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.

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...

Machine Learning techniques applied to eye movement analysis for early screening of learning disorders in young children

2021Masters Projects@Neuroscience +Computer Science #eye movement#learning disorders#machine learning  Project SummaryThere is a longstanding controversy about the existence of eye movement disorders and their role in dyslexia and school learning disorders. Using...

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...

Learning the magneto-ionic side of the turbulence in the interstellar medium in radio-astronomy

2022 PhD/DIAI Projects @AstrophysiqueJack Berat(LPENS, UPC)Project Summary The phase transition from warm neutral medium to cold neutral medium in the interstellar medium (ISM) is affected by the magnetic field. The polarization of the synchrotron emission is one of...

DNA methylation in patients: A new meta-analysis of EPIC data across borders

2024 Master's Projects @Medicine#bio-informatics #epigenetics #DNA methylation #patient diagnosis  Project Summary Rare diseases (RD) affect over 300 million people globally, with many still lacking a confirmed diagnosis. The project aims to enhance the diagnosis...

PhD scholarships on Data Intensive Artificial Intelligence (DIAI), 2021

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 increasingly...

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...

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...

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

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...