Data Institute

An interdisciplinary research Institute on how data change science and society.
The Grenoble Alpes Data Institute aims to undertake groundbreaking interdisciplinary research focusing on how data change science and society. It combines three fields of data-related research in a unique way: data science applied to spatial and environmental sciences, biology, and health sciences; data-driven research as a major tool in Social Sciences and Humanities; and studies about data governance, security and the protection of data and privacy.

  • The first field concerns the application of cutting-edge data science in several scientific domains. Data will be a major driver of future scientific discoveries. However, the effective management, analysis and sharing of large datasets is a significant roadblock. Collaboration between data scientists and domain scientists is the key to address the 21st century data challenge. The Grenoble Alpes Data Instittute will build upon methodological researches in machine learning, signal processing, statistics, and computational sciences to provide actionable tools for addressing concrete scientific challenges.
     
  • The second field concerns data-driven research as a major tool for research in Social Sciences and Humanities. Today vast amounts of social and cultural data are available thanks to massive processes of digitalization, the existence of social networks and the open data movement. Extracting value from these data is a major challenge for social sciences. The Grenoble Alpes Data Institute will encompass social scientists and humanists and enable them to work with computer scientists to carry out innovative projects.
     
  • The third field is about how the data revolution impacts society. While progress in data science and the existence of increasingly large and accessible data sets could lead to social benefits and scientific progresses, they also raise multiple legal, ethical and societal questions. In the Grenoble Alpes Data Institute, lawyers, sociologists, political scientists and economists will work closely with IT experts, data and domain scientists to propose solutions and liberate the full potential of data-driven research.

Published on March 9, 2017