Lucy Killoran
l.killoran.1@research.gla.ac.uk
Research title: Automation in the practice of archaeological survey
Research Summary
- Critically examining current practices, systems and workflows in large-scale archaeological survey and prospection, including recent results in automation
- Researching the current state-of-the-art in machine learning and computer vision techniques for spatial data
- Using design methods to ideate, prototype, test and evaluate new workflows for archaeological survey which integrate machine learning and computer vision
Supervisors
- Dr Gareth Beale
- Mr Lukasz Banaszek
- Dr John Williamson
- Mr David Cowley
Grants
- Collaborative Doctoral Studentship Award, AHRC (2020)
- Data Skills Workforce Development Programme, Bayes Centre, University of Edinburgh (2020)
- Graduate Traineeship Award, Erasmus+ (2019)
- Fieldwork funding support, The Catherine Mackichan Trust (2018)
- Student Opportunity Fund, University of Edinburgh (2018)
Conference
(† = Participant, ⍉ = Organiser)
- † Killoran, L., Geddes, G. (2021) Ghosts in the machine: Reflections on traditions of survey practice at the eve of automation [Session 24], Computer Applications & Quantitative Methods in Archaeology International Conference, 14–18 June, Online
- ⍉ University of Glasgow College of Arts Postgraduate Conference Committee, (2021) Metamorphosis: Transformations across Time, Culture & Identity, 1–2 June, Online. (Committee Chair, Design & Operations Officer)
- † Killoran, L., (2021) Innovating archaeological survey: Integrating AI, Computer Vision, People, and Practice, CIfA Innovation Festival, 25–29 January, Online.
Teaching
- Data Analysis, Visualisation and Communication (Honours) (2021)
- Digital Media & Information Studies 1B (2021)
