View source for INS Special Issue on Collective Intelligence

{{Publication
 |  Title=Special Issue on Collective Intelligence
 |  Type = Special issue
 |  Field = Information science
 |  Series=INS
 |  Homepage=http://ees.elsevier.com/ins/
 |  Submission deadline=Oct 1 2008
 |  Notification=January 15 2009
 |  Camera ready=March 15 2009 
}}

==Guest Editors==

* Dr. [[has guest editor::Epaminondas Kapetanios]], University of Westminster, London, UK
* Dr. [[has guest editor::Georgia Koutrika]], Stanford University, USA


==Important Dates==

* Submission of Abstracts to Guest Editors (optional): August 15, 2008
* Initial Submission: October 1, 2008
* First Round Reviews: January 15, 2009
* Resubmission by: March 15, 2009
* Final Acceptance: May 15, 2009
* Publication: Second half 2009

with pre-publication via www.sciencedirect.com


== Background ==

Since the first formal specifications of modern computing machinery as
laid out by Alan Turing and his contemporary fellows, we have been  witnessing,
during the last three decades, an evolutionary path in computing  towards more
personalized and contextualized data and knowledge artefacts.

The optimal usage of distributed computing, data and knowledge  resources has
always been the means in order to tackle hard problems in fields, such  as science, engineering
and medicine. The SETI (Search for Extra-Terrestrial Intelligence,  Berkeley, USA)
project is one prominent example in this category followed by the  Human Genome project.
It is no surprise that projects like e-Science, as recently launched  by the UK government,
and the GRID computing are meant to create a computing paradigm, where  "the computer is the
network". In all these approaches, however, the problem seems to be  well defined and
no synergies across participants from different cultural and  professional backgrounds
are requested in order to create a solution.

In the early 21st century with the rise of the Social and Semantic  Web, however,
the answer of "what is a network" has been relaxed by the inclusion of  users and
user communities, which form social networks via computerized means.  Ecosystems
of humans and machines have been created where the involvement of
human beings as creators and consumers of data and knowledge as well as
in problem solving and learning tasks has been of paramount importance.
Clusters of computers have been enhanced by clusters of humans.
Formation of social groups follows the same principles of
social behaviour, common interests, e.g., studies, hobbies, games.  Wikipedia has
been a success story of a collaborative environment for knowledge  creation and
sharing. Facebook, MySpace, del.icio.us, Flickr have been further  success stories
of social networking with digital media.

This special issue explores the notion of this human-machine model of  Collective
Intelligence (CI) and its potential to become a new computing paradigm  for creating
solutions or strategies to tackle difficult problems, where the  synergistic interactions
of a group of people with diverse cultural and professional  backgrounds are requested.
This issue aims at studying the move from (system-) collected  knowledge and intelligence,
to collective knowledge and intelligence and exploring the challenge of
boosting the collective IQ of organizations and society where both  human and machine
contribute actively to the resulting intelligence with each doing best  what they do best.


==Software Engineering contributions sought==

This is by no means an exhaustive list of challenges and research  questions to be addressed
by the submitted papers for all elements of the best research practice  as based on
the triple theory, methodology, model - languages - system  implementation.

In particular, contributions in terms of one or more of the following  Software
Engineering aspects are welcome:

* Software engineering principles and methodologies addressing the  construction of
systems supporting Collective Intelligence in terms of group formation,
multiple interpretative perspectives, negotiation of group knowledge,  etc.

* Principles and methodologies for collaborative software design and  development

* Technological and social reconfigurations that are needed to achieve
computer supported collaborative software engineering

* Design patterns and offer of software, which analyzes and relies on  empirical
instances of collaboration

* Quality assurance in collective software creation and consumption

* Software metrics for collaborative systems


==Submission Guidelines==

Optional abstracts to gauge the appropriateness of a research idea for  further
development for the special issue are welcome, and should be submitted  to the
Guest Editors via E.Kapetanios@westminster.ac.uk and koutrika@stanford.edu .

Manuscripts should be submitted online at http://ees.elsevier.com/ins/  by
the date of initial submission, double spaced in 11 or 12-point fonts,  with
no more than 45 pages, inclusive of all references, figures and tables.
Submitted manuscripts will be reviewed according to the peer review  policy
of the Information Sciences Journal as available on-line at www.elsevier.com/locate/ins .

A tutorial and guide for authors is also available online at http://ees.elsevier.com/ins/
Please make sure that you register yourself prior to submitting your  paper.

As papers are uploaded, authors should make sure to select the correct  special
issue (select "Special Issue: Collective Intelligence" when reaching  the Article
Type step). Only original and unpublished papers will be considered.

The special issue will finally comprise 9 single line spacing papers  of 25 pages each.

[[Category:Software engineering]]
Camera ready due	March 15, 2009 +
Has guest editor	Epaminondas Kapetanios + and Georgia Koutrika +
Homepage	http://http://ees.elsevier.com/ins/ +
Notification	January 15, 2009 +
Publication in series	INS +
Submission deadline	October 1, 2008 +
Title	Special Issue on Collective Intelligence +