Started in 2011, Theorizing the Web is an annual event for critical, conceptual conversations about technology and society. Theorizing the Web begins with the assumption that to talk about technology is also to discuss the self and the social world. Debate around digital social technologies too often fails to apply the many relevant literatures of social thought.
Theorizing the Web is a home for thinking about technology by people who may not think of themselves primarily as “tech” thinkers. Activists, journalists, technologists, writers, artists, and people who don’t identify as any of the above are all encouraged to attend. The event especially invites those that engage with issues of social justice, power, inequality, and vulnerability from a diverse range of perspectives.
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.