Data Intelligence Institute of Paris

 

The Data Intelligence Institute of Paris (diiP) completed its lifecycle in December 2024. These pages remain active in order to give easy access to all the material produced and gathered during the previous years; most notably to the Distinguished Lectures, as well as to the Seminars and Hands-On Workshops organized by diiP on data science introductory and advanced topics (in the menu, under “Events”).

The Data Intelligence Institute of Paris (diiP) is an interdisciplinary initiative of Université Paris Cité. It is a laboratory that fosters and supports the emergence of interdisciplinary practices around data science and data intelligence. It gathers researchers from formal sciences, physical sciences, life sciences and social sciences.

“The mission of diiP is to foster a new wave of scientific discoveries by enabling scientists and practitioners to make sense of their large and complex data, and achieve breakthroughs that would not otherwise be possible.”

Prof. Themis Palpanas

Director of diiP

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diiP Projects

PhD Scholarships

 

Several PhD Scholarships (supported by the ANR Data Intensive Artificial Intelligence -DIAI- project) will be offered by diiP (starting on academic year 2021-2022) for students working on interdisciplnary projects on topics related to data intensive artificial intelligence.

Strategic projects

 

The diiP institute will host and partly finance a small number of interdisciplinary Strategic Projects, of duration up to 12 months each, with the goal to contribute to both the analysis and implementation aspects.

Master’s Internships

 

The diiP institute will organize and finance several six-month Masters students Internship Projects on data science, in connection to interdisciplinary collaborations.

Smoothing of incomplete air pollution regions of interest from satellite observations

2021Masters Projects@Computer Science +Physics/Astronomy #image analysis#segmentation#air pollution#ozone#satellite imaging Project SummaryEnvironmental questions such as atmospheric pollution and climate change are key issues for our modern society to live in a more...

Artificial Intelligence for source deblending in the next generation of astrophysical big data imaging surveys – Combining Euclid and LSST

2021Masters Projects@Physics and Astronomy +Computer Science+Mathematics/Statistics+Physics/Astronomy #cosmology#astrophysics#probabilistic deep learning#image processing  Project SummaryAstronomy, as many other disciplines, is entering a big data era. The next...

Dark energy studies with the Vera Rubin observatory LSST & Euclid-developing a combined cosmic shear analysis with bayesian neural networks

2021PhD/ DIAI Projects@ED 560 : Sciences de la Terre et de l’Environnement et Physique de l’Univers de Paris (STEP'UP) PhD studentJustine ZEGHAL (AstroParticule & Cosmologie, UPC) SupervisorsEric AUBOURG (APC, UPCAlexandre BOUCAUD (APC, UPC)Cécile ROUCELLE (APC,...

Design principles of property graph languages

2021 PhD/ DIAI Projects @ED 386 : Sciences Mathématiques de Paris CentrePhD studentAlexandra ROGOVA (IRIF, DI ENS)   SupervisorsAmélie GHEERBRANT (IRIF, UPC),Leonid LIBKIN (Laboratory for Foundations of Computer Science, University of Edinburgh)  Project...

Digital Pathology: when AI meets with anatomo-pathology

2021 Strategic Projects @Computer Science +Engineering+Biology+Medicine #Digital Pathology#Immuno-therapy#Computer Vision#Deep Learning  Project Summary The fundamental question we address is: How to predict immunotherapy-related gene classes of tumor just by the...

Deep learning for estimating gas concentration maps from satellite or airborne hyperspectral images

2024 Master's Projects@Mathematics/Statistics #hyperspectral imaging#atmospheric monitoring#earth observation#deep learning  Project Summaryto be updated. Andrés Almansaandres.almansa@parisdescartes.fr- Research Director at CNR Projects in the same discipline

Deep Learning-based EEG Epilepsy Detection and Analysis

2023Strategic Projects@Computer Science +Medicine # EEG analysis#epileptic pattern detection#deep learning#active learning  Project SummaryElectroencephalogram (EEG) is one of the most common and essential medical signal collected by neural scientists for the analysis...

Quantifying the interaction between grammatical gender and social gender roles at a worldwide scale

2024 Strategic Projects@Linguistics #grammatical gender#social gender#morphology#sociolinguistics#quantitative linguistics  Project Summary Gender relationships are changing and the gender disparity of today is questioned in many societies. It is important to...

Transcriptomic Analysis using Intensive Randomization

2022Masters Projects@Computer Science +Mathematics/Statistics+Biology #Big data#RNA-seq#computational optimization#GPU parallelization#differential analysis Project SummaryNext-generation sequencing such as RNA-seq aims to quantify the transcriptome of biological...

“Search for features in astrophysical objects close to cosmic neutrinos”. An indirect approach to cosmic neutrino association with astrophysical objects

2022Masters Projects@Physics & Astronomy +Computer Science #Neutrino and Gamma-Ray Astronomy#Deep Learning#Real Data Analysis#Data Augmentation Project SummaryThe work proposed here is in the field of Astroparticle Physics, a sub-branch of Physics dealing with the...