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The Web is the largest human information construct and information channel in history and, thus, of utmost relevance to any organization. In order to understand what the Web is, engineer its future and ensure its social benefit we need a new interdisciplinary field that we call Web Science.

The term Web Science was coined by Berners-Lee and colleagues (2006) in a short Science article. Since then many researchers adopted the paradigm, organized specialized Web Science conferences and developed the paradigm further (e.g. Hendler et al. 2008).

Web Science is a new, interdisciplinary scientific paradigm (or even discipline) that seeks to understand the Web in its whole with a focus on technical and social challenges. To model and predict and thus to understand the development of the Web, one requires a mix of expertise from a wide set of disciplines ranging from sociology up to computer science.

“People think that you need to be a computer scientist to study the Web, but that is not the case,” according to Professor Dame Wendy Hall, Director of the Web Science Doctoral Training Centre at the University of Southampton. “We need economists, sociologists, political scientists and linguists to fully understand the impact the Web is having on our lives.”

In 2010, there are some conferences in the field of web science. The first one is Web Science conference (WebSci10), which will be held on Raleigh, North Carolina, 26 & 27 April 2010 and Tim Berners-Lee is one of the invited speakers on this event.

The second event is keynote talk of Professor Stephan staab with the title “Web Science: Your Business, too!” that will be held at Business Information Systems,( BIS-2010 ), Berlin, Germany, May 4, 2010.

And the last one is the minitrack at 16th Americas Conference on Information Systems (AMCIS 2010), with the title “Web Science – A New Paradigm in IS-Research”. All particular submissions are welcomed in the following areas:  (1) examining social aspects of the Web, (2) using Web data for forecasting or other purposes, and (3) proposing architectural principles of a Web infrastructure for social software.

You may find some more information about Web Science by visiting the following link: