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.

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...

Machine Learning for Photometric redshift estimation of LSST galaxies

2023Masters Projects@Physics & Astronomy +Computer Science+Mathematics/Statistics #machine learning#convolutional networks#astrophysics  Project Summaryto be updated. Simona Mei Projects in the same discipline

Modeling conditioned place preference test for evaluation of addictiveness of substances: toward experimental design optimization & smart data analysis

2024 Master's Projects @Biology Project SummaryEmmanuel Curisemmanuel.curis@u-paris.fr - Statisticien at Hôpital Lariboisière- Maître de conférences biomathématiques, biostatistiques at Université Paris Cité (Faculté de pharmacie) David Tseitline Nadia...

Cosmologie – amas de galaxies – intelligence artificielle

2021 PhD/ DIAI Projects @Astronomie & AstrophysiquePhD student: Nicolas CERARDI (AIM, UPC)Supervisor: Marguerite PIERRE (AIM, UPC)  Project SummaryLa thèse a pour cadre le projet international de cosmologie XMM-XXL. Le but est de déterminer de manière indépendante...

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...

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...

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...

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

Autoimmunity/inflammation Through RNAseq Analysis at the single Cell level for Therapeutic Innovation – ATRACTion

2021Strategic Projects@Medicine +Computer Science+Biology #Single Cell#Omics#Data Integration#Primary Immune Deficiencies#Personalized Medicine  Project SummaryPrimary Immune Deficiencies (PIDs) comprise different monogenic diseases related to developmental or...

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...