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UCL Home  /  Geography  /  News & Events  /  News  /  News Archive  /  July 2015  /  Big data sets and computational social science

Big data sets and computational social science

Mirco Musolesi joins UCL Geography

Big data sets and computational social science

June saw the arrival in UCL Geography, as Reader in Data Science, of Dr Mirco Musolesi, formerly Reader in Networked Systems and Data Science at the University of Birmingham.

Mirco is a computer scientist with a strong interest in sensing, modelling, understanding and predicting human behaviour in space and time, using the "digital traces" we generate daily, in both our online and offline lives, at different scales.

These problems arise in a variety of contexts, including intelligent systems design, “ubiquitous computing”, healthcare, epidemiology, (cyber)security, issues of privacy, real-time policy making and in developing data analytics for "social good".

At UCL, Mirco will work on the theoretical aspects and applications of large-scale data sets (i.e. “big data”). In computational social science he will seek to combine traditional disciplines to exploit the increasing availability of fine-grained data, at different levels of aggregation, to model and analyse human behaviour, from individual to community or from cities to entire nations.

His more general goal is to design, develop and evaluate algorithms, models and systems that can apply data from an increasing variety of sources, including mobile phone data, Open Data, sensor data and social media.

Mirco will contribute to the teaching related to these research interests, in particular “Geocomputation and Computational Social Science” (for 2nd year students) and “Mining Social and Geographic Datasets” (for 3rd. year students).


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Mirco Musolesi


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