I'm a researcher at the UC Berkeley Center for Long-Term Cybersecurity, where I direct the Daylight Lab. I work at the intersection of human-computer interaction (HCI) and computer security.
I blog here. That means, “less than peer reviewed, but more than half-baked.”
Lately, I'm interested in developing better ways for people to identify and address security risks.
mlfailures - For students and data scientists, these labs teach you to identify (and fix) bias, fairness and security issues in machine learning algorithms.
Internet fragmentation - For policymakers, I've been working on ways to measure Internet fragmentation and its effects on geopolitics (trade, alliances, etc). (More here soon).
Theoretically, I'm interested the social process of threat identification: how and why people identify particular risks with particular technologies [ 2, 3, 4 ]. My perspective is heavily informed by science and technology studies (STS) and my methods draw heavily from design research/research-through-design.