Luke Hewitt
I work on computational & experimental tools for measuring what changes people’s beliefs/attitudes, with application to effective advocacy, public health communication, AI safety, and social science methodology. My research combines RCTs, LLMs, expert forecasting and hierarchical Bayesian models.
Currently:
- I’m co-founder/director of Rhetorical Labs, a research collective which uses RCT experiments and machine learning to help public communication campaigns improve the impact of their messaging.
- I’m a Senior Research Fellow in Stanford PASCL, where I study the capacity of Large Language Models to predict treatment effects in the social/behavioral sciences.
- I’m a member of the South Park Commons technical community (SF Bay hub)
- I’m co-PI for the SSRC Mercury Project team on Combatting health misinformation with community-crafted messaging.
Previously:
- PhD in AI / Cognitive Science at MIT
- Undergrad / MEng in Mathematical Computation at UCL
- Research data scientist at Swayable (building RCT experiment/analysis methodology)
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Academic research by topic
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Persuasion / communication
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Artificial Intelligence
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