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Samuel Klein

Academic Researcher | Doctoral Candidate, UC Davis

Person Perception | Stereotyping & Prejudice | Computational Modeling

Despite the astonishing sophistication of the human mind, we often find ourselves entangled in a web of misjudgments, overgeneralizations, and discriminatory decisions. Our remarkable mental machinery, which works so well so often, also frequently leads us astray in the social world

Our biased judgments of others vary across a vast array of contexts, big and small, from our countries of residence to the rooms we occupy, from our demographic identities shared by millions to the individuals in front of us, and even from the generation we belong to down to the hours of day

My research focuses on the interplay between context and cognition: 1) how contexts shape which information we attend to, 2) the mental processes activated in response to this information, and 3) the judgments which follow. I conduct this research using a diverse toolkit of computational models, behavioral paradigms, and data sources

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Publications

Klein, S. A. W. & Sherman, J. W. (under review). Measuring the Impact of Multiple Social Cues to Drive Theoretical Advancement in Person Perception Research.
Klein, S. A. W. & Todd, A. R. (under review). Emotion expression salience and racially biased weapon identification: a diffusion modeling approach
Calanchini, J., Schmidt, K., Sherman, J. W., & Klein, S. A. (2022). The contributions of positive outgroup and negative ingroup evaluation to implicit bias favoring outgroups. Proceedings of the National Academy of Sciences
Klein, S. A., & Sherman, J. W. (2022). Measuring and modeling implicit cognition. The Routledge Handbook of Philosophy and Implicit Cognition
Sherman, J. W., & Klein, S. A. (2021). The four deadly sins of implicit attitude research. Frontiers in Psychology
Klein, S. A., Hutchings, R. J., & Todd, A. R. (2021). Revising mental representations of faces based on new diagnostic information. Cognition
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Piecing Apart

Person Perception

Conventional measures cannot distinguish which sources of information (e.g., race, behavior) influence impressions
Multinomial processing trees are used to measure the unique impacts of multiple information sources in person perception

A Cognitive Atlas of Bias

The largest decomposition of implicit bias data: ~1 billion IAT responses, 6 attitude domains, +16 years, x8 demographics
Multinomial processing trees were used to examine the expression of prejudice in society

Salient Cues Shift

Decision Processes

Noticing race information can bias decisions-making,
like weapon identification
Hierarchical diffusion modeling was used to examine the mechanism by which salient emotion (vs. race) information alters racially biased
weapon identification

Are You Interested In Social Cognition?

Join the Social Cognition Meetup, a monthly meeting between a growing number of early-career researchers interested in social cognition 

SCM hosts talks for members to receive feedback on research at various stages of the research pipeline, discussions on the latest innovations and trends in the field, and invited talks from more senior researchers

Interested in joining or giving a talk to the group of rising stars?

Email either me or Bastian Weitz

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