Events

Taylor Arnold uses large-scale computational methods to analyze how television production practices and narrative strategies intersect with industry changes and cultural contexts.

Lauren Tilton’s research applies digital and computational methods to the study of 20th and 21st century documentary expression and visual culture.

While multimodal large language models (LLMs) excel at dialogue, whether they can adequately parse the structure of conversation — conversational roles and threading — remains underexplored.

Peter Leonard itemizes three barriers that hinder analysis of film and television.

Peter Broadwell explores new opportunities for using deep neural models for computational analyses of theater and other performing arts.

James Abello Monedero & Haoyang Zhang present Graph Cities, a novel visualization for exploring complex large-scale networks.

Support the I School during Berkeley’s annual fundraising blitz.

Open data infrastructures promise transparency, collaboration, and democratized access to scientific knowledge. But what happens when these same principles enable challenges to scientific consensus? 

Xiang Zheng analyzes large-scale faculty datasets to reveal connections between tenure, incentives, and innovation.

An in-person, collaborative deep dive with Cultural Analytics speaker Bob L. T. Sturm.

Bob L. T. Sturm is an associate professor at the KTH Royal Institute of Technology, Sweden, and the PI of the MUSAiC project.

Emma Lurie untangles the roots of online harms in platform design, regulatory structures, and expert discourse.

Zackary Okun Dunivin’s work examines cultural phenomena at scale, including political discourse, mythmaking, information systems, and organizational communication.

Online misinformation is a growing concern. Dr. Madeline Jalbert identifies the underlying psychological processes, the role that feelings play, and the criteria people use to assess truth. 

Jerry Chai describes governmental censorship programs and their risks and outlines real-world circumvention and resistance strategies.

Many of today’s most pervasive digital security and privacy threats come not from distant hackers, but from the individuals around us.

Sayash Kapoor is coauthor of AI Snake Oil and author of the newsletter AI as Normal Technology. He explains the stakes of misplaced optimism about AI in science, medicine, and more.

An in-person, collaborative deep dive with Bellwether Lecturer Michaela Mahlberg.