Data Science
Overview of theme
Our Data Science theme researches topics including data wrangling, cleaning, modeling, analytics, approximate query answers, statistical/ machine learning models and algorithms for prediction and inference, data science for science, data science for social good, urban analytics, natural language processing and understanding, data security, privacy, and ethics.
Our key research areas include:
Publications and Projects
Our Publications list provides details of our published papers in books, journals and conferences.
We are involved in many diverse research projects funded by several external bodies such as EPSRC, GCHQ, Alan Turing Institute etc.