Summer School 2018 – Organizing committee

Silhouette femme Malika MADELIN
 Prodig : Pôle de Recherche pour l’Organisation et la Diffusion de l’Information Géographique (UMR 8586)
 malika.madelin@univ-paris-diderot.fr
 http://www.prodig.cnrs.fr/spip.php?article1589

Malika MADELIN is an associate professor at University Paris Diderot and member of the UMR Prodig Laboratory. Her research focuses on fine scale climatology (urban climate, air pollution, vinegrape-cimate relationships) with an extensive use of digital tools (data treatment and visualization). She also investigates other fields (real estate, social networks) to highlight the methodological question they raise, in particular that of local territorial information.

Publications
  • PECOUT H., GRASLAND C., GUEROIS M., LE GOIX R., MADELIN M., NUSSBAUM F., VALETTE J.F., 2018 (à paraître). Information territoriale locale et analyse comparative des dynamiques métropolitaines : le projet Grandes métropoles. In Cailly, Lafarge, Ruas, Saez, Demande(s) territoriale(s), Karthala (Collection CIST)
  • GIRAUD T., GRASLAND C., GUÉROIS M., MADELIN M., SEVERO M., 2017. Données massives et information géographique. CNRS, Lettre de l’INSHS, janvier, 25-28.

Florent LE NÉCHET

 Florent LE NÉCHET
 LVMT : Laboratoire Ville Mobilité Transport (UMR T 9403)
 florent.lenechet@u-pem.fr
 http://www.lvmt.fr/equipe/florent-le-nechet/

Florent LE NECHET is a Senior Lecturer at Paris-Est Marne-la-Vallée University (UPEM), a researcher at the Laboratoire Ville Mobilité Transport (LVMT) and a lecturer at the Paris School of Urban Planning (EUP). An Engineer and a geographer, his research focuses on measuring and modeling the links between territorial spatial organization and mobility practices. Its tools combine data analysis, including massive location data, and multi-agent modeling. As a teacher at the Paris School of Urban Planning, he is co-responsible for the Master 2 “Transport, Mobility” course.

Publications
  • KORSU E., LE NECHET F. (2017), “Would fewer people drive to work in a city without excess commuting? Explorations in the Paris Metropolitan Area”, in Transportation Research Part A: Policy and Practice, 95, 259-274. DOI:10.1016/j.tra.2016.10.0302016
  • LE NECHET F. (2015), De la forme urbaine à la structure métropolitaine: une typologie de la configuration interne des densités pour les principales métropoles européennes de l’Audit Urbain. Cybergeo: European Journal of Geography.
  • LE NECHET F., MELO P. & GRAHAM D. (2012), Transportation-Induced Agglomeration Effects and Productivity of Firms in Megacity Region of Paris Basin. Transportation Research Record: Journal of the Transportation Research Board, (2307), 21-30.
  • LE NECHET F.  (2012), Urban spatial structure, daily mobility and energy consumption: a study of 34 European cities  Cybergéo : European Journal of Geography.  http://cybergeo.revues.org/24966

Thomas LOUAIL Thomas LOUAIL
 Géographie-Cités (UMR 8504)
 thomas.louail@parisgeo.cnrs.fr
 http://www.parisgeo.cnrs.fr/spip.php?article144

Thomas LOUAIL holds a permanent research position at the CNRS Institute for Humanities and Social Sciences (INSHS) and he currently works at Géographie-cités in Paris. He graduated in artificial intelligence at the university Pierre and Marie Curie (2005) and then did a PhD in computer science at the university of Evry (2010). From 2012 to 2016 he was a postdoc in various computer science and statistical physics units (Institut de recherche en Informatique de Toulouse [IRIT], Institut de Physique Théorique [CEA], and Institute for cross-disciplinary physics and complex systems [IFISC]). His work mainly focuses on the uses of pervasive anonymized individual data to measure, model and hopefully better understand social dynamics. He is particularly interested in the determinants of our spatial practices.

Publications
  • BARBOSA-FILHO et al.(2018) Human mobility: models and applications. Physics Reports, in press
  • LOUAIL et al. (2017) Crowdsourcing the Robin Hood effect in cities. Applied Network Science 2(11).
  • LOUAIL et al. (2015) Uncovering the spatial structure of mobility networks. Nature Communications 6(6007).
  • LOUAIL et al. (2014) From mobile phone data to the spatial structure of cities. Scientic reports 4(5276)

LabEx DynamiTe Summer School 2018

 Presentation

 Teaching team

 Programme

 Practical information