With the rise of Machine Learning and AI to solve human-focused needs, how do we design and use data science ethically to help empower and support people? This panel discussion at IDEO’s headquarters is part of the Machine Learning and User Experience San Francisco (MLUXSF) group, featuring Elizabeth Churchill (Director of User Experience at Google), Stuart Geiger (staff ethnographer at the UC-Berkeley Institute for Data Science), Irmak Sirer (Design Director at IDEO), Kristian Lum (Lead Statistician at the Human Rights Data Analysis Group), and moderator Sherry Wong (Electronic Frontier Foundation). Each will present a range of perspectives and discuss how they approach this topic, and what to keep in mind for our own practices.
R. Stuart Geiger
Former BIDS Ethnographer Stuart Geiger is now a faculty member at the University of California, San Diego, jointly appointed in the Department of Communication and the Halıcıoğlu Data Science Institute. At BIDS, as an ethnographer of science and technology, he studied the infrastructures and institutions that support the production of knowledge. He launched the Best Practices in Data Science discussion group in 2019, having been one of the original members of the MSDSE Data Science Studies Working Group. Previously, his work on Wikipedia focused on the community of volunteer editors who produce and maintain an open encyclopedia. He also studied distributed scientific research networks and projects, including the Long-Term Ecological Research Network and the Open Science Grid. In Wikipedia and scientific research, he studied topics including newcomer socialization, community governance, specialization and professionalization, quality control and verification, cooperation and conflict, the roles of support staff and technicians, and diversity and inclusion. And, as these communities are made possible through software systems, he studied how the design of software tools and systems intersect with all of these issues. He received an undergraduate degree at UT Austin, and an MA in Communication, Culture, and Technology at Georgetown University, where he began empirically studying communities using qualitative and ethnographic methods. As part of receiving his PhD from the UC Berkeley School of Information, he worked with anthropologists, sociologists, psychologists, historians, organizational and management scholars, designers, and computer scientists.