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