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.

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...

Studying the ability of teenagers to spot fake news over their usage-time on social networks

2022Strategic Projects@Psychology +Computer Science #fake news detection#symbolic AI Project SummaryThe spread of online fake news is emerging as a major threat to human society and democracy (Lazer et al., 2018). Now anyone with access to a phone or computer can...

Deeply Learning from Neutrino Interactions with the KM3NeT neutrino telescope

2022 PhD/ DIAI Projects @AstronomyParticle physics and graph neural networks Santiago PENA MARTINEZ Project Summary A new generation of neutrino experiments is in the horizon looking to explore many of the open questions on neutrino properties and searching for...

Leveraging multivariate geophysical and geochemical time series for monitoring volcanic systems: can we use machine learning?

2022 PhD/ DIAI Projects @Matthieu NougaretPhD student at Institut de Physique du Globe de Paris. Doctoral school 560.diiP, IdEx Université Paris Cité, ANR-18-IDEX-0001.   Charles Le LosqUniversité de Paris, Institut de physique du globe de Paris, CNRSLise...

Identification of image circulation by AI in large collections of historical photographs

2024 Master's Projects @Computer Science#computer vision#digital humanities#artificial intelligence#history of photography  Project Summary There is a blind spot for both the humanities and computer science when one considers the mass of heritage photographs now...

PhD scholarships on Data Intensive Artificial Intelligence (DIAI) 2022 campaign

Data Intelligence Institute of Paris (diiP)PhD Scholarships on Data Intensive Artificial Intelligence Presentation of the DIAI projectExtracting knowledge from the data means that we need to perform analysis tasks that are becoming...

Blind Image Deblurring via Latent Diffusion Models

2024 Master's Projects @Mathematics/Statistics #blind deblurring#diffusion models#deep learning#statistics  Project Summaryto be updated. Andrés Almansaandres.almansa@parisdescartes.fr- Research Director at CNR Projects in the same discipline

Diffusion Models Based Visual Counterfactual Explanations

2024 Masters Projects @Computer Science    #Visual counterfactual explanations #Diffusion Models #Identification of subtle phenotypesProject Summary to be updated   Valerie MezgerProjects in the same discipline

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,...

DNA methylation in patients: A new meta-analysis of EPIC data across borders

2024 Master's Projects @Medicine#bio-informatics #epigenetics #DNA methylation #patient diagnosis  Project Summary Rare diseases (RD) affect over 300 million people globally, with many still lacking a confirmed diagnosis. The project aims to enhance the diagnosis...