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
Social Perception, Intersectional Identity, Structural & Systemic Bias, Social Equity
Concealable Stigma, Anticipated Stigma, Sexual Minorities, Healthcare Interactions, Health Disparities
Social Cognition, Social Perception
Psychological Disorders, Stereotypes & Bias
Social Cognition, Philosophy of Mind, Social Decision-Making, Bias & Stereotyping, Social Perception
Social Media Bias, Political Decision-making, Ethical AI