Data Intelligence Institute of Paris

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.

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

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...

Machine learning for the study of EEG data recorded during general anesthesia

2021Masters Projects@Mathematics and Statistics +Engineering+Medicine+Neuroscience #anesthesia#EEG#classification Project SummaryGeneral Anesthesia (GA) is a drug-induced, reversible condition with three commonly accepted goals: lack of experience of surgery,...

Large image time series analysis for updating vineyard geographic databases

2021Masters Projects@Computer Science +Earth Sciences/Geosciences #image time series analysis#deep learning#data indexation#optical satellite imagery#agriculture monitoring#crop type mapping#vineyard#VENUS images  Project SummaryThe available geographic databases,...

Prediction of protein-carbohydrate binding sites using deep learning methods

2023Masters Projects@Biology +Computer Science+Mathematics/Statistics+Chemistry+Bioinformatics #protein-carbohydrate interactions#deep learning#structural bioinformatics  Project Summaryto be updated. Tatiana Galochkina  Projects in the same discipline

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...

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

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...

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...

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,...