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.

Find the Data Institute's publications on HAL.

Data Science for Earth, Space and Environmental Sciences

This action (WP1) exploits the huge potential of applying modern data analytics in ESES. It overcomes disciplinary and technical barriers and provide new statistical and computational approaches, in particular for data in astrophysics to better characterize exoplanets, in oceanography to better infer vertical exchange in the ocean, and in ecology to reconstruct interaction networks between species.

Carlos Alberto Gomez Gonzalez

Carlos Gomez
is a data scientist. In October 2017, he was recruited by the Data Institute of the University Grenoble Alpes as a Junior Researcher in Data Science for Earth, Space and Environmental Sciences



Data Science for Life Sciences

Life and health sciences are changing rapidly: new technologies provide large-scale individual data (“omics” data) that can be related to health-related outcomes and medical imaging data. Identifying predisposition factors for disease and making predictions about health is a tremendous challenge for data scientists that we address by conceiving original data science methods, algorithms, and software to relate omics data to health-related traits. 

Massive and Rich Data for Humanities

This action (WP3) aspires to re-dimension research in the humanities fields, from small isolated corpora of rich data to a large interconnected corpus of rich data. It covers scientific problems ranging from the massive production of rich data, to operating, querying and visualizing voluminous data, through perennial preservation of the data and metadata, thus questioning methodology in humanity research.

Célia Marion has been recruited in November 2018 as assistant engineer to support technically Démarre SHS! and communicate on its projects.

Sylvain Hatier is a web developer. The Grenoble Alpes Data Institute has recruited him in 2019 to work on the contributive transcription platform - TACT - and to develop web tools for other projects supported by Démarre SHS!

Data Science, Social Media and Social Sciences

New data sources coming from the web and social media are made available to analyze social structures in innovative ways. Social media have recently become a promising observatory of society. Social scientists and computer scientists delivers new machine learning methodologies to provide a better understanding of the dynamics of opinions, careers and urban structures.


 Kévin Polisano is a data scientist. In September 2018, he was recruited as a postdoctoral researcher at LIG. He is working on structures and dynamics of communities on Twitter.



Clément Bert-Erboul
has been recruited in October 2018 as postdoctoral researcher by the Grenoble Alpes Data Institute to work at the laboratory Pacte on data science, social media and social sciences.


Data Governance, Data Protection and Privacy

This action (WP5) aims to analyze, in a multi-disciplinary perspective, why and how specific forms of data governance emerge as well as the consequences on the interaction between the state, the market and society. The focus is on the challenges raised by the collection and use of data for privacy, on the data subjects’ rights and on the obligations of data controllers and processors. A Privacy Impact/Risk assessments methodology and software are proposed. A case study is focus on medical and health data and makes recommendations on how they should be collected and processed.

Raouf Kerkouche

Raouf Kerkouche has been recruited since January 2018 as a PhD student in the Privatics team, at Inria. He's working on "Privacy-Preserving Processing of Medical Data", directed by Claude Castelluccia. The main goal of his project is to study the problem of medical data privacy and propose privacy-preserving solutions. Another objective is to design Privacy-preserving Machine-learning algorithms.


Camille Dubedout
is a PhD student since October 2018 at the center for studies on international security and European cooperation (Cesice) and the national agency for information systems security (Anssi). Entitled "Circulation, security and data governance in smart territories", her thesis proposes a new cross-disciplinary and comparative approach of smart territories with the cases of Lyon, Dijon, Barcelona and Copenhagen. Her doctoral research is led by Theodore Christakis (co-director of the Grenoble Alpes Data Institute) and co-supervised by members of the regulatory framework of Digital Security.