About Governance Analytics

Since October 2016, “Governance Analytics” has brought together researchers in Computer Science, Economics, Management, Political Science and Sociology who work on the analysis of governance issues of our complex and ever-changing societies. It aims to build a “data factory” to acquire and process data for collective decision-making mechanisms, institutional dynamics, and the functioning of markets and organisations.

A team of post-doctoral researchers and engineers will support the research teams of Paris Sciences & Lettres (PSL) members to strengthen their ability in designing research protocols, data collection and processing, regardless whether they are massive (Big Data), poorly structured, dispersed (e.g. archives), or weak signals. The team’s ambition is to enlarge the impact of the PSL research both on the scientific level and in the public debate by using new corpus of data and advanced methodologies of analysis.

Despite the wide range of research themes within PSL, methodological questions regarding the acquisition and processing of data on governance issues are commonly raised. This IRIS project aims to provide PSL researchers with suggestions and solutions on methodological aspects by sharing our knowledge, and also by developing new skills and approaches.

The main missions of the Governance Analytics team are:

  • Assist any PSL researchers to define their strategy and applied research protocols (based on intensive data exploitation) on governance issues.
  • Provide support on innovative methodological aspects to research projects selected by the Steering Committee of Governance Analytics.
  • Conduct training activities designed for disseminating knowledge and techniques of data acquisition and processing in social sciences to both the PSL scientific community and students.
  • Organise scientific activities for the PSL research community around topics related to Governance Analytics and help it to acquire an international level of visibility.

The skills and knowledge of our post-doctoral researchers and engineers in data acquisition and processing cover the following themes:

  • Data Gathering, Integration and Diffusion
  • Data Mining and Machine Learning
  • Applied Micro-econometrics and Macro-econometrics

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The IRIS PSL “Governance Analytics” is led by Eric Brousseau in the framework of ANR-10-IDEX-0001-02 PSL. It is a partnership among the CNRS, Ecole des Hautes Etudes en Sciences Sociales, Ecole des Mines, Ecole Normale Supérieure and Université Paris Dauphine, where the team is hosted.