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...

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...

Language-Independent Massive Network Attitudinal Embedding

2022Strategic Projects@Computer Science +Political Science #network embedding#sparse embedding ideological scaling#attitudinal data#ideologies#polarization#party systems  Project SummaryPublic opinion on different issues of public debate is traditionally studied...

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...

Tracking auto-immune diseases in electronic health record

2022Masters Projects@Medicine +Mathematics/Statistics+Biology #Rare diseases#Information retrieval#Knowledge graph#NLP#data mining#healthcare databases  Project SummaryThe collection of biomedical data requires a multitude of software tools for purposes ranging from...

A Simulated body approach to MRI-based fetal monitoring

2024 Strategic Projects@Computer Science #simulated bodies#amortised inferences#inductive bias#fetus#MRI    Project Summary Decision and Bayesian Computation (DBC)—Epiméthée (EPI) is a lab at the Institut Pasteur that hosts theoretical physicists and applied...

Combining visual and textual informations for enhancing image retrieval systems in radiological practices

2021Masters Projects@Computer Science +Medicine #medical imaging#computer vision#content-based image retrieval#data intelligent search#deep learning#fusion of image and text#MRI Project SummaryThe field of diagnostic imaging in Radiology has experienced tremendous...

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...

Towards design of protein knottin using deep learning

2024 Master's Projects@Biology #Transformers network finetuning#Structural bioinformatics#Protein/peptide prediction interaction#Knottin  Project Summary The Project explores the design of protein knottins to target P-selectin and integrins involved in vaso-occlusive...

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