Big Data Studies LabThe Humanities at Infrastructural Scale

Project

Accidental Archives

Accidental Archives examines large digital collections that became available for historical research by routes their creators rarely intended, from rescued web archives and data dumps to materials disclosed by leaks, hacks, and legal proceedings.

These collections are neither conventional archives nor neutral samples of a lost whole. Each carries a particular history of selection, extraction, survival, custody, and access that determines what can be observed and what remains absent. The project studies those histories as part of the evidence itself, while developing ways to investigate collections whose scale and heterogeneity exceed individual inspection.

Publications and Outputs

  • 2023

    Big Data Studies: The Humanities in Uncharted Waters

    Cha, Javier · Korean Studies 47: 274–299

  • 2020

    Pik teit'ŏ wa inmunhak ŭi mirae [Big data and the future of humanities]

    Cha, Javier · Munmyŏng kwa kyŏnggye 3: 43–77

People

  • 2019–

    Javier Cha

    Assistant Professor, Department of History, University of Hong Kong

  • 2019–21, 2023–24

    Yennie Jun

    Research Engineer, Google DeepMind

  • 2021–23

    Christina Han

    Associate Professor of History, Wilfrid Laurier University

  • 2021

    Nabanita Dash

    Machine learning engineer, Hyderabad