Past Member

Dan Calacci

Former Research Assistant

Study: AI could lead to inconsistent outcomes in home surveillance

Researchers find large language models make inconsistent decisions about whether to call the police when analyzing surveillance videos.

The research on video doorbells—which includes a paper from the Human Dynamics group—hasn't found strong evidence that they reduce crime.

We're so proud of everything you've accomplished here, and can't wait to see what you do next.

A tool developed in collaboration with nonprofit worker groups, allowing app-based delivery workers to track and share aggregate pay data.

Dan Calacci, a PhD student in the Human Dynamics group, talks about one of his projects that centers around the gig economy.

After collecting the largest dataset of corporate surveillance in the U.S., consisting of every Amazon Ring camera that has posted to the R…

by Dharna Noor...The researchers then partnered with a PhD student at Massachusetts Institute of Technology, Dan Calacci, to build a b…

As a pilot project to develop new data pooling and analysis tools, we created a texting service that gig economy workers could use to pool …

By Dell Cameron and Dhruv MehrotraAs reporters raced this summer to bring new details of Ring’s law enforcement contracts to…