The Artificial Intelligence/Machine Learning Research Theme focuses on creating a virtual cycle within KDL’s Software Development Lifecycle (SDLC) around ML and AI that goes beyond single projects solutions across the triangle of critical, analytical and practical RSE-driven research. Its primary objectives include leveraging past experiences and emerging best practices to guide project scoping, planning, and execution, formalising and sharing AI/ML knowledge and guidance internally and globally, innovating new computational methods and software tools for AI/ML research.
Projects
-
Critical Modelling of Extensive Literary DataCritical Modelling
The Australia National University ANU , King's Digital Lab KDL
2020–2023
-
iREAL: Inclusive Requirements Elicitation for AI in Libraries to support respectful management of Indigenous knowledgesiREAL
University of Glasgow, Digital Preservation Coalition, University of Technology Sydney
2024–2024
-
Living with MachinesLwM
Queen Mary, University of London, FAH Department of Digital Humanities, Faculty of Arts and Humanities, The British Library, The Alan Turing Institute
2023–2023
-
Narrative Atoms and Open Scholarship ExperiencesNanotoms
FAH Department of Digital Humanities, Faculty of Arts and Humanities
2018–
-
Radical Translations: The Transfer of Revolutionary Culture between Britain, France and Italy (1789-1815)Radical Translations
FAH Department of Languages, Literatures and Cultures, Faculty of Arts and Humanities, University of Milano-Bicocca
2019–2023
-
REF 2021 impact data analysis
KCL Research Management & Innovation Directorate RMID , King's Digital Lab KDL
2022–2022