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.

Enhancing earthquake location with domain adapation

2023Masters Projects@Earth Sciences and Geosciences +Mathematics/Statistics #Domain adaptation#machine and deep learning#volcano-seismology#earthquake catalogs  Project Summaryto be updated. Léonard Seydoux Projects in the same discipline

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...

2024 diiP Projects Day

Date: Wednesday, December 4th Time: 9 AM to 5:30 PM Location: Vulpian Amphitheater, 12 rue de l’École de Médecine (75006 Paris)     *Registration closes on November 11th *Free to attend       This event brings together diiP researchers of 2024 to...

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-based EEG Epilepsy Detection and Analysis

2022Masters Projects@Neuroscience +Computer Science #EEG#epilepsy#epileptic pattern detection and analysis  Project SummaryElectroencephalogram (EEG) is one of the most common and essential medical signal collected by neural scientists for the analysis of nerve...

OpenStreetMap and Sentinel-2 data for the production of environmental indices for demographic studies

2023Masters Projects@Computer Science +Demography #Remote sensing#Demography#Deep learning#Sentinel 2#OpenStreetMap#Local climate zones#Africa Project Summaryto be updated. Sylvain Lobry Projects in the same discipline

Machine Learning techniques applied to eye movement analysis for early screening of learning disorders in young children

2021Masters Projects@Neuroscience +Computer Science #eye movement#learning disorders#machine learning  Project SummaryThere is a longstanding controversy about the existence of eye movement disorders and their role in dyslexia and school learning disorders. Using...

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...

Deep Mendelian Randomization: explaining causality between different hereditary traits at genome-wide scale

2024 Master's Projects@Mathematics/Statistics #Mendelian Randomization#Deep Learning#Double Machine Learning#Genomics#Pleiotropy  Project Summary Mendelian Randomization is a method that infers the causality between risk factors and diseases using genetic variants as...

Compact representations to detect gravitational waves from extreme-mass ratio inspirals

2024 Master's Projects@Physics/Astronomy #Gravitational waves#extreme-mass ratio inspirals#data representations#neural networks  Project Summary Extreme Mass Ratio Inspirals (EMRIs), detectable only by the future space-based detector LISA, provide a unique opportunity...