Cultural Analytics Series

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

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

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

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

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

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

Svenja Guhr’s research uses computational methods to model suspense in American and British short fiction.

Ongoing work on how satire is communicated in both text and images in the satirical journal Corsaren using image and text embeddings.

Ongoing work on benchmarking vision-language models and using them and object detection for art historical research into canonicity and national romanticism styles in Northern Europe.

Noah Askin is a computational social scientist and sociologist who studies the creative process, its outcomes, and the forces that influence it.

Noah Askin is a computational social scientist and sociologist who studies the creative process, its outcomes, and the forces that influence it.

Peter Forberg is a Ph.D. student in sociology who studies technology, political movements, governance, and ethnography. 

Naitian Zhou is a Ph.D. stu­dent whose re­search cen­ters on de­vel­op­ing com­pu­ta­tional meth­ods to un­der­stand mean­ing em­bed­ded in style.

David Bamman’s research focuses on natural language processing and cultural analytics, applying NLP and AI to empirical questions in the humanities and social sciences. 

Miguel Escobar Varela studies changes in Southeast Asian cultural heritage, combining fieldwork with computational methods.

Miguel Escobar Varela studies changes in Southeast Asian cultural heritage, combining fieldwork with computational methods.

Large language models can make writing mind-numbingly efficient — but the point of writing with AI should be to write what we couldn’t have written alone (without generating bland, derivative “slop”).

An in-person, collaborative deep dive with Cultural Analytics speaker Kyle Booten.