The use of machine learning to study patterns of cultural and social change has developed very rapidly in the last decade and the insights from this kind of research are urgently needed in a context where AI tools are rapidly proliferating, raising issues of ethics, trust and epistemology. In this context, this half day colloquium will reflect on the experience of collaborative research between data science and the humanities and the potential it offers for new insights, resources and methodologies. It will hear from researchers on two milestone projects, reflecting on the nature of their collaboration, lessons for future research and reflecting with Irish researchers on the collaborative path forward.
The Ed Ruscha Streets of Los Angeles Archive at the Getty Research Institute in Los Angeles brought together an international team of art historians, media analysts, architects, urban planners, information specialists and software engineers with Getty staff to document, interpret, and debate the Streets of Los Angeles Archive, which was created by the artist Ed Ruscha beginning in 1965 and continuing over the subsequent fifty years.
Living with Machines was a flagship collaborative humanities and science research initiative at the Alan Turing Institute, bringing together historians, data scientists, geographers, computational linguists, library professionals, and curators to examine the human impact of industrial revolution. Developing new tools, methods and resources it exemplifies the capacity to analyse at scale and produce new insights and analysis through such collaboration.
Speakers: Eric Rodenbeck (Stamen), Dr. Emily Pugh (Getty Research Institute), Prof. Mark Shiel (King’s College London), Dr. Katherine McDonough & Dr. Daniel Wilson (The Alan Turing Institute)