Zachary Wojtowicz
(why-toe-vitch)
Postdoctoral Fellow at MIT
Ph.D. in Behavioral Economics,
M.A. in Machine Learning from Carnegie Mellon University
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I work at the intersection of behavioral economics and machine learning. My research examines how psychological factors impact the efficiency of digital platforms, firms, and other social systems. I apply these insights to study how computational technologies can be applied to enhance people's ability to learn, decide, collaborate, and create. I am currently a postdoctoral fellow at MIT, advised by Sendhil Mullainathan, Asu Ozdaglar, and Daron Acemoglu.
Working Papers
Publications
With George Loewenstein. The Journal of Economic Literature, 2025
Willful Inattention: Keeping Aversive Information Out of Mind
With Andras Molnar, Russell Golman, and George Loewenstein. Current Opinion in Psychology, 2025
Push and Pull: A Framework for Measuring Attentional Agency on Digital Platforms
Undermining Mental Proof: How AI Can Make Cooperation Harder by Making Thinking Easier
With Simon DeDeo. Proceedings of the AAAI Conference on Artificial Intelligence, 2025
When and Why is Persuasion Hard? A Computational Complexity Result
Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society, 2024
Cognition: A Study in Mental Economy
With George Loewenstein. Cognitive Science, 2023
The Motivational Processes of Sense-Making
Curiosity and the Economics of Attention
With George Loewenstein. Current Opinion in Behavioral Sciences, 2020
From Probability to Consilience: How Explanatory Values Implement Bayesian Reasoning
With Simon DeDeo. Trends in Cognitive Science, 2020
Media Coverage
Other Research
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