Research

Published

2025

2024

  • Yan Leng and Drew Dimmery. (2024) "Calibration of Heterogeneous Treatment Effects in Randomized Experiments." Information Systems Research
    Preprint Published

2023

  • Andrew Guess, Neil Malhotra, Jennifer Pan, Pablo Barberá, Hunt Alcott, Taylor Brown, Adriana Crespo-Tenorio, Drew Dimmery, Deen Freelon, Matthew Gentzkow, Sandra González-Bailón, Edward Kennedy, Young Mie Kim, David Lazer, Devra Moehler, Brendan Nyhan, Carlos Velasco Rivera, Jaime Settle, Daniel Thomas, Emily Thorson, Rebekah Tromble, Arjun Wilkins, Magdalena Wojcieszak, Beixian Xiong, Chad Kiewet de Jong, Annie Franco, Winter Mason, Natalie Jomini Stroud, and Joshua Tucker. (2023) "How do social media feed algorithms affect attitudes and behavior in an election campaign?." Science
    Data Published
  • Andrew Guess, Neil Malhotra, Jennifer Pan, Pablo Barberá, Hunt Alcott, Taylor Brown, Adriana Crespo-Tenorio, Drew Dimmery, Deen Freelon, Matthew Gentzkow, Sandra González-Bailón, Edward Kennedy, Young Mie Kim, David Lazer, Devra Moehler, Brendan Nyhan, Carlos Velasco Rivera, Jaime Settle, Daniel Thomas, Emily Thorson, Rebekah Tromble, Arjun Wilkins, Magdalena Wojcieszak, Beixian Xiong, Chad Kiewet de Jong, Annie Franco, Winter Mason, Natalie Jomini Stroud, and Joshua Tucker. (2023) "Reshares on social media amplify political news but do not detectably affect beliefs or opinions." Science
    Data Published
  • Brendan Nyhan, Jaime Settle, Emily Thorson, Magdalena Wojcieszak, Pablo Barberá, Annie Chen, Hunt Alcott, Taylor Brown, Adriana Crespo-Tenorio, Drew Dimmery, Deen Freelon, Matthew Gentzkow, Sandra González-Bailón, Andrew Guess, Edward Kennedy, Young Mie Kim, David Lazer, Neil Malhotra, Devra Moehler, Jennifer Pan, Daniel Thomas, Rebekah Tromble, Carlos Velasco Rivera, Arjun Wilkins, Beixian Xiong, Chad Kiewet de Jong, Annie Franco, Winter Mason, Natalie Jomini Stroud, and Joshua Tucker. (2023) "Like-minded sources on Facebook are prevalent but not polarizing." Nature
    Data Published
  • Miloš Fišar, Ben Greiner, Christoph Huber, Elena Katok, Ali Ozkes, and Management Science Reproducibility Collaboration. (2023) "Reproducibility in Management Science."
    Preprint Published
  • B. Nyhan, Jaime Settle, Emily A. Thorson, Magdalena Wojcieszak, Pablo Barberá, Annie Y Chen, Hunt Allcott, Taylor Brown, Adriana Crespo-Tenorio, Drew Dimmery, Deen Freelon, M. Gentzkow, Sandra González-Bailón, A. Guess, Edward Kennedy, Y. Kim, David Lazer, Neil Malhotra, D. Moehler, Jennifer Pan, Daniel Robert Thomas, Rebekah Tromble, C. Rivera, Arjun S. Wilkins, Beixian Xiong, Chad Kiewiet de Jonge, Annie Franco, Winter Mason, N. Stroud, and Joshua A. Tucker. (2023) "Author Correction: Like-minded sources on Facebook are prevalent but not polarizing." Nature
    PDF Published

2022

  • David Arbour, Drew Dimmery, Tung Mai, and Anup Rao. (2022) "Online Balanced Experimental Design." ICML
    Preprint Github Published
  • Han Wu, Sarah Tan, Weiwei Li, Mia Garrard, Adam Obeng, Drew Dimmery, Shaun Singh, Hanson Wang, Daniel Jiang, and Eytan Bakshy. (2022) "Distilling Heterogeneity: From Explanations of Heterogeneous Treatment Effect Models to Interpretable Policies."
    Preprint Published

2021

  • David Arbour, Drew Dimmery, and Arjun Sondhi. (2021) "Permutation Weighting." ICML
    Preprint Published
  • David Arbour, Drew Dimmery, and Anup Rao. (2021) "Efficient Balanced Treatment Assignments for Experimentation." AISTATS
    Preprint Github Published
  • My Phan, David Arbour, Drew Dimmery, and Anup Rao. (2021) "Designing Transportable Experiments Under S-admissability." AISTATS
    Preprint Github Published

2020

  • Arjun Sondhi, David Arbour, and Drew Dimmery. (2020) "Balanced off-policy evaluation in general action spaces." AISTATS
    Preprint Published

2019

  • Hongzi Mao, Shannon Chen, Drew Dimmery, Shaun Singh, Drew Blaisdell, Yuandong Tian, Mohammad Alizadeh, and Eytan Bakshy. (2019) "Real-world Video Adaptation with Reinforcement Learning." ICML Workshop - RL4RealLife
    Preprint Published
  • Drew Dimmery, Eytan Bakshy, and Jasjeet Sekhon. (2019) "Shrinkage Estimators in Online Experiments." KDD
    Preprint Published

2016

  • Drew Dimmery and Andrew Peterson. (2016) "Shining the Light on Dark Money: Political Spending by Nonprofits." RSF: The Russell Sage Foundation Journal of the Social Sciences
    Published

2011

  • C.T Kullenberg, S.R. Mishra, Drew Dimmery, and the NOMAD Collaboration. (2011) "A search for single photon events in neutrino interactions." Physics Letters B
    Preprint Published

Working Papers / Non-archival

2025

  • Molly Offer-Westort and Drew Dimmery. (2025) "Experimentation for Homogenous Policy Change."
    Preprint
  • Hunt Allcott, Matt Gentzkow, Benjamin Wittenbrink, Juan Carlos Cisneros, Adriana Crespo-Tenorio, Drew Dimmery, Deen Freelon, Sandra González-Bailón, Andrew Guess, Y. Kim, David Lazer, Neil A. Malhotra, D. Moehler, Sameer Nair-Desai, Brendan Nyhan, Jennifer Pan, Jaime Settle, Emily Thorson, Rebekah Tromble, Carlos Velasco, Arjun S. Wilkins, Magdalena Wojcieszak, Annie Franco, Chad Kiewiet de Jonge, Winter Mason, Talia Stroud, and J. Tucker. (2025) "The Effect of Deactivating Facebook and Instagram on Users’ Emotional State."
    Preprint
  • Hunt Allcott, Matt Gentzkow, Ro’ee Levy, Adriana Crespo-Tenorio, Natasha Dumas, Winter Mason, D. Moehler, Pablo Barberá, Taylor Brown, Juan Carlos Cisneros, Drew Dimmery, Deen Freelon, Sandra González-Bailón, Andrew Guess, Y. Kim, David Lazer, Neil A. Malhotra, Sameer Nair-Desai, Brendan Nyhan, Ana Carolina Paixao de Queiroz, Jennifer Pan, Jaime Settle, Emily Thorson, Rebekah Tromble, Carlos Velasco, Benjamin Wittenbrink, Magdalena Wojcieszak, Shiqi Yang, Saam Zahedian, Annie Franco, Chad Kiewiet de Jonge, Talia Stroud, and J. Tucker. (2025) "The Effects of Political Advertising on Facebook and Instagram Before the 2020 US Election."
    Preprint

2023

  • Laura Koesten, Drew Dimmery, Michael Gleicher, and Torsten Moller. (2023) "Subjective visualization experiences: impact of visual design and experimental design."
    Preprint

2019

  • Sam Daulton, Shaun Singh, Vashist Avadhanula, Drew Dimmery, and Eytan Bakshy. (2019) "Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints." NeurIPS Workshop - Safety and Robustness in Decision Making
    Preprint