// About

Hi there. I am a researcher, designer, and developer. I like pictures big in every way from big data to cultural theory. As a PhD student in the Human Centred AI Lab at the University of Oxford I am investigating how institutional power is mediated through technical infrastructures from user interfaces to web protocols and data structures in a 3-year studentship with the Ethical Web and Data Architectures Project at the Oxford Martin School. I have also studied the Social Sciences of the Internet at the Oxford Internet Institute.

Before returning to academia I worked on the strategic insights and product management team at Splunk, a Nasdaq 100 company and the world leader in unstructured and machine data analytics. There, I conducted research on applying differential privacy to distributed data analytics systems, virtual workload monitoring and prediction, and applications of ML for process optimization.

In 2017, I earned my BA cum laude with distinction from Yale focusing on cybernetic systems and digital media. I am now London and Oxford based, but always a native San Franciscan at heart.

 

// Recent Publications

ELLJ 2023:

  • D. Calacci and J. Stein, ‘From access to understanding: Collective data governance for workers’, European Labour Law Journal, p. 203195252311679, May 2023, doi: 10.1177/20319525231167981.

CHI 2023:

  • Stein, J. M., Vizgirda, V., Van Kleek, M., Binns, R., Zhao, J., Zhao, R., ... & Shadbolt, N. (2023, April). ‘You are you and the app. There’s nobody else.’: Building Worker-Designed Data Institutions within Platform Hegemony. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-26). https://doi.org/10.1145/3544548.3581114