Big data, smart models – analysis of the French Presidential Elections

Big data, smart models – analysis of the French Presidential Elections

Members of our community have investigated the French elections as case for both dynamic modelling of complex social systems and large-scale data visualisation.

David Chavalarias, CNRS Research Director, Centre d’Analyses de Mathématiques Sociales (CAMS), Ecole des Hautes Etudes en Sciences Sociales (EHESS) and Director of the Complex Systems Institute of Paris Ile-de-France (see homepage) and his team have developed a so-called Politoscope to analyse communication activities around political events. The tool can be found here: https://politoscope.org/ See also its about page https://iscpif.fr/chavalarias/2017/04/01/politoscope/.

The Politoscope has been applied for the case of the recent French Presidential Elections : https://presidentielle2017.politoscope.org/

 

The New York Times has published an article of Serge Galam, reflecting about his work to model motivation and behavior of voters and its relevance for the French Presidential Elections on May 5, 2017. The French Essay can be found here: https://www.nytimes.com/2017/05/05/opinion/abstention-france-election-marine-le-pen.html Its English translation: https://www.nytimes.com/2017/05/05/opinion/abstention-frances-last-temptation.html?_r=0.
Professor Serge Galam is a physicist, founder of the field of sociophysics, working  at the Centre national de la recherche scientifique (CNRS) as member of Cevipof, a political science research institute at Sciences Po.