Amit Goldenberg

Amit Goldenberg is an Assistant Professor of Business Administration at Harvard Business School, where he is a member of the Negotiation, Organizations & Markets unit. He is also an affiliate with Harvard's Department of Psychology and a member of the Digital Data and Design Institute (D^3). His academic work bridges the fields of psychology, business, and technology, focusing on how emotions operate in social and group contexts.

Education and Background

While specific educational details are not provided in the text, Professor Goldenberg has established himself as a leading researcher in the field of collective emotions and their implications for organizational behavior and social dynamics.

Research Interests

Professor Goldenberg's research focuses on understanding what makes people emotional in social and group contexts, and how such emotions can be changed when they are unhelpful or undesired. He is particularly interested in how technology is used for both emotion detection and regulation. His work integrates experimental psychology examining behavior at both individual and collective levels using a multi-method approach that combines behavioral experiments, analysis of data from digital media, computational modeling, and AI.

His specific research areas include collective emotions, emotion regulation in groups, the impact of social media on emotional experiences, human-AI emotional interactions, and the application of psychological principles to organizational contexts.

Scientific Awards and Recognition

• Winner of the 2024 Janet Taylor Spence Award for Transformative Early Career Contributions, given by the Association for Psychological Science
• Selected as a 2023 Rising Star by the Association for Psychological Science

Advising and Professional Contributions

Professor Goldenberg leads the Goldenberg Lab, a research group focused on studying questions related to the behavior of individuals and collectives through the lens of affective processes such as emotions and well-being. His lab takes a macro approach to understanding what measures can be taken to predict and change emotions when they are unhealthy or unhelpful, with particular attention to how technologies like Large Language Models and digital media play roles in both eliciting and managing emotions.

His work integrates theories from psychology, complex systems, cognitive science, and philosophy, employing methods that include experimental work, big data analysis, computational modeling, and machine learning. He has developed numerous teaching cases at Harvard Business School covering topics like AI companions for older adults, online insurance platforms, and ransomware attacks.

Research Teams and Labs

Professor Goldenberg directs the Goldenberg Lab, which brings together social scientists to study individual and collective behavior through affective processes. The lab maintains active GitHub repositories with templates and code for research projects, indicating a strong emphasis on computational methods and reproducible research. His lab collaborates across disciplines, working with computer scientists, psychologists, and organizational behavior researchers to advance understanding of emotion in social contexts.