Prochains évènements

Mardi 14 Novembre 2017, 14h00-16h00, salle C108 à l'Université de Paris-Dauphine

Session de formation sur le logiciel Tableau


Governance Analytics vous invite à une session de formation sur le logiciel Tableau (https://www.tableau.com/fr-fr)

La présentation sera en français et les places sont limitées.
Merci de vous inscrire sur le site web suivant si vous êtes intéressé(e) :
https://www.tableau.com/fr-fr/community/events/seminaire-tableau-universite-paris-dauphine
Les participants sont encouragés à installer le logiciel avant de venir à la formation afin de réaliser quelques exercices.



Tuesday October, 24, 12h15-13h30, room P303, University of Paris-Dauphine

Tools and methods for accessing and processing textual and Web data:
“Topic Modeling” and “Web Scraping”


Many of the projects that responded to the call of research cooperation of Governance Analytics are related to the textual and/or Web data. However, project owners may not have a clear idea of what data are available or how they can get and process it. In this presentation, I will propose tools and methods that may help researchers identify potential research questions and methods based on the examples of ongoing Governance Analytics projects.

Bruno Chaves Coordinator of Governance Analytics



Mardi 13 Juin, 12h15-13h30, salle C108, Université de Paris-Dauphine

Dominique Meurs nous présentera :
Les femmes ont-elles vraiment raison de travailler plutôt dans le public que dans le privé?


Alors que la fonction publique emploie très largement des femmes, il y a relativement peu d’analyses sur les inégalités de rémunérations entre les hommes et les femmes dans ce secteur. Ce point aveugle est en partie lié à l’idée que les règles institutionnelles de recrutement et de fixation des rémunérations dans la fonction publique ajoutées au rôle protecteur des syndicats laissent moins de place à des inégalités selon le sexe. Toutefois un "plafond de verre" est également observé dans la fonction publique en France. Dans cette présentation, nous appliquerons une méthode proposée par Gobillon et al. (2015) pour estimer cette différence d'accès aux rangs les plus élevés. Dans un deuxième temps, nous montrerons que de ce point de vue, la fonction publique est très proche des pratiques du secteur privé.

Titre original de l’article : « Egalité professionnelle entre les hommes et les femmes : des plafonds de verre dans la fonction publique ? »
Publié dans : Economie et Statistique, 2016, volume 488-489, p. 97-121
Téléchargement : http://laurent.gobillon.free.fr/page_web/articles/fremigacci_al_2016_genre.pdf

Dominique Meurs est Professeure à l'Université de Paris Ouest Nanterre La Défense et Chercheuse à EconomiX (CNRS UMR 7235) et chercheuse associée Ined



Tuesday 30st May, 12h15-13h30, room P303, Université of Paris-Dauphine

Computational Legal Network Analysis


Introduction of Prof. Winkels:  Radboud G.F. Winkels is associate professor in Computer Science and Law at the "Leibniz Center for Law" (LCL) of the Faculty of Law of the University of Amsterdam, the Netherlands and dean of the PPLE college.

He started his academic career as a student in psychology at the University of Amsterdam. In April 1987 he received his Master's Degree (with honours) in Artificial Intelligence. Since then he has been working as a full-time AI-researcher at the University of Amsterdam, first at the department of "Social Science Informatics" (now  Human-Computer Studies Lab) and since March 1989 at the department of Law and Computer Science (now LCL), where he is now senior lecturer/associate professor. In this last capacity he is also a participant in the research school SIKS. His research deals with Intelligent Learning Environments, and Artificial Intelligence and Law.

Legal network analysis : Sources of Law form a large and growing network. Legislation is full of internal and external references, case law cites other case law and refers to legislation, legal doctrine and commentaries cite both case law and legislation and possibly other commentaries. This reserarch is aimed at trying to exploit this network structure to help (legal) practitioners and legal scholars. We address questions like: Can we use network features to determine authority of cases? Can we use it to assess the impact of planned legislative changes? Can we exploit the network structure to suggests useful sources of law to a practioner given a particular item, in focus? Can legal scholars use netweork analysis techniques to discover breaches in lines of thinking of courts?

Professor Winkels will give us a lecture on computational legal network analysis and disucss some applications in social sciences. Anyone interested in inter-disciplianary research on social sciences, legal studies and computer science should not miss it.

If you’d like us to provide a sandwich for you, please confirm your attendance by 26th May 2017

Speaker's websitehttp://www.leibnizcenter.org/~winkels/



Tuesday 28st March, 12h15-13h30, room A709, Université de Paris-Dauphine

The Best versus the Rest:
The Global Productivity Slowdown, Divergence across Firms and the Role of Public Policy


In this paper, we aim to bring the debate on the global productivity slowdown – which has largely been conducted from a macroeconomic perspective – to a more micro-level. We show that a particularly striking feature of the productivity slowdown is not so much a lower productivity growth at the global frontier, but rather rising labour productivity at the global frontier coupled with an increasing labour productivity divergence between the global frontier and laggard (non-frontier) firms. This productivity divergence remains after controlling for differences in capital deepening and mark-up behaviour, suggesting that divergence in measured multi-factor productivity (MFP) may in fact reflect technological divergence in a broad sense. This divergence could plausibly reflect the potential for structural changes in the global economy – namely digitalisation, globalisation and the rising importance of tacit knowledge – to fuel rapid productivity gains at the global frontier. Yet, aggregate MFP performance was significantly weaker in industries where MFP divergence was more pronounced, suggesting that the divergence observed is not solely driven by frontier firms pushing the boundary outward. We contend that increasing MFP divergence – and the global productivity slowdown more generally – could reflect a slowdown in the diffusion process. This could be a reflection of increasing costs for laggard firms of moving from an economy based on production to one based on ideas. But it could also be symptomatic of rising entry barriers and a decline in the contestability of markets. We find the rise in MFP divergence to be much more extreme in sectors where pro-competitive product market reforms were least extensive, suggesting that policy weaknesses may be stifling diffusion in OECD economies.

  • Peter N. Gal (OECD)

Speaker's website: http://www.peterngal.com/
Link to the paper: http://dx.doi.org/10.1787/63629cc9-en



Tuesday 21st February, 12h15-13h30, room C108, Université de Paris-Dauphine

Frontier Knowledge and the Creation of Ideas:
Evidence from the Collapse of International Science in the Wake of World War I


We quantify how access to frontier knowledge affects the creation of ideas. We show that citing frontier knowledge is correlated with producing high-quality papers. Because this correlation may be driven by unobserved factors, we identify the causal effect of frontier knowledge by analyzing a sudden collapse of international scientific cooperation. We show that World War I and the subsequent boycott against Central scientists severely reduced the dissemination of international knowledge, including knowledge at the scientific frontier. We then estimate how the reduction of international knowledge flows affected the productivity of scientists. Specifically, we compare productivity changes for scientists who relied on frontier knowledge from abroad, to changes for scientists who relied on frontier knowledge from home. After 1914, scientists who relied on frontier knowledge from abroad published fewer papers in top science journals and produced less Nobel Prize-nominated research. Our results indicates that access to the very best research, the top 1%, is essential for scientific progress.

  • Alessandro Iaria (CREST-ENSAE)

Speaker's website: https://sites.google.com/site/aleiaria82/home
Link to the paper: https://www.dropbox.com/s/d25bzozaptd3t6q/Knowledge%20Accumulation3_small.pdf?dl=0



Mardi 31 Janvier, 12h15-13h30, salle A403, Université de Paris-Dauphine

DFIH : Data for Financial History


This project is designed to develop a comprehensive database on the French stock markets since 1796, and to be extended to other kinds of data and to other European countries. In combination with other research infrastructures such as the SCOB database of the Antwerp University, it would meet the need for a benchmark infrastructure, first in France and then in Europe, to develop high-quality research by both scholars and the financial services.

  • Elisa Grandi: Paris Diderot University and Bologna University,
  • Raphaël Hekimian: Paris West University,
  • Emmanuel Prunaux: EHESS and Banque de France, chef de projet informatique du projet DFIH,
  • Angelo Riva: European Business School and Paris School of Economics, coordinateur du projet DFIH,
  • Stefano Ungaro: EHESS and Paris School of Economics.


Mardi 17 Janvier, 12h15-13h30, salle C108, Université de Paris-Dauphine

« Science et data science en santé.
‘Nouvelles’ méthodes d'accès et de traitement des données en santé. »


Big data, smart data, data science... sont autant de termes qui ont diffusé auprès du public et des différents domaines scientfiques en quelques années. Les domaines de la santé et la recherche biomédicale en particulier s'y sont intéressé à partir de 2008, et le nombre de publications portant sur le "big data" en santé augmente exponentiellement depuis 2012. Néanmoins, nous sommes encore essentiellement au temps des promesses qui restent à concrétiser et à évaluer. En France, en particulier, il existe encore assez peu d'initiatives concrètes relevant d'une data science en santé. Parmi ces initiatives, la plupart sont actuellement portées par le milieu hospitalier, que ce soit en Ile de France (APHP) ou dans le Grand Ouest (CHRU de Brest, Rennes). Nous présentons ici le contexte du big data en santé, ainsi que deux projets actuellement en cours de déploiement en milieu hospitalier. Le projet d'entrepôt de données de santé soutenu par l'APHP et recouvrant les données de tous les établissements de l'APHP sera également présenté. D'autres projets en perspective à court et moyen termes seront esquissés.

Les intervenants :

  • T. Lefèvre, APHP, Iris INSERM/CNRS/EHESS/UP13, coordinateur du groupe de réflexion ministériel big data en santé
  • A. Lichterowicz, Tekliko (PME Paris, Singapour)
  • R. Beaufret, APHP, dirige l'équipe WIND (Web Innovations en données de santé) de l'APHP