By John Stack and Jamie Unwin The potential and pitfalls of machine learning in the Congruence Engine context By Asa Calow The future: reflections on emerging machine-learning methods for digital heritage By Jane Winters and Anna-Maria Sichani The role of digital humanities in an interdisciplinary research project By William Ashworth History of textiles and the Congruence Engine By Daniel C S Wilson Working at scale: what do computational methods mean for research using cases, models and collections? By Jon Agar History of communications and the Congruence Engine: early thoughts and possibilities By Graeme Gooday, Kylea Little, Bernard Musesengwe and Cameron Tailford (Deceased) Energising connections in museum collections
