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Social Data Science

From AI to social data and GIS, we have expertise that can help your organisation develop solutions for understanding fast and complex social challenges.

There is no doubt AI and the era of ‘Big Data’ are changing the workplace and society. Our experts are leaders in the field of social data science and its use to explain and understand how complex information intersects with society and social understanding. We have years of experience researching and teaching in areas such as AI, GIS, and various analytical techniques. 


Case studies

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Data After Dark

The UCL Social Data Institute is partnering with the Greater London Authority to deliver a better data and evidence base for night workers in London.

Mapping the People of Scotland

Mapping the People of Scotland

We're living in the age of 'Big Data.' The information bank gathered by everything from social media services to mobile phones is so large that the usual processing applications can't cope. Digital mapping is playing an important role in this process, as a recent project undertaken by a research team at UCL demonstrated.

Walkable London tube map. Photo: Spatial.l

UCL Consultants help Nike promote new Nike+ FuelBand

UCL Geography researchers worked with Nike to produce a 'walkable London tube map' as part of Nike's promotion for their FuelBand personal movement tracker.

 


Work with one of our experts 

We are keen to hear from you and to work together to use social science to help you solve your unique requirements. Find a relevant expert and send us an email to get started.

UCL Social Data Institute

UCL Social Data Institute

Led by the Faculty of Social and Historical Sciences (SHS), the new Social Data Institute amplifies UCL’s advanced research and teaching in social data and methods.

James Cheshire

James Cheshire

Professor of Geographic Information and Cartography, UCL Geography

Emailjames.cheshire@ucl.ac.uk

Specific expertise: quantitative geography, mappable Big Data

Teaching: Data Analysis; Cartography of Visualization

Muki Haklay

Muki Haklay

Professor of Geographical Information Science, UCL Geography

Email: m.haklay@ucl.ac.uk

Specific expertise: participatory mapping and GIS, Citizen Science, Human-Computer Interactions (HCI) and usability aspects of GIS, and public access to environmental information.

Teaching: Introduction to citizen science and scientific crowdsourcing

Paul Longley

Paul Longley

Professor of Geographic Information Science, UCL Geography

Emailp.longley@ucl.ac.uk

Specific expertise: The development of neighbourhood geodemographic classifications, extending to historical classifications and characterisation of workplaces and wider population activity patterns; Modelling geodemographic and urban land use change using microsimulation and associated methods; Family name geographies and onomastics (the study of the history and origin of proper names, especially personal names); Retail geography and consumer behaviour; and the delivery of public services, specifically education, health and policing.

Teaching: Thinking Geographically

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Artemis Skarlatidou

Lecturer in Citizen Science, UCL Geography

Emaila.skarlatidou@ucl.ac.uk

Specific expertise: Socio-technical and design perspectives in the implementation of geographic interfaces and technologies; The trust-building potential of bottom-up participatory approaches in science and environmental sustainability; usability and trust design

Teaching: Geography in the field, Digital Geographies; Technology for Nature; Foundations of Citizen Science; Designing and Managing Citizen Science; Introduction to Citizen Science and Scientific Crowdsourcing; Data Politics and Society