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...
Piscopo, Alessandro, Phethean, Christopher and Simperl, Elena (2016) Wikidatians are born: paths to full participation in a collaborative structured knowledge base. In, 50th Hawaii International conference on Systems Science (HICSS-50), Hawaii, US, 04 - 07 Jan 2017. 10pp.
Ojuroye, Olivia, Torah, Russel, Beeby, Steve and Wilde, Adriana (2016) Autonomy is the key: from smart towards intelligent textiles. In, Workshop on Autonomous Everyday Objects: Exploring Actuation in Ubiquitous Devices (within UBICOMP/ISWC 2016), Heidelberg, DE, 12 - 16 Sep 2016. New York, US, ACM4pp, 678-681. (doi:10.1145/2968219.2968558 ).
Murthy, Dhiraj, Powell, Alison B., Tinati, Ramine, Anstead, Nick, Carr, Les, Halford, Susan and Weal, Mark (2016) Bots and political influence: a sociotechnical investigation of social network capital. International Journal of Communication, 10, 4952-4971.