- NUST School of Electrical Engineering and Computer
Transcription
- NUST School of Electrical Engineering and Computer
Web Science and Its Impact on the Future Web Bebo White SLAC National Accelerator Laboratory/Stanford University NUST, March 2015 Caveats I am not going to list individual rich or active areas of Web research Such lists are always subjective and incomplete I hope to provide an encompassing overview of Web research and suggest a paradigm and methodology for accomplishing it Happy Birthday WWW! The largest and most successful information artifact in human history Reflections on its multidisciplinary impact and impact But little said about its future and how to support research Assertion #1 – Goals of Web Research To understand the Web “through the eyes of those who affect it and are affected by it” To examine the Web as a new instrument for human (and perhaps non-human) interaction To learn how to “engineer” the Web “for maximum benefit” Assertion #2 The direction of Web research may not always “track” with conference/journal/article submissions, product announcements, hardware/software advancements Web Evolution Click to edit Master text styles Second level Third level Fourth level Fifth level Assertion #3 There is confusion between Web evolution and Web discovery New “Web versions” are simply new elements of the Web “revealing themselves” Web Engineering “Web Engineering actively promotes systematic, disciplined and quantifiable approaches towards successful development of high-quality, ubiquitously usable Webbased systems and applications.” (Wikipedia). A goal of Web Engineering is to distinguish Web-based development from the traditional methods found in Software Engineering. But, where is the Science? Web Science Web Science asserts that the Web can be viewed as a new (and unique) technical and social phenomenon that cannot be generally described in the context of another natural, social, or man-made (i.e., technological) science The Web can (and should) ) be studied as a single/ growing entity (“in situ”) rather than strictly in terms of its underlying parts (e.g., computer protocols) Web Science was introduced to ICWI in 2008 Consider Web Topology How to explain this distribution It is not random It is greater than its parts Assertion #4 A major aspect of Web research is not about technology “Living organisms, when allowed to make freely willed decisions, seem to end up obeying some kind of mathematical law.” (Gandhi Viswanathan, theoretical physicist, Federal University of Alagoas, Brazil). The understanding of a science is a goal of research; the application of a science drives innovation Web Evolution Click to edit Master text styles Second level Third level Fourth level Fifth level Assertion #5 Web Science provides a multi-disciplinary paradigm for discovering the future of the Web Studies in Web Science are critical Web research challenges for the next decade How can this be implemented? How will researchers from multiple disciplines collaborate effectively? How can Web Science discoveries be applied to Web Engineering? Social Machines The significance of the Turing machine for classical computation stemmed from its establishing a common model through which the limits and properties of computation could be effectively interrogated New kinds of "machines" governed not purely by computational processes, but by collective social processes resulting from the amalgam of individual action and coordination, mediated and enabled by the shared communication substrate of the Web (Shadbolt et.al.) Web Observatory Astronomers obtain a very high resolution picture of the sky from small telescopes a long distance apart. Many Web labs, contributing across the globe, help build an accurate picture of human activity at planetary scale. transcending parochial social, political, economic, legal interpretations Web Observatory Network Partners contribute their insight and experience, and benefit from the network and business intelligence insights Observatory events are hosted bringing together thought leaders to learn from each other Data sets, open or closed, can be brought in to the project Analytics and tool sets can be contributed Joint research and projects can be agreed How often are we present at the beginning of a new science and the opportunity to research it? Thank you! Questions? Comments? [email protected]