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
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Critical Modelling Reviews Waves Critical Modelling of Extensive Literary DataCritical Modelling
The Australia National University ANU , King's Digital Lab KDL
2020–2023
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A selection of charts taken from the "Language of Mechanisation" analysing the data of certain words that changed meaning during the 19th century. 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
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Nanotoms Narrative Atoms and Open Scholarship ExperiencesNanotoms
FAH Department of Digital Humanities, Faculty of Arts and Humanities
2018–
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1783 to 1807 timelines from France, Ireland, Italy, United Kingdom, and other countries, showing events, source texts & translations. 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
2019–2024
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Research Excellence Framework 2021 Impact Data Analysis REF 2021 impact data analysis
KCL Research Management & Innovation Directorate RMID , King's Digital Lab KDL
2022–2022