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...
Siow, Eugene, Tiropanis, Thanassis and Hall, Wendy (2016) Interoperable & efficient: linked data for the internet of things. In, INSCI 2016, 3rd International conference on Internet Science, Florence, IT, 12 - 14 Sep 2016. 15pp.
White, Steven and White, Su (2016) The socio-technical construction of MOOCs and their relationship to educator and learning designer roles and practices in HE. In, EC-TEL 2016, Lyon, France, Republic of, FR, 13 - 16 Sep 2016. 8pp.
Almuhanna, Nora, Hall, Wendy and Millard, David (2016) Modeling Twitter acceptance and use under the risk of antisocial behavior. In, WebSci '16 the 8th ACM Conference on Web Science , Hannover, DE, 22 - 25 May 2016. New York, US, ACM, 312-314. (doi:10.1145/2908131.2908182 ).