These are experimental, work-in-progress, mainly proof-of-concept investigations using digital tools and computational technologies and aiming to bring together multiple archive, museum, personal, and heritage UK collections with industrial history focus.
These have been developed as part of the AHRC - TaNC-funded Congruence Engine project, which focused, among other things, on exploring what a UK collection of industrial heritage materials might look like.
Experimenting with Optical Character Recognition
Universal Named Entity Recognition (NER) with GLiNER
Zooniverse & Industrial Photographs
Connecting environmental data: Bradford, textiles, and river pollution
Linking Textile Machine terms via Wikidata
Museums’ online catalogue-as-data
Uncovering Positionality in data-driven/AI cultural heritage pipelines
Industrial occupations ontology
Data Vis Explorer - Time-based Media (Visualizing Oral History Phase 3)
Datafication and Cultural Heritage collections data infrastructures
The Congruence Engine Data Register
Mapping Power Stations
Connecting Industrial Folk Songs with museum collections
Towards a modelling of the Bradford Thrum v1
Trade Directories Data Extraction
The Microgeographies of Worstedopolis
Aesthetics of AI Reconstruction. Dalton Mill in Virtual Reality
Saltaire Phase 1 - Migration and Habitation
Saltaire Phase 2 - Household Genealogies and Education
Hidden Histories of Greg Family (and Quarry Bank Mill)
Neural Radiance Field Imaging (Assessment)