Current European language education policies are governed by two pillars: the task-based approach and verbal interaction. Since the mid-1990s, with the emergence of computer-mediated communication tools, there has been an introduction of telecollaboration and virtual exchange in foreign language learning, with a progressive institutionalization of these forms of learning arriving at the Erasmus + Virtual Exchange project of the European Commission. The scientific goal of our network is to advance our knowledge of foreign language acquisition in computer-mediated communication and to translate this knowledge into the design of language learning environments and tasks in the private and public sectors. This scientific goal is pursued by a network currently comprising eight European partners in six countries, two non-European partners and one partner from the United Kingdom. The disciplines present are language sciences, education sciences and computer science. The areas of expertise in the consortium are multimodal analysis of the interactive dynamics underlying language acquisition (conversational alignments, specific phenomena such as negotiations of meaning), multimodal corpus building and analysis using (semi-)automatic natural language processing tools, task design and digital learning environments, online language training management and marketing. This consortium is expected to expand with greater participation from the private sector. The consortium will pursue R&D by training and collaborating with a group of ten young researchers. These young researchers will be trained to develop transversal skills that will enable them to navigate between the public and private sectors. This training will be done by combining distance learning, training with periods of mobility (between academic partners and in companies), and an annual one-week training course bringing together all the partners. Within the framework of the MRSEI project, the following tasks will be carried out: formalization of the scientific programme for submission to the AAP MSCA ITN; recruitment of non-academic partners; formalization of the training of young researchers; planning of dissemination; writing of the ITN project. These tasks will be accomplished through two three-day meetings with the entire consortium and close collaboration between the work-package managers of the future ITN project. The consortium will be helped by Protisvalor, the subsidiary of Aix Marseille for the support of researchers in the writing of European projects. By supporting the future ITN project by a French team, this project will consolidate the role of France and the tools and infrastructures it finances (such as the Ortolang platform, Equipex ANR-11-EQPX-0032) in European research.

The Data PACT project aims at analysing and fostering data culture through the development of two main activities: the creation of a database about data practices and initiatives in involved European countries and the analyse of publics and practices in a “datafied society”. These two activities will settle the basis of the H2020 proposal : coproduction of new activities with citizens and cocreation of knowledge about and with data. First we think that data culture takes plural form in different social and cultural contexts and is reflected in many practices : mediatic, routine, associative, militant, etc. Second we are convinced that a critical approach is necessary and we strongly disagree with an universalizing and homogenizing conception of data publics and practices. We advance the hypothesis that there are data cultures as a new field of scientific culture and it could be enhancing by establishing links between scientific vulgarization and media literacy. Our goal is to move beyond traditional data literacy endeavours by taking into account activities emerging in societies. Moreover, we firmly believe that, in order to go further on this topic, researchers have to cross their expertise, create new interdisciplinary methods with and for citizens and document their observations and processes. The Data PACT project has configured an academic network from 8 countries in Europe (Belgium, England, France, Luxembourg, Netherlands, Portugal, Spain, Italy). Several disciplines are represented as the network will working in an interdisciplinarity way: information science, media and communication studies, computer science, design, data science, citizen science. This variety of perspectives is strengthened by different methodological approaches: data analysis, sociological inquiry, visualization techniques, living labs etc. Network members experiment and set up different actions to define, transmit and coproduce data culture: citizen workshop, educational program, data camp, analysis tools, etc. As we explore different fields, it allows us to deal with people practices and to analyze and compare their differences and similarities in regard to established new initiatives. Citizens interact, produce or engage in data-oriented activities in an everyday pace. However, we aim at identifying the different processus ways data cultures are emerging in society. We foresee mainly five fields at this phase: 1) data of everyday things and life (ordinary use of data) 2) retro-engineering (opening the black box and understanding logics of data); 3) data activism (participatory and debate with data); 4) participatory science (citizen as producer and analyst of data with the support of researchers); 5) media data and data art (the use of data from an aesthetic and artistic perspective). Our network targets "Integrating Society in Science and Innovation – An approach to co-creation" H2020. The main goal is to build documentation about practical activities to forther replication, improvement, sharing. The Data PACT project has the intention to, first, conduct a situational analysis of data culture initiatives and events in each involved country. The outcome of this phase takes the form of an opendatabase, which is conceived and configured collectively from its basic structure. In a second and larger phase, the project confronts people to their practices. It is about fostering a reflective thinking on data culture, to unveil contrasts between established practices and emerging ones. Data culture, considered as a new scientific culture, addresses problems of specifications, objectives and methods that propel everyday practices and try to formalize them in order to communicate with other initiatives. The purpose is not strictly to develop a data-driven education or evangelization of data-based methods. We rather describe and understand empirical methods that increase public engagement and encourage the dissemination of data culture.