Budapest, Hungary. In the same year, his article on the spread of false news online was published on the cover of Science magazine and became the second most influential scientific publication of the year in any discipline. Sinan’s first book, The Hype Machine, which was named a 2020 Best Book on Artificial Intelligence by WIRED, a 2020 Porchlight Best “Big Ideas and New Perspectives” Book Award Winner and among the Best New Technology Books and Best New Economy Books to Read in 2021 by BookAuthority, became an instant classic and a must-read for business leaders at every level of management. A managerial economist and econometrician by training, Sinan’s expertise spans social networks, causal inference, the design and analysis of large-scale digital experiments, machine learning, predictive modeling, natural language processing, AI, big data, marketing, IT, social commerce, ecommerce, behavior change and economic productivity. He earned his PhD at MIT and completed his Master’s degrees at the London School of Economics and at Harvard. You can find Sinan on Twitter @sinanaral and on Instagram @professorsinan.

CALL FOR ABSTRACTS

View PDF Call for Abstracts

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 9, 2022 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 23, 2022 and will be expected to submit a final version as a PDF not to exceed 5 pages, including references and figures, by October 12, 2022.  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: October 20-21, 2022

Abstract Submission Deadline: September 9, 2022

Notification to Authors: September 23, 2022

Early Registration Deadline: September 30, 2022

Final Abstract Deadline (Accepted Authors Only): October 12, 2022

General Registration Deadline: October 19, 2022

CoDE@MIT Organizers:

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

Thank you to our 2022 Technical Program Committee:

  • Jennifer Allen
  • Douglas Guilbeault
  • Madhav Kumar
  • Hannah Li
  • Alex Moehring
  • Emma van Inwegen
  • Yuan Yuan

Thank you to our 2022 CoDE@MIT Premiere Sponsor:

Thank you to our 2022 CoDE@MIT Reception Sponsor: