Tuesday, December 27, 2016

Slides: Annual Paris-Saclay Center for Data Science Pitching Day

Here is an interesting initiative: Data Science for Science. During a discussion, Balazs reminded me of the very interesting Annual CDS Pitching Day that occured last month. It was a "meeting... to officially launch the Paris-Saclay Center for Data Science 2.0." The CDS ".. gather(s) data providers and data analysts around the common theme of Data Science. There will be five introductory talks presenting the tools and platforms built by the CDS, and 13 talks given by members of the CDS, covering a wide spectrum of topics on both domain sciences and data science. The aim is to draw an overall picture about the demand for CDS tools and expertise in Saclay and to help PIs building their projects.  "
 
9 novembre 2016
  • 08:30 - 09:30 Welcome coffee
  • 09:30 - 10:45 CDS tools and platforms
    Responsable: Dr. Sarah COHEN-BOULAKIA (Laboratoire de Recherche en Informatique)
    • 09:30 Introduction 15'
      Intervenant: Balázs Kégl (LAL)
      Documents: Slides pdf file
    • 09:45 RAMPs and Data Challenges 15'
      Intervenant: Balázs Kégl (LAL)
      Documents: Slides pdf file
    • 10:00 The linked data platform 15'
      Intervenant: Mrs. Karima Rafes (LRI)
      Documents: Slides pdf file more information link
    • 10:15 The open software initiative 15'
      Intervenant: Alexandre Gramfort (Telecom ParisTech, CNRS)
      Documents: Slides pdf file
    • 10:30 Ultrawalls and interactive visualization 15'
      Intervenant: Emmanuel Pietriga (INRIA)
      Documents: Slides pdf file summary pdf file
  • 10:45 - 11:15 Coffee break
  • 11:15 - 13:05 Life sciences
    Responsable: Alexandre Gramfort (Telecom ParisTech, CNRS)
    • 11:15 Apprentissage automatique pour une aide au codage PMSI 22'
      Intervenant: Namik Taright (APHP)
      Documents: Slides pdf file summary pdf file
    • 11:37 Managing and analyzing analytical chemistry data sets 22'
      Intervenant: Ali Tfayli (LIPSYS / UPSud)
      Documents: Slides pdf file summary pdf file
    • 11:59 Secure cytotoxic administration by non-invasive spectroscopy 22'
      Intervenant: Laetitia Le (LIPSYS / UPSud)
      Documents: Slides link summary pdf file
    • 12:21 Efficiently Ranking big biological and biomedical data sets using rank aggregation techniques 22'
      Intervenant: Dr. Sarah COHEN-BOULAKIA (Laboratoire de Recherche en Informatique)
      Documents: Slides pdf file summary pdf file
    • 12:43 Reconstructing the past: deep learning for population genetics 22'
      Intervenant: Guillaume Charpiat (TAO Team/ INRIA)
      Documents: Transparents pdf file summary pdf file
  • 13:05 - 14:05 Lunch
  • 14:05 - 15:35 Tools and social sciences
    Responsable: Dr. Gael Varoquaux (INRIA)
    • 14:05 Causal discovery for CDS practitioners 22'
      Intervenant: Ms. Isabelle Guyon (UPSud / INRIA / ChaLearn)
      Documents: Slides powerpoint file summary pdf file
    • 14:27 Multi-level data fusion 22'
      Intervenant: Dr. Kaouthar Benameur (ONERA)
      Documents: Slides powerpoint file summary pdf file
    • 14:49 Global scientific positioning system for CDS 22'
      Intervenant: Philippe Caillou (LRI / UPSud)
      Documents: Slides pdf file summary pdf file
    • 15:11 Heterogeneous social data management and mining 22'
      Intervenant: Nacéra Bennacer (LRI)
      Documents: Paper pdf file Slides link summary pdf file
  • 15:35 - 16:05 Coffee break
  • 16:05 - 17:35 Physical sciences
    Responsable: Ms. Isabelle Guyon (UPSud / INRIA / ChaLearn)
    • 16:05 A platform for decoding and recoding turbulence 22'
      Intervenant: Dr. Bérengère Podvin (CNRS)
      Documents: Slides pdf file summary pdf file
    • 16:27 A framework for sensor data management and analysis 22'
      Intervenant: Karine Zeitouni (DAVID / UVSQ)
      Documents: Slides pdf file summary pdf file
    • 16:49 Generic stereoscopic tools for planetary topography 22'
      Intervenant: Mr. Frédéric Schmidt (GEOPS / UPSud)
      Documents: Slides pdf file summary pdf file
    • 17:11 Tracking machine learning challenge 22'
      Intervenant: Dr. David Rousseau (ATLAS)
      Documents: Transparents pdf file summary pdf file
 
 
 
 
 
 
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