Lecture

Social Identity: Group Relations

Related lectures (18)

Explores social identity, categorization, and intergroup conflicts, emphasizing the impact of group interactions on perceptions and behaviors.

Explores intergroup discrimination mechanisms and the impact of social support.

Examines group formation, social identity, stereotypes, and ethnic conflicts, emphasizing the impact of ethnocentrism and urban environments.

Delves into the impact of groups on individual behavior and intergroup relations.

Covers motivation, bias, stress, and learning routines in education, emphasizing the impact of social identity and unconscious biases.

Explores cohomology and the cross product, demonstrating its application in group actions like conjugation.

Delves into implicit bias and stereotype threat in STEM education, exploring their impact on engagement and attainment.

Explores creating dashboards in ServiceNow, focusing on advantages, transition from homepages, and important concepts like tasks and incidents.

Explores how minority influence is achieved through a long process involving revelation, conflict, consistency, and conversion.

Delves into implicit biases, their recognition, avoidance, effectiveness of training programs, and origins of gender stereotypes.

Covers the importance of inclusive restrooms, mental health, and the impact of woke culture at EPFL.

Delves into the underrepresentation of women in leadership, addressing implicit bias, gender stereotypes, and social identity theory.

Explores the support services and environment of Moodle at EPFL, including group modes, admin tools, course management, and user interactions.

Covers the definitions and basic results of endomorphisms and automorphisms of totally disconnected locally compact groups.

Explores the universal property of groups, defining homomorphisms and exploring subgroup properties.

Delves into symmetries in physics, covering group theory, perturbation, and quantification.

Covers the Bayes discriminant rule for allocating individuals to populations based on measurements and prior probabilities.

Explores invariant definitions in sets, groups, and automorphisms, including p-divisible groups and free abelian groups.