Mark Díaz is a Ph.D. Candidate in Technology & Social Behavior at Northwestern University. His primary research focuses on the use of algorithmic tools to study human behavior, particularly the behavior of underrepresented social groups. His work seeks to understand ways of involving members of underrepresented groups in the development and evaluation of more equitable and trustworthy data-driven systems. His past work has included a systematic analysis of age-related bias in sentiment analysis algorithms as well as a content analysis examining how older adult bloggers discuss and respond to age discrimination. His other recent work has involved studying technology use and perceptions of technology policy in low-income Chicago neighborhoods. He currently sits in the Collaborative Technology Lab at Northwestern University.
- Díaz, M., & Diakopoulos, N. (2019). Whose walkability?: Challenges in algorithmically measuring subjective experience. In Proceedings of the ACM on Human-Computer Interaction – CSCW, 3(CSCW), Austin, TX.
- Dickinson, J., Díaz, M., Le Dantec, C. A., & Erete, S. (2019). “The cavalry ain’t coming in to save us”: Supporting capacities and relationships through civic tech. In Proceedings of the ACM on Human-Computer Interaction – CSCW, 3(CSCW), Austin, TX.
- Díaz, M., Johnson, I., Lazar, A., Piper, A. M., & Gergle, D. (2018). Addressing age-related bias in sentiment analysis. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, Montreal, QC, Canada.