I'm a senior scientist on the Facebook Core Data Science Team, where I lead the Adaptive Experimentation group. I am particularly interested developing scalable and robust methods for causal inference and reinforcement learning that help people design and optimize better systems. I am also interested in substantive questions around the role of peer effects in online and offline behaviors, including civic engagement.
Here are a few of my recent publications. For a complete list of published papers, see my Google Scholar page and (slightly out of date) CV.
- Social Influence and Political Mobilization: Further Evidence from a Randomized Experiment in the 2012 U.S. Presidential Election.
Jason Jones, Robert Bond, Eytan Bakshy, Dean Eckles, James Fowler. PLoS ONE, 2017.
- Estimating Peer Effects with Peer Encouragement Designs.
Dean Eckles, Rene Kizilcec, Eytan Bakshy. PNAS 2016.
- Selection Effects in Online Sharing: Consequences for Peer Adoption.
Sean J. Taylor, Eytan Bakshy, Sinan Aral. EC 2013.
- Social Influence in Social Advertising: Evidence from Field Experiments.
Eytan Bakshy, Dean Eckles, Rong Yan, Itamar Rosenn. EC 2012.
- The Role of Social Networks in Information Diffusion.
Eytan Bakshy, Itamar Rosenn, Cameron A. Marlow, Lada A. Adamic. WWW 2012.
- Social Influence and Reciprocity in Online Gift Giving.
Rene Kizilcec, Eytan Bakshy, Dean Eckles, Moira Murke. CHI 2018.
Exposure to Ideologically Diverse News and Opinion on Facebook.
Eytan Bakshy, Solomon Messing, Lada Adamic. Science, 2015.
Additional materials: Technical notes on paper and future research, replication materials and additional data.
- Quantifying the Invisible Audience in Social Networks.
Michael Bernstein, Eytan Bakshy, Moira Burke, Brian Karrer. CHI 2013.
- Center of Attention: How Facebook Users Allocate Attention across Friends.
Lars Backstrom, Eytan Bakshy, Jon Kleinberg, Thomas M. Lento, Itamar Rosenn. ICWSM 2011.
- Everyone's an Influencer: Quantifying Influence on Twitter.
Eytan Bakshy, Jake M. Hofman, Winter A. Mason, Duncan J. Watts. WSDM 2011.
- Social Influence and the Diffusion of User-Contributed Content
Eytan Bakshy, Brian Karrer, Lada A. Adamic. EC 2009.
Methodology and experimentation
- AE: A domain-agnostic platform for adaptive experimentation.
Eytan Bakshy, Lili Dworkin, Brian Karrer, Konstantin Kashin, Ben Letham, Ashwin Murthy, Shaun Singh. NeurIPS Systems for ML Workshop, 2018.
- Scalable Meta-Learning for Bayesian Optimization.
Matthias Feurer, Benjamin Letham, Eytan Bakshy. ICML AutoML Workshop, 2018.
- Bayesian optimization for policy search via mixed online-offline experimentation.
Ben Letham & Eytan Bakshy. Accepted with minor revisions at JMLR.
- Bias and High-Dimensional Adjustment in Observational Studies of Peer Effects.
Dean Eckles & Eytan Bakshy. R&R at JASA.
- Shrinkage Estimators for Causal Effects in Online Experiments.
Eytan Bakshy, Drew Dimmery, Jasjeet Sekhon. Working paper.
- Optimal Treatment Allocation for Experiments with Many Correlated Treatments.
Sören Künzel, Eytan Bakshy, Brian Karrer, Ben Letham, and Jasjeet Sekhon. Working paper.
- Estimating Media Alignment with Publicly Revealed Preferences.
Eytan Bakshy, Solomon Messing, Will Fithian. Working paper.
- Contextual Adaptive Design for Heterogeneous Survey Response.
Eytan Bakshy & Drew Dimmery. Working paper.
- Asymmetric Effects of Personalized Social Cues: Evidence from Field Experiments.
Sean J. Taylor, Eytan Bakshy, Dean Eckles, Sinan Aral. Working paper.
I am also the creator of PlanOut. It's an open-source framework for designing and implementing complex behavioral science experiments.
I find PlanOut to be helpful for thinking about and planning experiments, and hope that people can use it to run interesting experiments.
Visit the PlanOut homepage and give it a try.
For more on designing and deploying online field experiments with PlanOut, check out our paper on the subject.
Coverage on papers and Data Science Team posts:
Exposure to Ideologically Diverse Information on Facebook
Coverage on original paper @ New York Times, Science Magazine News, Christian Science Monitor
- Big experiments: Big data's friend for making decisions.
Coverage @ Junk Charts / Numbersense
- Showing Support for Marriage Equality on Facebook.
Coverage @ AllThingsD, The Atlantic, Gizmodo, Wall St. Journal, Forbes, CNN, BBC News
- Estimating Audience Size on Facebook
- The 2012 Election through the Facebook Lense
Coverage @ MIT Technology Review, Talking Points Memo
- Rethinking Information Diversity in Networks
Coverage @ Slate, New Scientist