Hi, I'm Dan Calacci.

I'm a graduate student and research assistant at the Human Dynamics group at the MIT Media Lab.

My current work focuses on measuring cities at scale using location data from mobile phones. We're using this data to measure segregation in cities more effectively. I'm interested in thinking about how understanding human behavior can help us build better cities that are more inclusive, humanistic, and thoughtful. The work that I do often utilizes large datasets collected by private firms. I'm trying to think critically about what it means to use private data (collected from the public) for public interest work.

In the past, I've worked on personalized deep learning models that predict your happiness from social interactions, measuring behavioral health using mobile phones, discovering political framing automatically using machine learning, and inferring the hidden networks that relate congresspeople.