Comité Codata France

Conference Data Value Chain in Science and Territories

The International conference Data Value Chain in Science & Territories will take place on Thursday 14 & Friday 15 march 2019 in Paris-Est Marne-la-Vallée University (near Paris): auditorium, multimedia library, 2 place d’Ariane 77700 Serris – City Center.

DATA VALUE CHAIN IN SCIENCE & TERRITORIES – ORGANISERS
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DATA VALUE CHAIN IN SCIENCE & TERRITORIES – OBJECTIVES
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One of the main challenges, in most fields, is to handle and process a huge amount of data coming from a large spectrum of professional, scientific or open sources. This data, by nature heterogeneous and generated by people, systems, things (IoT) and intelligent networks, may be handled directly or transmitted by different remote operations.

This raises several technical and societal problems with respect to data coherence and quality, data privacy and protection, as well as the need to develop original techniques and powerful tools for collecting and processing large volumes of data.

In a multidisciplinary approach centred on Information and Data Science, the conference focuses on how to raise, retrieve, and build relevant datasets and knowledge from different fields to manage and optimise data evaluation and also aims at a transversal approach between different domains, techniques, processes, strategies and uses of data.

The contributions can report specific cases, generic models, constructivist and critical postures. Inter-disciplinary contributions, both in engineering or in human and social sciences are expected to discuss the paradigm of data as a source of information, knowledge, and various indicators.

DATA VALUE CHAIN IN SCIENCE & TERRITORIES – PUBLICATION
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Accepted articles will be published in Conference Proceedings with ISBN  by Comité Codata France in cooperation with University of Paris-Est Marne-la-Vallée and Cnam Paris.

Best papers may be published later in international specialised journals.

DATA VALUE CHAIN IN SCIENCE & TERRITORIES – MORE INFORMATION
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Call for papers Data Value Chain in Science & Territories

Extended Abstract submission

Submission guide

Registration