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.

Digital Pathology: when AI meets with anatomo-pathology

2021Masters Projects@Computer Science +Mathematics/Statistics+Engineering+Medicine #Digital Pathology#Computer Vision#Deep Learning#Immuno-therapy  Project SummaryThe fundamental question we address is: How to predict immunotherapy-related gene classes of tumor just...

Automatic production of environmental indicators from freely available remote sensing data: from a global to a local scale

2021Masters Projects@Computer Science +Earth Sciences/Geosciences+Demography #Remote sensing#Deep learning#Sentinel 2#Local climate zones#Africa Project SummaryThis collaborative project aims at studying the feasibility of automatically producing repeatable indicators...

Machine learning model of volcanic lava properties helps understanding the dynamics of volcanic eruptions

2021Masters Projects@Earth Sciences and Geosciences +Chemistry #melt#glass#material#properties#neural networks#thermodynamics  Project SummaryHow do molten silicate melts move? How do they exchange heat with their surrounding? How do they crystallize? These...

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...

Autoimmunity/inflammation Through RNAseq Analysis at the single Cell level for Therapeutic Innovation – ATRACTion

2021Strategic Projects@Medicine +Computer Science+Biology #Single Cell#Omics#Data Integration#Primary Immune Deficiencies#Personalized Medicine  Project SummaryPrimary Immune Deficiencies (PIDs) comprise different monogenic diseases related to developmental or...

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...

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...

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

The diffusion of technology during the last five millennia

2022Masters Projects@Economics +Computer Science+History+Digital Humanities #Technology Diffusion#Growth#Trade#Cultural Heritage Metadata  Project SummaryTechnology diffusion is often considered to be one of the most important drivers of economic growth, but its...

ComplexNeuroViz: Complexity Visualisation for Neural Machine Translation

2021Masters Projects@Linguistics +Computer Science #XAI (Explainable Artificial intelligence)#neural networks#neural machine translation#dataviz#linguistic complexity  Project SummaryThis project aims at improving visualisation of neural networks when they process...