18,209 Call for papers: Collective Intelligences: Communities And Epistemic Interactions – updated calendar

We are pleased to send you the updated calendar the call for articles for an issue of the journal Les Cahiers du Numérique. The reception of articles is set now for July 31.

CalendarSubmission deadline: 07/31/2021
Date of notification to authors: 08/31/2021
Date of dispatch of the final version: 09/30/2021
Publication of the number: end of October 2021

Call for papers: Collective Intelligences: communities and epistemic interactions

We invite you to submit your papers and we thank you for spreading this call in your networks.

Kind regards,

Edwige Pierot and Antoine Henry


Collective Intelligences: communities and epistemic interactions

Special Issue Editors: Edwige Pierot and Antoine Henry

Our activities instrumented by information and communication technologies (ICTs), result from an economic, technological, political and cultural model of development initiated with the “information society” and continued with the “knowledge economy”. The most recent milestones of this model are open society and open science.

Open society and science are nested in an economy based on the maturity of ICTs and the stability of networks. They are made up of infrastructures and materials, technological objects and agents, instrumented interactions and a diversity of resources (software, musical scores, text documents, data, etc.). Online Social Networks contribute to them, firstly because they are based on an instrumented sociability and understood as spaces that can accommodate a wide variety of activities (including information and monitoring approaches, user-generated content and digital mediation). Secondly, because of the massification of accesses that leads to a symmetry of relations between users in expert classes and lay classes, for instance with projects and approaches in the field of participatory science. Deployed in numerous sociotechnical devices, technologies support the operating matter of these networks which are the object of studies on digital traces, uses, digital divides or digital labor for example. The massification of ICTs in the digital environment is illustrated by the deployment of the web and its services. The model of development underlying this massification has, until recently, envisaged perspectives such as the Semantic Web and the Web of Data. In economic terms, all these resources are characterized as public or private goods, but also as common goods. The data that fall under these categorizations, whether open, linked or massive, are inherent to the functioning of platforms, sociotechnical devices and their services, and indispensable to this model which requires and is nourished by informational and communicational processes implemented in communities to which actors of the society take part.

Since sociologist F. Tönnies’s work in the 19th century, communities have been analyzed, among others by researchers in information and communication sciences who examine the informational and communicational processes implemented in networks and sociotechnical devices. The literature on communities highlights the principle of common interest and their roots in pre-existing social structures and institutions. Thus, for the communities, networks are the support to share numerous forms of knowledge (lay, experiential, constructed, theoretical, academics) and constitute spaces for interaction whose purpose (intended or induced) is revealed under this knowledge. Academic researchers have established a typology of communities, including virtual communities, communities of practice, communities of learners, or epistemic communities. Recent research has shown the presence of epistemic properties in these different types of communities and the study of virtual communities of practice in a platform organization has put into perspective their propensity to Collective Intelligence.

If the concept of Collective Intelligence is old, notably identified with regard to the construction of scientific knowledge and religion, its revival is favoured by the convergence between computer science and telecommunications. In reference to this posture, Engelbart has referred to individuals with distributed minds and co-evolving in the technical system. The idea of an instrumented Collective Intelligence, which fuels the collectives where it operates, emerged with the digital environment and gave rise to an anthropological view from which a technological structure and its social implications are articulated. The notion, which has been taken up in the perspective of the Social Web where the Internet users are considered as participants in the development of applications, is also observed from a political point of view. This social approach to Collective Intelligence highlights the lack of interest in the questions of codification of knowledge which are nevertheless essential to their circulation and their organization. However, the interweaving of networks and communities renews and revives the notion of Collective Intelligence by pluralizing it; it is a subject of study that is all the more topical since the circulation of scientific knowledge, as well as the formation of a scientific culture of citizens, are at the heart of the notions of open science and open society.

We propose to bring together disciplinary as well as interdisciplinary or applied sciences papers that study and manipulate this object in order to shed light on the possible arrangements or what they question. We therefore welcome contributions that:

– study the theoretical scope and propose studies of data use (Open Data, Linked Data, Linked Open Data) embedded in these arrangements.

– analyse the place and role of communities in the formation and development of Collective Intelligence or the convergences/divergences between Collective Intelligence and Artificial Intelligence.

– are involved in the implementation of social interactions. Proposals relating to the Online Social Networks could, for example, relate to the dynamics between power and knowledge relationships with which they are in contact: on the one hand from the point of view of the modalities of the construction of information, data and knowledge (technological choices and their governance for example), and, on the other hand, with regard to the authority, trust and credibility of information and knowledge in their dimensions of mediation and support of action, whether the latter have a societal, deliberative or scientific vocation.

– address the topicality of the issues relating to digital platforms, their connection to communities in terms of coordination and assistance, accessibility, usability and use of resources and knowledge, and that analyze a technocentrism combined with the calculability of data rather than question relating to the synthesis carried out by the intellect could be explored.

– question the principles and the ethical scope of the object, related to surveillance capitalism, academic research, but also economic and legal issues that cross it, particularly with regard to data governance, or technological choices.

Submissions should take the form of a full article of 20-25 pages (approx. 50,000 characters including spaces, footnotes and bibliography). They are accepted in both French and English. Authors should take care to respect the journal’s style sheet available at: https://lcn.revuesonline.com/appel.jsp.
The proposals will be reviewed by the members of the reading committee and the selection will follow a strictly double-blind review process. To ensure that the evaluation goes smoothly, we would like to ask the authors to send two files to the special issue editors. One anonymized file that includes the title, the abstract in French and English, 3 to 5 keywords, and the text of the article. The authors will have taken care to remove any element allowing them to be identified. The second file should contain the title of the article, the identity of the authors, their institutional affiliation and their electronic contact details.

We ask that the articles be sent directly to both editors at the following addresses: epierot[at]free.fr and antoine.henry[at]univ-lille.fr.

Committee members:

  • –  Serge Agostinelli, Université des Antilles
  • –  Ghislaine Chartron, CNAM
  • –  Laurence Corroy, Université de Lorraine
  • –  Armen Khatchatourov, Université Gustave Eiffel
  • –  Fabien Liénard, Université du Havre
  • –  Widad Mustafa El Hadi, Université de Lille
  • –  Nathalie Pinède, Université Bordeaux Montaigne
  • –  Khaldoun Zreik, Université Paris 8

Cardon, D. (2015). À quoi rêvent les algorithmes : nos vies à l’heure des big data. Paris: Le Seuil éditions.

De Certeau, M. (1990). L’invention du quotidien I. Arts de faire. Paris : Gallimard éditions.
Flichy, P. (coord.) (2010). « Les nouvelles formes de collectifs », Réseaux, vol. 6, n° 164. Paris : La Découverte éditions.

Jeanneret, Y. (2011). Y-a-t-il (vraiment) des technologies de l’information ? Villeneuve d’Ascq : Presses universitaires du Septentrion, nouvelle édition.

Kerckhove, D. de. (2000). L’intelligence des Réseaux. Paris : Odile Jacob éditions.
Lévy, P. (1997). L’intelligence collective : pour une anthropologie du cyberespace. Paris : La Découverte éditions.

Salaün, J.-M. (2012). Vu, Lu, Su : les architectes de l’information face à l’oligopole du web. Paris : La Découverte éditions.

Stiegler, B. (2015). La société automatique : 1 l’avenir du travail. Paris: Fayard éditions.
Vidal, G. (dir.) (2012). La sociologie des usages : continuités et transformations. Paris : Hermès Lavoisier éditions. Wenger, E. (1998). Communities of practice. Cambridge : Cambridge University Press.


Por favor, inicia sesión con uno de estos métodos para publicar tu comentario:

Logo de WordPress.com

Estás comentando usando tu cuenta de WordPress.com. Salir /  Cambiar )

Google photo

Estás comentando usando tu cuenta de Google. Salir /  Cambiar )

Imagen de Twitter

Estás comentando usando tu cuenta de Twitter. Salir /  Cambiar )

Foto de Facebook

Estás comentando usando tu cuenta de Facebook. Salir /  Cambiar )

Conectando a %s

Este sitio usa Akismet para reducir el spam. Aprende cómo se procesan los datos de tus comentarios .