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.

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...

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...

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

Investigating Diffusion Models for Astronomical Image Deconvolution – boosting the synergy between Euclid and LSST

2024 Master's Projects@Physics/Astronomy #diffusion models #image processing #deconvolution   🎉This project has been accepted at the ML4Physics workshop at NeurIPS!Project Summary This project tackles the problem of deconvolving astronomical images to uncover the...

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...

Statistical and machine learning methods for survival data: prediction, performance assessment and interpretability

2021PhD/ DIAI Projects@ED 386 : Sciences Mathématiques de Paris Centre PhD studentAriane CWILING(MAP5, UPC) SupervisorsOlivier BOUAZIZ (MAP5, UPC)Vittorio PERDUCA (MAP5, UPC)  Project Summary (Former title: Machine Learning for Survival Data Prediction with...

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

Veracity assessment framework for discovering social activities in urban big datasets

2022Masters Projects@Computer Science +Political Science+Economics+Sociology #veracity#value#big data#quality#social scientists Project SummaryA particular recent trend for social scientists is to understand the potential of big data in complementing traditional...

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...

Optimization of a physical force-field for simulations of non-coding RNA molecules

2022 Masters Projects @Biology +Computer Science+Physics/Astronomy #RNA modeling#force-field optimization#biomolecular simulations Project SummaryThe importance of the study of RNA molecules has been highlighted by the recent pandemic, with the SARS-CoV-2 virus...