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...
Draffan, E.A., Kadous, Amatulla, Amal, Idris, Zahid, Aejaz, Zeinoun, Nadine, Wald, Mike and Halabi, Nawar (2015) Synergistic teamwork using social media for innovative development of an Arabic symbol dictionary. In, Innovation Arabia 8: Final Conference Proceedings, Dubai, AE, 16 - 18 Feb 2015. Innovation Arabia , 371-385.
Draffan, E.A., Kadous, Amatullah, Amal, Idris, Zeinoin, Nadine, Wald, Mike and Halabi, Nawar (2014) Arabic/English symbol dictionary: early challenges and technological opportunities. Communication Matters, 28, (3), 26-28.
Smart, Paul R (2016) Emerging Digital Technologies: Implications for Extended Conceptions of Cognition and Knowledge. In, Carter, Adam J, Clark, Andy, Kallestrup, Jesper, Palermos, Orestis Spyridon and Pritchard, Duncan (eds.) Extended Epistemology. Oxford, UK, Oxford University Press. (Submitted).