About Us
WAIS group researches large scale systems, exemplified by the Web and Internet, that combine computational, data and human components.
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.
Research
The University of Southampton has a leading role in Web and Internet research.
Education
The group brings together expertise and excellence.
RT @hoosfoos: Research group fest day, and Callum and I have been brainstorming ideas for a multi-participant narrative (bottom l… https://t.co/OsryhAj6om
RT @esimperl: New exec course on #ai and customer empowerement in the digital age - great line up of speakers… https://t.co/z1bBG0nV1U
Computer scientists improve open data...
Southampton researchers help ease access to over 800,000 datasets across Europe as part of three-year contract funded by the European Commission
Read MoreSouthampton research and innovation steers new...
ECS Computer scientists will support key developments of global scale decentralised systems as part of a new EU Blockchain Observatory and Forum launched by the European Commission
Read MoreMSc in Artificial Intelligence numbers double...
Our MSc in Artificial Intelligence attracts a surge of interest a decade on from its launch
Read MoreRecent WAIS publications
Using the provenance from astronomical workflows to increase processing efficiency - Michael A.C. Johnson, Luc Moreau, Adriane Chapman, Poshak Gandhi and Carlos Sáenz-Adán
Type: Conference or Workshop Item
| 2018
| Springer Verlag
| Item not available on this server.
Erratum: How and why does category learning cause categorical perception?[Published: Special Issue: Categorization: Causes and Consequences, 30, (2017)] - Fernanda Pérez-Gay, Christian Thériault, Madeline Gregory, Hisham Sabri, Dan Rivas and Stevan Harnad
Type: Letter
| 2018
| Item not available on this server.
Video coursework: opportunity and challenge for HCI education - Anna Vasilchenko, Adriana Wilde, Stephen Snow, Madeline Balaam and Marie Devlin
Type: Conference or Workshop Item
| 2018
| ACM
| Item not available on this server.