Social data science

What challenges do we face with the dramatic increase in quantity of social data now available about all of us?



Research areas


The group seeks to address the challenges associated with the vast quantities of new and heterogeneous data that are increasingly becoming available through two primary themes: developing foundational theories of human behaviour at diverse social and temporal scales; and identifying methodological challenges and solutions to enable social data science to deliver robust and credible results in key application domains.


This interest group in social data science aims to create a critical mass of social scientists, data scientists and social data scientists, and to build relationships with data infrastructure and training investments and policy makers through regular meetings involving academic, commercial, NGO, and government stakeholders.

How to get involved

Click here to request sign-up and join

Detailed description


  • NCRM
  • ESRC CDT – New Forms of Data
  • ADRN
  • Urban Big Data Research Centre
  • Consumer Data Research Centre
  • Business and Local Government Data Research Centre
  • Nuffield Q-Step CDTs
  • UK Data Service
  • ONS
  • British Library
  • Demos
  • NatCen
  • dunnhumby
  • Google
  • Facebook
  • Twitter
  • GO Science
  • DCMS
  • Cabinet Office
  • Food Standards Agency
  • DWP
  • GCHQ
  • Government Digital Service
  • BEIS
  • Nesta



Dr Elena Kochkina

Visiting Research Fellow, The Alan Turing Institute and Postdoctoral Research Assistant, QMUL

Contact info

[email protected]

External Researchers

Robin Williams, University of Edinburgh
Ella McPherson, University of Cambridge
Melinda Mills, University of Oxford
Andy Hudson-Smith, UCL
Noortje Marres, University of Warwick
Celia Lury, University of Warwick