Web and Internet Science Research Group
Welcome to the website of the Web and Internet Science (WAIS) group, an interdisciplinary team of people who have dedicated their efforts to better understand the origin, evolution and growth of the World Wide Web and the Internet. WAIS is one of the seven members of the Electronics and Computer Science (ECS) Academic Unit in the Faculty of Physical Sciences and Engineering.
SOCIAM - Social Machines - will research into pioneering methods of supporting purposeful human interaction on the World Wide Web, of the kind exemplified by phenomena such as Wikipedia and Galaxy Zoo. These collaborations are empowering, as communities identify and solve their own problems, harnessing their commitment, local knowledge and embedded skills, without having to rely on remote experts...
Tang, Yuqing, Lebiere, Christian, Sycara, Katia, Morrison, Don, Lewis, Michael and Smart, Paul (2016) Information Sharing for Collective Sensemaking. In, Hawaii International Conference on System Sciences, Kauai, Hawaii, USA, 05 - 08 Jan 2016. 9pp.
Sunar, Ayse Saliha, Abdullah, Nor Aniza, White, Susan and Davis, Hugh C. (2015) Analysing and predicting recurrent interactions among learners during online discussions in a MOOC. In, 11th International Conference on Knowledge Management ICKM 2015, Osaka, JP, 04 - 06 Nov 2015.
Sunar, Ayse Saliha, Abdullah, Nor Aniza, White, Su and Davis, Hugh C (2015) Analysis of social learning networks on Twitter for supporting MOOCs education. At ACM-W Europe womENcourage Celebration of Women in Computing, Uppsala, SE, 24 - 26 Sep 2015.