Data science

The Data Science Research Group is at the forefront of harnessing the power of data to drive innovation and solve complex problems. We specialize in developing advanced analytical techniques, machine learning models, and data-driven solutions that can be applied across various industries, from healthcare and finance to environmental science and social media. Our interdisciplinary approach brings together experts in statistics, computer science, and domain-specific knowledge to uncover insights and make data more actionable.

Bach, B, Keck, M, Rajabiyazdi, F, Losev, T, Meirelles, I, Dykes, J, Laramee, RS, AlKadi, M, Stoiber, C, Huron, S, Perin, C, Morais, L, Aigner, W, Kosminsky, D, Boucher, M, Knudsen, S, Manataki, A, Aerts, J, Hinrichs, U, Roberts, JC & Carpendale, S 2024, 'Challenges and opportunities in data visualization education: A call to action', IEEE Transactions on Visualization and Computer Graphics, vol. 30, no. 1, pp. 649-660. https://doi.org/10.1109/TVCG.2023.3327378

Rohani, N, Gallagher, M, Gal, K & Manataki, A 2024, 'Education challenges among early career researchers in medical informatics', Studies in Health Technology and Informatics, vol. 316, pp. 1510-1514. https://doi.org/10.3233/SHTI240701

Palmer, J, Manataki, A, Moss, L, Neilson, A & Lo, T-YM 2024, 'Feasibility of forecasting future critical care bed availability using bed management data', BMJ Health & Care Informatics, vol. 31, no. 1, e101096. https://doi.org/10.1136/bmjhci-2024-101096

Data science

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