I am an Assistant Profess of Computer Science at Bard College, in the Computational Sciences program.
What is my research area?
I am a qualitative data theoretician; I study the “who, when, where, how, and why” of dataset creation, focusing on how the datasets used to train and refine AI systems come into being and the values and attitudes they represent. The central focus of my work is re-positioning data workers as dataset auditors, a professional transition that requires increased respect and better treatment of data workers, yielding better-contextualized datasets that produce safer AI systems.
A longer “who, what, where, when, and how” statement on my research can be found here. And my CV is here.
Why is this website so boring / ugly / basic?
It’s intentional! In both research and personal practice, I’m interested in lowering the ecological cost (and harms) of computing while simultaneously broadening access. This site’s simplistic design is meant to be low-resource, with two goals: 1) to make it easy for those with old and aging hardware (or limited connectivity) to still access it, and, 2) minimizing necessary energy usage required to interact with this site. It’s also easier to make “boring” (or basic) sites accessible, or more amenable to assistive tools, like screen readers.