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.

Transcriptomic Analysis using Intensive Randomization

2022Masters Projects@Computer Science +Mathematics/Statistics+Biology #Big data#RNA-seq#computational optimization#GPU parallelization#differential analysis Project SummaryNext-generation sequencing such as RNA-seq aims to quantify the transcriptome of biological...

Language-Independent Massive Network Attitudinal Embedding

2022Strategic Projects@Computer Science +Political Science #network embedding#sparse embedding ideological scaling#attitudinal data#ideologies#polarization#party systems  Project SummaryPublic opinion on different issues of public debate is traditionally studied...

Design principles of property graph languages

2021 PhD/ DIAI Projects @ED 386 : Sciences Mathématiques de Paris CentrePhD studentAlexandra ROGOVA (IRIF, DI ENS)   SupervisorsAmélie GHEERBRANT (IRIF, UPC),Leonid LIBKIN (Laboratory for Foundations of Computer Science, University of Edinburgh)  Project...

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...

Quantifying the interaction between grammatical gender and social gender roles at a worldwide scale

2024 Strategic Projects@Linguistics #grammatical gender#social gender#morphology#sociolinguistics#quantitative linguistics  Project Summary Gender relationships are changing and the gender disparity of today is questioned in many societies. It is important to...

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...

Exploring the similarities of a large bank of protein pockets in a perspective of multiple protein-ligand interactions prediction

2024 Master's Projects@Biology #Drug design in silico#Protein pocket mining#Ppocket druggability prediction  Project Summary With the growing availability of data in the field of drug discovery, AI methods are promising for guiding and accelerating the search process...

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)...

“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...

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...