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
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
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
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
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
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
35. Chaos Theory
Complex Systems
Elements of Evolutionary Biology
Analysis of Ecosystems
W
Neural Networks and Genetic Algorithms
S Artificial Intelligence
D
C
35
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
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)
http://motobrowniano.wordpress.com/
Image by Genetrix205/DeviantArt
