• 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.
  • Sylvain Douté is a researcher in Planetary Science at IPAG (Institute belonging to Grenoble Alpes University and CNRS). He obtained funding from the Grenoble Alpes Data Institute for his project "Massive analysis of multi-angular hyperspectral images of planet Mars by inverse regression of physical models".
  • Bayes in Grenoble: Raphael Frisch
    on the May 21, 2019
    Raphael Frisch (MicroBayes, Inria) will talk about "Stochastic sampling machine for Bayesian inference". The event will take place on May, 21 at 2:00 pm at Inria.
  • Guillaume Dehaene (EPFL) will talk about "Towards rigorous Variational Bayesian Inference". The event will take place on May, 28 at 2:00 pm at Imag building.
  • Global Challenges Science Week
    from June 3, 2019 to June 6, 2019
    The Grenoble Alpes Data Institute participates in the Global Challenges Science Week from June 3 to 6 at the World Trade Center in Grenoble.
  • 9th R-in-Grenoble working session
    on the June 13, 2019
    The ninth working session of the Grenoble R community will be about "Data vizualisation with package {ggplot2}". Drinks and snacks are served during the second part of the session.
  • Bayes in Grenoble: Julien Thurin
    on the July 2, 2019
    Julien Thurin (ISTerre) will talk about "Uncertainty estimation in seismic tomography with ensemble Data Assimilation". The event will take place on July, 2 at 2:00 pm at Imag building.
  • This interdisciplinary challenge will be dedicated to the quantification of intra-tumor heterogeneity using appropriate statistical methods on transcriptomic and methylation data.


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.