Ethique et propriété : Comment garantir la reproductibilité des traces et de leurs analyses ?

14:00
Mardi
24
Mar
2015
Organisé par : 
Nadine Mandran
Information détaillée : 

 

L'objectif  du workshop est de produire un guide des bonnes pratiques par rapport aux aspects éthiques et de propriétés des données.  

Afin de pouvoir organiser la pause pouvez vous nous indiquer si vous pensez participer à ce workshop  sur le doodle  http://doodle.com/98pabzdm4s65nuv9

Invités

-      Miguel Santana, Software Development Tools Manager, STMicroelectronics,

-      Philippe de Rivarola de Knowings (en attente de confirmation)

-     Anne Marie Benoit, juriste, laboratoire PACTE, Grenoble.

-     Nathalie Argoud, Service Valorisation  du CNRS

 

Programme prévisionnel

-       Introduction :

  •    Arnaud Legrand  :  "Reproductibilité  des traces et des analyses"

-       Présentation de quatre  chercheur 

  •    Sonia Chardonnel (Pacte)  => Traces de suivi sur les GPS
  •    Vanda Luengo  (LIG)=>  Traces du projet Teleos
  •    Vania  Maragonzova (LIG) => SOC traces
  •    Jean Marc Vincent (LIG) => Traces système de grands volumes


Les présentations des chercheurs seront orientées autour des questions qu'ils se posent sur l'éthique et la propriété des traces. Les exposés dureront 10 minutes.  A l'issue de chaque présentation,  les invités réagiront aux problèmes soulevés et nous apporterons leur éclairage. 

-       Temps éventuel pour des démos.

-       Pause

-       Table Ronde : Synthèse et élaboration du guide

Résumé : 

Reproducibility of experiments and analysis by others is one of the pillars of modern science.

 

Yet, the description of experimental protocols (particularly in computer science articles) is often lacunar and rarely allows to reproduce a study. Such inaccuracies may not have been too problematic 20 years ago when hardware and operating systems were not too complex. However nowadays are made of a huge number of heterogeneous components and rely on an software stack (OS, compiler, libraries, virtual machines, …) that are so complex that they cannot be perfectly controlled anymore. As a consequence some observations have become more and more difficult to reproduce and to explain by other researchers and even sometimes by the original researchers themselves.

In the last decade there has been an increasing number of article withdrawal even in prestigious journals and the realization by both the scientific community and the general public that many research results and studies were actually flawed and wrong.

 Open science is the umbrella term of the movement to make scientific research, data and dissemination accessible to all levels of an inquiring society. In particular, it encompasses practices such as the use of open laboratory notebooks and reproducible research, which refers to the idea that the ultimate product of academic research is the paper along with the full computational environment used to produce the results in the paper such as the code, data, etc. that can be used to reproduce the results and create new work based on the research.

 In this talk, I will sensibilize the audience to the experiment and analysis reproducibility issue in particular in computer science.