Organisation
Directions, co-heads of the work packages, people in charge of training and of relationships with corporations
5 work packages
Five research objectives will be addressed in 5 five different work packages
19 Labs involved
Specialized into spatial and environmental sciences, biology, and health sciences; Social Sciences and Humanities; data governance, security and the protection of data and privacy
  • News/Events
  • 2nd R-in-Grenoble working session
    on the October 17, 2019
    The second working session of the Grenoble R community will be about "Spatial data with packages {sf} and {raster}". Drinks and snacks are served during the second part of the session.
  • Bayes in Grenoble: Robin Ryder
    on the October 24, 2019
    Robin Ryder from Paris-Dauphine University will talk about "A Bayesian non-parametric methodology for inferring grammar complexity". The event will take place on October, 24 at 2:00 pm at IMAG building.
  • Data Science Seminar Series: Michel Gay
    on the October 24, 2019
    The Data Science Seminar Series bring high profile researchers to Université Grenoble Alpes to show the increasing role of data science in modern research. It is open to all researchers of Université Grenoble Alpes. For the 1st seminar of this year, we will welcome Michel Gay from GIPSA-LAB.
  • Health Data Challenge (2nd edition): Matrix factorization and deconvolution methods to quantify tumor heterogeneity in cancer research
    from November 25, 2019 to November 29, 2019
    This interdisciplinary challenge will be dedicated to the quantification of intra-tumor heterogeneity using appropriate statistical methods on transcriptomic and methylation data.

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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.
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