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Web and Internet Science Research Group

Web and Internet Science Research Group

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WAIS is a research group in the School of Electronics and Computer Science (ECS) at the University of Southampton. The group researches the Internet, the Web and large scale systems that combine computational, data and human components.

About Us

WAIS group researches large scale systems, exemplified by the Web and Internet, that combine computational, data and human components.

Research

The University of Southampton has a leading role in Web and Internet research.

Education

The group brings together expertise and excellence.

Find out more about our MSc programmes

  • Multi-million pound investment to keep Southampton at the forefront of Computer Science and Artificial Intelligence… https://t.co/z5hkIn6zws

    @SotonWais - 22 January

  • RT : Yesterday was Digital Catapult’s board member 's last meeting. A trailblazer and thought leader, her… https://t.co/sccql6QfbU

    @SotonWais - 23 September

  • RT : We from , , and Interchange Forum for Reflecting Intelligent Systems at are… https://t.co/nB3HwnqFSt

    @SotonWais - 12 September

    • WAIS News

  • 6 March 2020

    The University of Southampton joins DEDALUS...

    The Web and Internet Science Research Group at the University of Southampton has joined DEDALUS, a European project under the Erasmus+ programme.

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  • 5 December 2019

    Southampton Regius Professor named one of the...

    Professor Dame Wendy Hall has been announced on the 10th annual UKtech50 – a list of the most influential people in the UK tech sector.

    Read More
  • 30 January 2019

    University of Southampton launches...

    Academics and health professionals are uniting to solve challenging clinical problems through a new Centre for Health Technologies (CHT) at the University of Southampton.

    Read More
    • Publications archive

    Recent WAIS publications

    Please Stay vs Let’s Play: Social pressure incentives in paid collaborative crowdsourcing - Oluwaseyi Feyisetan and Elena Simperl
    Type: Book Section | 2016 | Springer | Item not available on this server.
    Quick-and-clean extraction of linked data entities from microblogs - Oluwaseyi Feyisetan, Elena Simperl, Ramine Tinati, Markus Luczak-roesch and Nigel Shadbolt
    Type: Conference or Workshop Item | 2014 | Item not available on this server.
    Mechanism design for efficient offline and online allocation of electric vehicles to charging stations - Emmanouil S. Rigas, Enrico H. Gerding, Sebastian Stein, Sarvapali D. Ramchurn and Nick Bassiliades
    Type: Article | 2022