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Foundations of Data Science

Foundations of Data Science Theme Lead: Dr Danny Williamson

The Foundations of data science lie in methodology for the analysis, interpretation and organisation of complex data. Our academic expertise covers data analytics, machine learning and artificial intelligence, statistical science, optimisation, uncertainty quantification, data driven computer vision, dynamic modelling and simulation, complex systems and network analysis.

Technical work in machine learning and Artificial Intelligence (AI) is complemented by work on the philosophy of AI and the extent to which conceptual and ethical assumptions are built into algorithms.

To get involved and find out more about the work of this research theme you can join the Foundations of Data Science mailing list. Please contact Jill Williams to be added to this list.