big data; labour demand; online job adverts; skills; word embeddings; machine learning

Garasto, Stef, Djumalieva, Jyldyz, Kanders, Karlis, Wilcock, Rachel and Sleeman, Cath (2021) Developing experimental estimates of regional skill demand. Discussion Paper. National Institute of Economic and Social Research, London.

data ethics, data ethics teaching, critical pedagogy

Garasto, Stef and Szabó, Máté (2025) Teaching AI and data ethics in an ‘Ethics and Governance’ Master’s course. Teaching Ethics. ISSN 1544-4031 (Print), 2154-0551 (Online)

generative models; dynamical systems; disentanglement; VAE; forecasting; system dynamics

Fotiadis, Stathi, Lino, Mario, Shunlong, Hu, Garasto, Stef, Cantwell, Chris D and Bharath, Anil A (2023) Disentangled generative models for robust prediction of system dynamics. In: Proceedings of the 40th International Conference on Machine Learning. ICML 2023, 202 . Proceedings of Machine Learning Research (PMLR), Honolulu, Hawaii, USA, pp. 10222-10248. ISSN 2640-3498

responsible AI, evaluation, resources, framework, multidisciplinary review

Klyshbekova, Maira, Cruz, Gisela Reyes, Bentley, Caitlin, Garasto, Stef, Brown, Amy Aisha, Aicardi, Christine, Ball, Brian, Naiseh, Mohammad and Andrei, Oana (2026) A UK perspective on responsible education for responsible AI: a multidisciplinary review and evaluation framework. Journal of Responsible Technology, 25:100147. ISSN 2666-6596 (Online) (doi:10.1016/j.jrt.2025.100147)