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Hypothesis For A Web Science Degree Course


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  • 1. Hypothesis for a Web Science Degree Course Ing. Federico Bo Image by October 2008 nabskater/DeviantArt
  • 2. Based on an idea of Sir Berners-Lee (and other professors of the MIT and the University of Southampton) here's to you ... 2
  • 3. Web Science to be more precise… 3
  • 4. “The Web Science is the science that studies the behaviour and properties of W complex systems formed by persons, e services and software agents who operate b on the infrastructure of global S communication” c i e n c e Ernesto Damiani, Dept. of Computer Technology, University of Milan, Italy 4
  • 5. “There will be Sciences of the Web, those involved in Web space technology, but also Science, disciplines studying a political, social and economic context which is closely related to everyday life. The discipline of Web Science in this sense, with its proactive intention, shall assume a great responsibility to direct and guide the future of the Net, and thus the key issues of the twenty-first century.” Gaia Bottà, Punto Informatico 5
  • 6. Key Concepts • Networked structure • Relations W e • Data, Information, Knowledge, Experience b • Social perspective S c • Machines/Humans integration i • Small / Large scale e n • Emerging Behaviours c e 6
  • 7. Web: W e b to be studied, modeled, S c understood, designed, developed, governed. i e n c To be analyzed and synthesized e 7
  • 8. W e b S Password: c i e n c e 8
  • 9. multidisciplinarity 9
  • 10. 10
  • 11. And now let me introduce you to the…. 11
  • 12. Web Science Degree Course e 12
  • 13. A graduate in Web Science should have the ability to: • move between different sizes and different levels of the network, analyzing and modeling, predicting and W interpreting, the identifying dynamics and emerging S behaviors in connections between humans and technology D C and… 13
  • 14. • define and develop theories, models, methodologies, metrics that help to formulate systematically the principles of the “Web discipline” • create more effective systems for the processing of data and information, go from the Era of Computation to the Era of Problem Solving* W S • design and develop tools and applications improvingly D tailored to the particular nature of the Web C * Michael L. Brodie, Chief Scientist of Verizon Communication again… 14
  • 15. • discover the emerging trends of the Net, opportunities created by ubiquity, mobility, new media and the increasing amount of available on-line data • study and understand the new social interactions and new W political and economic models that occur with the mediation S of the Web D • identify and preserve the essential invariants of the Web C 15
  • 16. Sectors W S D C 16
  • 17. Data Web • Data storage, management, retrieval and distribution • Semantic web W Web Analysis S and Engineering D C Analytic Web Web Architecture • Topology, metrics, • Protocols, statistics, web applications, analytics interfaces, standards 17
  • 18. Social Web • Social software, Social Networking, Social Media • Virtual Universes W Web Society S and Economy D C Economic Web Web InfoCom • Economics of Social • Convergence culture, Production, Networked new media, grassroots Information Economy creativity • Enterprise 2.0 • New models of • Web Marketing information 18
  • 19. W S D C by Wordle 19
  • 20. W S Data Web D C Social Web Analytic Web Web Architecture Economic Web InfoCom Web by yEd 20
  • 21. First year Fundamentals of Physics C Mathematical Analysis Theory of Society d Fundamentals of Computer Science L History of the Internet and the Web Foundations of Economics S English I d Languages of the Web I Web Content Lab W Fundamentals of Psychology 21
  • 22. Web is… a net so… 22
  • 23. Network Theory (Graphs Theory) Computer Networks W S D C 23
  • 24. Web is… a social system so… 24
  • 25. Theory of Society Cultural Anthropology of the Web Sociology of Groups Sociology of Media Culture Theory and Design of Social Network W Theory and Design of Virtual universes S Sociology of Communication Social Computing D Systems ranking and evaluation of reputation C on the Web Security and Privacy on the Web 25
  • 26. Web is… a information system so… 26
  • 27. Fundamentals of Logic Natural Language Processing Information architecture Information Retrieval Semantic Web W Infographics S Cryptography D C 27
  • 28. Web is… a database so… 28
  • 29. Databases Statistics Web Analytics Data Mining / Warehousing W S D C 29
  • 30. Web is… frequented by humans so… 30
  • 31. Fundamentals of Psychology Social Psychology Elements of Cognitive Sciences Elements of Interaction Design Psychology of New Media W S D C 31
  • 32. Web is… a distributed computer system so… 32
  • 33. History of the Internet and the Web Fundamentals of Computer Science Web Languages C Software Engineering d Web Services Petri Networks L Process Algebra Web 2.0 Appl. Lab: Open APIs, Mashups, S Widgets Mobility and Pervasive Computing d Social Computing W Distributed systems on the Web: p2p, grid / cloud computing 33
  • 34. Web is… an evolving complex system so… 34
  • 35. Chaos Theory Complex Systems Elements of Evolutionary Biology Analysis of Ecosystems W Neural Networks and Genetic Algorithms S Artificial Intelligence D C 35
  • 36. Web is… an economic system so… 36
  • 37. Foundations of Economics Institutional Ecology of the Digital Environment C Web Marketing d Economics of Social Production Political Economy of Property and Commons L Economics and Management of Digital Industry S Game Theory Visual Communication and Video Publishing d W 37
  • 38. Web is… a medium so… 38
  • 39. Web Content Lab. History of Media Sociology of Media Culture Languages of Journalism Theory and Methods of Media W History of the Computer-mediated S Communication Sociology of Communication D C 39
  • 40. It is not easy to create a new graduate school or a new degree course: see the example of US Computer Sciences during the '50s. The Computer Science for years has been quot;distributedquot; in the departments of Physics, Mathematics, Engineering. 40
  • 41. Often this operation has reached great success due to a convergence of academic, industrial and social interests An example is the Chemistry in Germany in the second half of the nineteenth century. A choice that has enabled a leadership in this field for over seventy years. 41
  • 42. Creating an academic community dedicate to the study and understanding of this historical quot;unicumquot; named Web does not only mean to form a knowledge base but to obtain an authentic competitive advantage. 42
  • 43. Interdisciplinary collaboration, the active contribution of students, the adoption of open/p2p philosophies, and the use of a 2.0 educational (and next versions...): all this will help the Web study to become a bridge towards a future of “pluralities” rather than a “singularity”. 43
  • 44. One of the most fascinating aspects of the birth of a new science is the new language that arises, and that allows us to converse amiably of topics and ideas that first struggled to deliver. Albert-László Barabási 44
  • 45. Thanks (also to Prof. Damiani, Holger Lenz and the visitors of my blog for comments, suggestions, criticisms) Image by Genetrix205/DeviantArt