Dr Ning Wang

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Senior Research Fellow in Data Science, University of Oxford

Ning Wang (Ph.D) holds a position at the Mathematical Institute, University of Oxford. He worked as Researcher at the Oxford Internet Institute and Senior Research Fellow in Data Science at the Oxford-NIE financial Big Data Lab. His research is driven by a deep interest in analysing a wide range of sociotechnical problems by exploiting big data approaches, with the hope that this work could contribute to the intersection of social behavior and computational systems.

He is also interested in the broad area of financial data analysis, machine learning , social computing, data mining, social networks analysis, Chinese Internet and social media, etc. He has been working on a range of projects including Forexmaster: mobile forex trading platform, Machine Learning in Time Series, “Big Vs” on Chinese microblog, Open Data and Civic Engagement, Big Data: Demonstrating the Value of the UK Web Domain Dataset, Leaders and Followers in Online Activism, Using Twitter to Map and Measure Online Cultural Diffusion, etc. His research has appeared in Elsevier Journal of Social Networks, Data Science, Entropy, etc.

Prior to Oxford, he was a postdoctoral researcher at the Computer Laboratory, University of Cambridge. He worked on the Social-based Forwarding Algorithm. He was involved in research to analyse a large number of real-world data on social networks in an effort to use centrality and community structure to optimise online communications.

He is also guest editor of a forthcoming Policy and Internet journal special issue of Chinese Web Data, program chair of the 14th IEEE Conference on Computer and Information Technology (CIT2014), Co-Chair of the 2014 IEEE Conference on Cyber, Physical and Social Computing (CPSCom2014), and TCP members of 2013 AAAI Conference on Weblogs and Social Media (ICWSM13) and reviewer for IEEE Communications Magazine

Conference Organisers


RAID Conference and Exhibition addresses new innovations and disruptive technologies in areas of Robotics, Artificial Intelligence, Internet-of-Things and Data


  • Cavendish Group
    2nd Floor Front, 116-118 Chancery Lane, London WC2A 1PP, United Kingdom
    Tel: +44 (0)203 675 9530
    Email: raid@cavendishgroup.co.uk