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

.

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.

Exploration of press articles related to Covid-19 at the European level within the Covid-19 Museum

2023Masters Projects@Mathematics and Statistics +Computer Science+Mathematics/Statistics+Linguistics #Covid-19 Museum#Newspaper analysis#Timeline  Project Summaryto be updated. Yves Rozenholc 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...

Prediction of demographic indicators from remote sensing images

2021PhD/ DIAI Projects@Informatique, télécommunications et électronique de Paris (EDITE) PhD studentBasile ROUSSE(LIPADE, UPC) SupervisorsValérie GOLAZ (INED)Sylvain LOBRY (LIPADE-EDITE, UPC)Géraldine DUTHE (INED)  In this PhD, which stems from and strengthens an...

Deep learning-based prediction of protein-carbohydrate interactions

2024 Master's Projects @Biology#protein-carbohydrate interactions #deep learning #structural bioinformatics  Project Summary Protein-carbohydrate interactions govern a wide variety of biological processes and play an essential role in the development of different...

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 to model genetic pleiotropy to understand the human genetic architecture

2023Masters Projects@Computer Science +Mathematics/Statistics+Biology #Pleiotropy#Deep Learning#Convolutional neural network  Project Summaryto be updated. Marie Verbanck Projects in the same discipline

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...

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

“Search for features in astrophysical objects close to cosmic neutrinos”. An indirect approach to cosmic neutrino association with astrophysical objects

2022Masters Projects@Physics & Astronomy +Computer Science #Neutrino and Gamma-Ray Astronomy#Deep Learning#Real Data Analysis#Data Augmentation Project SummaryThe work proposed here is in the field of Astroparticle Physics, a sub-branch of Physics dealing with the...