Hi All,

If you haven't already seen these, I thought that they may be of real interest 
to the community:

http://abs.sagepub.com/content/current
-This is a special issue in "American Behavioral Scientist" on "Open 
Collaboration and Wiki Research"

http://crowdresearch.org/blog/?p=6495#comment-20485
-This is the latest post from the "Follow the Crowd" blog, and in general this 
blog is s great resource for emerging "crowd" research. 

Enjoy!

Best,
John




----- Original Message -----
From: [email protected]
To: [email protected]
Sent: Monday, 13 May, 2013 05:00:33
Subject: Wiki-research-l Digest, Vol 93, Issue 11

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Today's Topics:

   1. Re: Is Wikipedia a Relevant Model for E-Learning?
      (Manuel Palomo Duarte)
   2. 2nd Call for Contributions: Collective Behaviors and
      Networks, satellite @ ECCS'13, (Barcelona, September 19, 2013)
      (Giovanni Luca Ciampaglia)


----------------------------------------------------------------------

Message: 1
Date: Sun, 12 May 2013 18:02:58 +0200
From: Manuel Palomo Duarte <[email protected]>
To: Research into Wikimedia content and communities
        <[email protected]>
Subject: Re: [Wiki-research-l] Is Wikipedia a Relevant Model for
        E-Learning?
Message-ID:
        <cagx6hvr-3dr9zx6vdgvyrkbt1_ej4wjzflqtrshpp23eua0...@mail.gmail.com>
Content-Type: text/plain; charset="windows-1252"

Dear Pierre-Carl

I've seen you reference my paper on AssessMediaWiki. Perhaps this other
reference could be of your interest:
http://www.researchgate.net/publication/225107564_Assessment_of_collaborative_learning_experiences_by_graphical_analysis_of_wiki_contributions

It basically introduces a previous quantitative approach that is
fully-operative. AssessMediaWiki tries to complement it.

Best regards,

2013/4/27 Pierre-Carl Langlais <[email protected]>

> Hello,
>
> I have already discussed this work on the mailing list two months ago. You
> may now find the preprint on Wikipapers:
> http://wikipapers.referata.com/wiki/File:Wikipedia_E-Learning_Model_Preprint.pdf
>
> The typo might be somehow hazardous; this is my first scholar publication
> in English and I still need to adapt to some unfamiliar formal norms.
>
> The original data will be disclosed in a shortwhile, probably on Meta-Wiki.
>
> Pierre-Carl Langlais
>
>
> –––––––––––––––––––––
>
> Abstract :
>
> This chapter gives a global appraisal of wiki-based pedagogic projects.
> The growing influence of Wikipedia on students’ research practices have
> actually made these a promising area for educational research.
> A compilation of data published by 30 previous academic case studies
> reveals several recurrent features. Wikis are not so easily adopted: most
> wiki learning programs begin by a slow initial phase, marked by a general
> unwillingness to adapt to an unusual environment. Some sociological
> factors, like age and, less clearly, gender may contribute to increase this
> initial reluctance.
> In spite of their uneasiness, wikis proved precious tools on one major
> aspect: they give a vivid representation of scientific communities.
> Students get acquainted with some valuable epistemic practices and norms,
> such as collaborative work and critical thought. While not improving
> significantly the memorization of information, wikis clearly enhance
> research abilities.
> This literature review can assist teachers in determining whether the use
> of wiki fits their pedagogic aims.
>
>
>
> _______________________________________________
> Wiki-research-l mailing list
> [email protected]
> https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
>
>


-- 
Prof. Manuel Palomo Duarte, PhD
Software Process Improvement and Formal Methods group (SPI&FM).
Degree Coordinator for Computer Science.
Department of Computer Science.
Escuela Superior de Ingenieria.
C/ Chile, 1
11002 - Cadiz (Spain)
University of Cadiz
http://neptuno.uca.es/~mpalomo
Tlf: (+34) 956 015483
Mobile phone: (+34) 649 280080
Mobile phone from University network: 45483
Fax: (+34) 956 015139

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Message: 2
Date: Sun, 12 May 2013 13:09:05 -0400
From: Giovanni Luca Ciampaglia <[email protected]>
To: Research into Wikimedia content and communities
        <[email protected]>
Subject: [Wiki-research-l] 2nd Call for Contributions: Collective
        Behaviors and Networks, satellite @ ECCS'13, (Barcelona, September 19,
        2013)
Message-ID: <[email protected]>
Content-Type: text/plain; charset=UTF-8; format=flowed

The deadline is May 17th!

Giovanni

                    ***** Apologies for multiple copies *****

You are cordially invited to submit a contribution to "Collective Behaviors and
Networks", a one-day satellite event of the 2013 European Conference on Complex
Systems (ECCS'13), to be held in Barcelona, September 19, 2013.

Goal of this workshop is to provide a discussion venue about advances in the
study of networks applied to the dynamics of social collective behaviors.
Particular attention will be devoted, but not limited to, the following topics:

     - Group formation, evolution and group behavior analysis.
     - Modeling, tracking and forecasting dynamic groups in social media.
     - Community detection and dynamic community structure analysis.
     - Social simulation, cultural, opinion, and normative dynamics.
     - Empirical calibration and validation of agent-based social models.
     - Models of social capital, collective action, social movements.
     - Coevolution of network and behavior.

More information on COVEnANT2013 can be found here: http://covenant2013.com
More information on ECCS'13 can be found here: http://eccs13.eu

Requirements

Participants are invited to submit their contributions via the EasyChair system
at the following link: https://www.easychair.org/conferences/?conf=covenant2013

Contributions must be at most 2 pages long, and must provide the following
information: title, list of authors with affiliations, and abstract. Accepted
format is PDF only.

More information, about selection, registration, etc., can be found here:
http://www.covenant2013.com/?page_id=25

Important Dates

     May 17, 2013
     Abstract submission deadline

     June 19, 2013
     Notification of acceptance

     September 19, 2013
     Satellite meeting

Data Challenge

     In order to encourage the development of predictive, data-driven models of
     collective phenomena, a link prediction competition will be held as part of
     the meeting. Monetary prizes will be awarded to the best contributions,
     which will be evaluated according to rigorous scientific criteria by the
     program committee of the event. 1st prize: US$800, 2nd prize: US$200.

     Further information (task, data set, dates) to be released soon.

Keynote Speakers

     Yong-Yeol Ahn, Indiana University, US
     J. Doyne Farmer, University of Oxford, UK
     Dirk Helbing, ETH Zürich, Switzerland
     Jure Leskovec, Stanford University, US
     Alessandro Vespignani, Northeastern University, US

Special Issue

     The best original contributions will be invited to submit an extended
     version for inclusion in a special issue of EPJ Data Science (Springer).

Organizing Committee

     Giovanni Luca Ciampaglia, Indiana University, US
     Emilio Ferrara, Indiana University, US
     Alessandro Flammini, Indiana University, US
     Filippo Menczer, Indiana University, US

Program Committee

     Luca M. Aiello, Yahoo Research Barcelona, Spain
     Andrea Baronchelli, Northwestern University, US
     Pasquale De Meo, University of Messina, Italy
     Santo Fortunato, Aalto University, Finland
     Jacob Foster, University of Chicago, US
     Matteo Gagliolo, Université Libre de Bruxelles, Belgium
     Bruno Gonçalves, Aix-Marseille Université, France
     Andrea Lancichinetti, Northwestern University, US
     Michael Mäs, ETH Zürich, Switzerland
     Tamás Nepusz, Eötvös Loránd University, Hungary
     Orion Penner, IMT Lucca, Italy
     Nicola Perra, Northeastern University, US
     Filippo Radicchi, Universitat Rovira i Virgili, Spain
     José J. Ramasco, IFISC, Spain
     Carlos Roca, Universitat Rovira i Virgili, Spain
     Giancarlo Ruffo, University of Turin, Italy
     Daniel Villatoro, Barcelona Digital Technology Centre, Spain


-- 
Giovanni Luca Ciampaglia

Postdoctoral fellow
Center for Complex Networks and Systems Research
Indiana University

✎ 910 E 10th St ∙ Bloomington ∙ IN 47408
☞ http://cnets.indiana.edu/[email protected]






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-- 











John Prpic MBA 
PhD Student - SFU 
PMPerspectives Research Team 
TCOS Lab - Genome Canada

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