New MIT podcast explores the promise and peril of data
How is data used to lead, mislead, manipulate, and inform viewpoints and decisions? The MIT Institute for Data, Systems, and Society investigates.
Faculty
Dean Eckles is the Mitsubishi Career Development Associate Professor and an Associate Professor of Marketing at MIT Sloan. He is affiliate faculty at the Institute for Data, Systems & Society in the Schwarzman College of Computing.
His substantive research examines people's interactions with and through communication technologies, especially the ways these technologies mediate, amplify, and direct social influence. This work sometimes requires or benefits from new analytical methods, so Eckles also works on applied statistics, design of field experiments, and causal inference.
Prior to joining MIT, he was a scientist at Facebook, where he worked on many product areas and analytical methods, including News Feed, messaging, advertising, tools for randomized experiments, and survey methods. Eckles previously worked in research at Nokia and Yahoo.
Eckles received his BA in philosophy, a BS and MS in cognitive science, an MS in statistics, and a PhD in communication, all from Stanford University.
Eckles, Dean, and Eytan Bakshy. Journal of the American Statistical Association Vol. 116, No. 534 (2021): 507-517. Supplemental Materials. arXiv Preprint.
Eckles, Dean, René F. Kizilcec, and Eytan Bakshy. Proceedings of the National Academy of Sciences Vol. 113, No. 27 (2016): 7316-7322.
Mohsen Mosleh, Cameron Martel, Dean Eckles, and David G. Rand. In Proceedings of the 2021 ACM CHI Virtual Conference on Human Factors in Computing Systems, New York, NY:. Forthcoming.
Aronow, Peter M., Dean Eckles, Cyrus Samii, and Stephanie Zonszein. In Cambridge Handbook of Advances in Experimental Political Science, edited by Donald P. Green and James Druckmann, Cambridge, UK: Cambridge University Press. Forthcoming. arXiv Preprint.
Yang, Jeremy, Dean Eckles, Paramveer Dhillon, and Sinan Aral. Management Science. Forthcoming. arXiv Preprint.
Jahani, Eaman, Samuel P. Fraiberger, Michael Bailey, and Deak Eckles, MIT Sloan Working Paper 6875-22. Cambridge, MA: MIT Sloan School of Management, January 2023.
How is data used to lead, mislead, manipulate, and inform viewpoints and decisions? The MIT Institute for Data, Systems, and Society investigates.
From designing intelligent decision processes to tapping the full power of deep learning, here are data practices to adopt now from MIT Sloan analytics faculty.
Associate Prof. Dean Eckles moderated the "Algorithmic Transparency” session at the Social Media Summit at MIT.
At The Social Media Summit, conversations ranged from the war in Ukraine and disinformation to transparency in algorithms and responsible AI.
[Prof.] Dean Eckles [and co-authors] said their study provided the first systematic analysis of cross-platform campaigns.
... research supports the idea that social media can be a force for pro-vaccine persuasion, under the right circumstances.