At the Nicolas lab we study how people make sense of the social world. Our research is at the intersection of social cognition and interdisciplinary quantitative methods (e.g., machine learning and natural language processing). Specific topics include spontaneous stereotyping, perceptions of individuals who belong to multiple social groups (e.g., Multiracial and intersectional identities), first impressions based on facial appearance, and social biases in Artificial Intelligence.
Social Cognition, Person Perception, Quantitative Methods, Bias in Machine Learning
Stigma, Self & Identity, Health & well-being
Social cognition, Group membership, Bias and stereotyping, Face perception
Social Perception, Intersectional Identity, Structural & Systemic Bias, Social Equity
Spatial agency bias, Stereotyping, Self-perception
Bias & machine learning, Psychiatric disorders, First impressions