The goal is to examine the shifting boundaries, definitions and applications of data in cities after dark – from qualitative citizen-generated data collection to the recent deployment of algorithms to govern urban spaces. In this process, we will highlight the dangers and opportunities of individuals being visible as data points.
This project fills a gap in the emerging interdisciplinary field of Night Studies by looking at data practices simultaneously as storytelling and evidence-building. Negotiations around what is considered “valid” data shape how the night is archived, governed and represented. We will consider data as both human-centered (spreadsheets, maps, informal archives, journalistic guides, audiovisual documentation, literature and oral history) and machine-centered (artificial intelligence systems, sensors, and surveillance). Project outcomes include scholarly publications, open datasets, and a reports with key takeaways and frameworks.
