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KMi Seminars
The Web in Science and Research
This event took place on Tuesday 24 July 2012 at 11:30

 
Peter Kraker Know-Center, Graz University of Technology


 In this presentation, Peter will talk about the involvement of the web in the scientific process. He will attempt to contextualize this area within the field of web science and present four core research topics. These core topics are: (1) the development of an online infrastructure for researchers; (2) the appropriation of web tools for researchers; (3) the change in scientific practices and the open science movement; and (4) the analysis of data generated by researchers on the (social) web. He then will show results for each topic from two EU projects: STELLAR, a network of excellence in Technology Enhanced Learning; and TEAM, a Marie Curie project concerned with academic knowledge management. Peter will conclude with an outlook on the transformational potential of the web in science and research.



 
KMi Seminars Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Social Software is...


Social Software
Social Software can be thought of as "software which extends, or derives added value from, human social behaviour - message boards, musical taste-sharing, photo-sharing, instant messaging, mailing lists, social networking."

Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.