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.

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...

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...

Studying the ability of teenagers to spot fake news over their usage-time on social networks

2022Strategic Projects@Psychology +Computer Science #fake news detection#symbolic AI Project SummaryThe spread of online fake news is emerging as a major threat to human society and democracy (Lazer et al., 2018). Now anyone with access to a phone or computer can...

Automatic detection and location of hydro-acoustic signals linked to Mayotte submarine eruption

2022Masters Projects@Earth Sciences and Geosciences +Computer Science+Mathematics/Statistics #Mayotte#hydro-acoustic event#template matching Project SummarySubmarine volcanic eruptions generate numerous seismic and hydro-acoustic signals (West Mata, Axial Seamount)...

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...

Enhancing earthquake location with domain adapation

2023Masters Projects@Earth Sciences and Geosciences +Mathematics/Statistics #Domain adaptation#machine and deep learning#volcano-seismology#earthquake catalogs  Project Summaryto be updated. Léonard Seydoux Projects in the same discipline

Malvasia – MAchine Learning to VAlue Single Interferometer Analysis

2021Masters Projects@Physics and Astronomy +Computer Science+Mathematics/Statistics+Physics/Astronomy #gravitational wave#deep learning  Project SummaryThe direct observation of gravitational waves (GW) by the LIGO and Virgo detectors is one of the breakthrough...

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...

Learning from deep sea light with KM3NeT

2022Strategic Projects@Physics & Astronomy +Biology+Earth Sciences/Geosciences #Neutrinos#Machine Learning#Bioluminescence#Graph Neural Networks Project SummaryNeutrinos are fundamental particles that are produced in a multitude of nuclear processes and permeate...

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