Goldenberg Lab

We are a group of social scientists who study questions related to the behavior of individuals and collectives, examined especially through the lens of affective processes such as emotions and well-being.
Much of our research focuses on trying to understand what measures can be taken to predict and change emotions when they are unhealthy or unhelpful, which may contribute to aggression, anxiety, or general unhappiness. We often take a macro approach in our work, trying to create large-scale change in groups rather than specific individuals. We both pay specific attention to how technologies such as Large Language Models and digital media play a role in eliciting unhelpful emotions and examine whether they can be used to help people manage their emotions.
Our work often tries to integrate theories from psychology, complex systems, cognitive science, and philosophy, and our methods are a mix of experimental work, big data analysis, computational modeling, and machine learning.
For our code check out our github