Goldenberg Lab

We are a group of social scientists who study questions related to social behavior, either between people or between people and machines, examined especially through the lens of affective processes such as emotions and well-being.
Much of our research focuses on understanding what measures can be taken to predict and change how people feel. We often take a macro approach in our work, aiming to create large-scale change across large groups of people. We 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 AI.
For our code check out our github