vendredi 24 mars 2017

EDBT, Headwork...

Panel at the Extending Database Conference, in Venice, Italy. Participation to the panel : Database Technology and Behavior, Security, Ethics, Rights and Duties of Citizens

Participation to the ANR project Headwork; http://headwork.gforge.inria.fr

 Crowdsourcing relies on potentially huge numbers of on-line partic- ipants to resolve data acquisition or analysis tasks. It is an exploding area that impacts various domains, ranging from scientific knowledge enrichment to market analysis support. But currently, existing crowd platforms rely mostly on low level programming paradigms, rigid data models and poor participant profiles, which yields severe limitations. The low- level nature of existing solutions prevents the design of complex data acquisition workflows, that could be executed, composed, searched and even be proposed by participants them- selves. Taking into account the quality, uncertainty, inconsistency and representativeness of participant contributions is still an open problem. Methods for assigning a task to the correct participant according to his trust, motivation and expertise, automatically improving crowd execution time, computing optimal participant rewards, are missing. Similarly, usual crowd campaigns produce isolated and rigid data sets: A flexible and common data model for the produced knowledge about data and participants could allow participative knowledge acquisition. To overcome these challenges, Headwork will define:
  • Rich workflow, participant, data and knowledge models to capture various kind of crowd applications with complex data acquisition tasks and human specificities
  • Methods for deploying, verifying, optimizing, but also monitoring and adapting crowd- based workflow executions at run time.

Partners

To reach its goals, Headwork will rely on two experts of large participative knowledge acquisition platforms
  • Cesco (Musée National d'Histoire Naturelle)
  • FouleFactory
  • Valda (INRIA Paris)
  • Druid (Rennes 1)
  • Links (Inria-Lille)
  • Sumo (Inria-Bretagne)
 

vendredi 17 mars 2017

Big data and Law

Presentation at the conference on "Law and Big Data: How Information Analytics Will Change the Law"
March 17th, 2017, Palais du Luxembourg, Paris

Vidéo



samedi 11 mars 2017

Fondation Sopra-Steria, Prix étudiant

Participation au jury du prix. Des projets super sympas.

Participation au comité éditorial de "Les Big Data à découvert", CNRS édition, sous la direction de Mokrane Bouzeghoub et Rémy Mosseri
  • le livre est plus intéressant que son titre 
  • avec "L'analyse de données, dérives et bonnes pratiques : écrit avec Julia Stoyanovich de Drexel U.

vendredi 3 mars 2017

Algorithmes, données numériques et gouvernement

Présentations dans le cadre d'un séminaire à France stratégie avec Dominique Cardon sur : Diffusion de l’information : quels enjeux démocratiques ?