Elizabeth (Liz) Kaziunas: I’m currently a Postdoctoral Researcher at AI Now, a research institute at New York University examining the social impact of artificial intelligence. My work spans the fields of human-computer interaction (HCI), computer-supported cooperative work (CSCW), and health informatics. Drawing on interpretivist methods to conduct ethnographic fieldwork, participatory approaches to design, and theory from science and technology studies (STS), I investigate a wide range of sociotechnical factors that impact health management. I am particularly interested in the practices and politics of ‘care’ in the age of health datafication, including types of information and machine work, emotional labor, and new forms of expertise needed to live with algorithmic models of medicine.
I completed my PhD at University of Michigan's School of Information in 2018 where I was advised by Mark Ackerman. My thesis focused on the everyday experiences of people managing chronic illness and articulated a design narrative of “lived health” that explored the possibilities (and critical dependencies) that comes with using health information and technology in diverse social worlds. While at Michigan, I was a member of the SocialWorlds research group, MISC (Michigan Interactive Social Computing), and a former Open Data Research Fellow.
Co-organizing CSCW 2019 Workshop: Identifying Challenges and Opportunities in Human–AI Collaboration in Healthcare. Position papers due Sept. 26, 2019!
Nov. 9-13: Presenting new paper, “Precarious Interventions: Designing for Ecologies of Care” at CSCW 2019 on research from a community behavioral health research project with Mike Klinkman and Mark Ackerman.
Sept. 4-7: Presenting paper at 4S 2019: “Tracing the Contours of Algorithmic Care: Logics of “Real-Time” Mental Health Interventions.”
Excited to have a position paper (with collaborator Roel Dobbe) on “Designing for Infrastructural AI: Hidden Labors, Unruly Contingencies, and Ecological Costs” accepted to the CHI 2019 workshop, Where is the Human? Bridging the Gap Between AI and HCI.