Matt Hardy

mdhardy at princeton dot edu
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I'm a third-year PhD student and NDSEG fellow at Tom Griffiths' Computational Cognitive Science Lab at Princeton University.

I use computational modeling, behavioral experiments, and agent-based simulations to study how people deal with uncertainty and complexity in their everyday decision making. Often, this involves integrating individual-level models of cognition with distributed models of social dynamics. I am especially interested in using this framework to improve social network design and redesign choice architectures.

Before my PhD, I was an undergraduate at the University of Toronto, where I majored in both statistics and economics and minored in mathematics. During this time, I spent two summers at MIT working with Whitney Newey and Jerry Hausman on applied and theoretical econometrics, and one summer at Via as a data science intern.

I also enjoy data and model visualization and have recently started building electric scatter.


journal papers

Krafft, P., Thompson, W., Hardy, M. & Griffiths T.L. (2021). Overcoming individual limitations through distributed computation: Rational information accumulation in multi-generational populations. Submitted for review. Email for pdf.

conference papers

Hardy, M. Thompson, W., Krafft, P. & Griffiths T.L. Population-level amplification of perceptual bias. Project presented at three conferences [1,2,3]. pdf

Callaway, F., Hardy, M. & Griffiths T.L. Optimal nudging. Project presented at two conferences [1,2]. pdf

Hardy, M. & Griffiths T.L. Demonstrating the importance of prior knowledge in risky choice. Paper presented at the 41st Annual Conference of the Cognitive Science Society. pdf

working papers

Hardy, M. Thompson, W., Krafft, P. & Griffiths T.L. Optimal mitigation of social bias amplification. Email for current draft.

Callaway, F., Hardy, M. & Griffiths T.L. A resource-rational approach to behavioral nudging. Email for current draft.