• News/Events
  • Call for proposals: Exchange program
    on the October 15, 2018
    The Grenoble Alpes Data Institute launches a call for international collaborations with Data Institutes.
  • Job opportunity: research engineer in software engineering
    from November 15, 2018 to February 3, 2019
    We are looking for a research engineer that will implement innovative teaching and research methods in data science such as data challenges.
  • 5th R-in-Grenoble working session
    on the January 31, 2019
    The fifth working session of the Grenoble R community will be about "Deep Learning with package {keras}". Drinks and snacks are served during the second part of the session.
  • Maike Sonnewald is a postdoctoral researcher working at MIT EAPS (Earth, Atmospheric and Planetary Sciences) and Harvard. She has been greeted by GIPSA-Lab and IGE with the support of Grenoble Alps Data Institute. For two weeks, she has shared her expertise at the interface of oceanography and complex system simulation.
  • Rémy Jardillier, Florent Chatelain and Laurent Guyon publish "Bioinformatics Methods to Select Prognostic Biomarker Genes from Large Scale Datasets: A Review" in Biotechnology Journal in the framework of the Data Institute’s work package 2 “Data Science for Life Sciences”.
  • CompSysBio 2019
    from March 31, 2019 to April 6, 2019
    The Advanced Lecture Course on Computational Systems Biology will be held in Aussois between March 31st and April 6th, 2019.
  • Global Challenges Science Week
    from June 3, 2019 to June 6, 2019
    Grenoble Alps University organizes the Global Challenges Science Week from June 3rd to 6th at the World Trade Center.

 

Grenoble Alpes 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.
 
Data-driven innovation is a key pillar of 21st-century growth and will significantly enhance scientific progress, economic competitiveness and social well-being.

The Grenoble Alpes Data Institute is created in a timely manner in order to undertake promising data-related research on strategic fields including climate change, space, health, the protection of freedom and security of European citizens, and the promotion of innovative societies.