I direct the Daylight Lab at the UC Berkeley Center for Long-Term Cybersecurity. I am also a worker-owner of DAO DAO, a co-op that builds co-ops.
Working with me
I perform strategic foresight on the future of information technology. My work has shaped practice at a variety of institutions, including CISA, Meta, and the Internet Society. If you’re interested in working with me, please email me at:
Public projects
In reverse-chronological order of when I began work on each):
Internet Atlas - Real-time data and analysis about who controls the global internet. This work has been integrated into Internet Society's Pulse dashboard, covered by CNN, and used by the intelligence community.
MLFailures - Open-access materials to teach students, policymakers how to identify and ameliorate bias in machine learning models. I have taught versions of these materials are used to graduate students, business leaders, and government officials.
Adversary Personas - A game to help non-experts identify security threats. This practice has been integrated into Meta’s threat ideation process, and into the U.S. Cybersecurity and Infrastructure Security Agency (CISA)'s participatory threat modelling process.
Passthoughts - Using brain-machine interface to “think your password.” Passthoughts was the world's first one-step, three-step authentication mechanism, and has been widely-covered in the media (see a partial list here).
Big ideas
I have developed a couple of “Big Ideas” over the years.
Possible futures for the internet are much more diverse than the popular vision of “the splinternet.” For example, grassroots internets could scaffold and support grassroots democracies. (Watch my talk: This internet, on the ground).
Machines can, in theory, read the mind. Why? First, because "the mind" is material, thus amenable to sensing. Second, because our notions of what the mind is move, and have always moved, relative to the capacities of technologies contemporary to them. (This was the subject of my dissertation work: Mind-Reading and Telepathy for Beginners and Intermediates: What People Think Machines Can Know About the Mind, and Why Their Beliefs Matter).
About me
I received my Ph.D. from the UC Berkeley School of Information. My adviser was John Chuang.
All of my papers should be available on Google Scholar without a paywall. If you find a paper you can’t access, please let me know.
I live in xučyun, Ohlone territory. If you do too, check out cafe mak-’amham and consider giving Shuumi.
ewweh ṭuuxi huyyuwiš (brighter days lie ahead)
Nick