Name: Open Software Initiative (OSI) day
Start: 2015-10-26T08:30:00+01:00
End: 2015-10-26T17:30:00+01:00
Location: No location set

- 08:30 → 09:00
  
  Welcome participants & coffee 30m
- 09:00 → 09:15
  
  Introduction 15m
  
  Orateur: Alexandre Gramfort (Telecom ParisTech, CNRS)
  
  Transparents
  
  Video
- 09:15 → 12:30
  Session 1
  - 09:15
    
    Keynote Speech 1: Jupyter at BIDS: building the tools and the institutions for data science 1h
    
    In this talk, I will discuss both the architecture and recent developments in the Jupyter project, (the multi-language platform evolved from the IPython system for interactive Python). Jupyter is a project aimed at a broad class of problems in data science, and at UC Berkeley, its development today takes place in a new kind of institutional context: the Berkeley Institute for Data Science (BIDS). I will also discuss the genesis of BIDS, and how this interdisciplinary space tries to foster a culture of collaboration, open research, and where specifically, the development of open source software for scientific research is a first-class citizen.
    
    Orateur: Fernando Perez (UC Berkeley - original author of IPython and driver of Project Jupiter)
    
    Slides
    
    Video
  - 10:15
    
    Sphinx-Gallery, Package documentation made easy 15m
    
    Orateur: Oscar Nájera (U. Paris-Sud/LPS)
    
    Slides
    
    Video
  - 10:30
    
    Coffee Break 30m
  - 11:00
    
    Py-Earth, Multivariate Adaptive Regression Splines in Python 15m
    
    Orateur: Mehdi Cherti (CNRS/LAL, AppStat)
    
    Slides
    
    Video
  - 11:15
    
    MNE from shell scripts and Unix commands to Python 15m
    
    Orateur: Lorenzo de Santis
    
    Slides
    
    Video
  - 11:30
    
    Reproducible research in Bioinformatics: Scientific Workflows, provenance and beyond 30m
    
    Orateur: Sarah Cohen-Boulakia (U. Paris-Sud/LRI)
    
    Slides
    
    Video
  - 12:00
    
    LoOPS Network for developers at Paris-Saclay 15m
    
    LoOPS is a network of scientific software developers in Higher Education and Research Institutions in the southwest of Paris. The mission of the network is to facilitate the sharing of practices, expertise and knowledge among developers in order to allow everyone to progress in its software development activity.
    
    Orateur: Karin Dassas (CNRS/IDOC)
    
    Slides
    
    Video
  - 12:15
    
    The io.datascience DaaS platform 15m
    
    Orateur: Mme Karima Rafes (LRI)
    
    Video
- 12:30 → 14:00
  
  Lunch Break 1h 30m
- 14:00 → 17:30
  Session 2
  - 14:00
    
    Building a service-oriented platform for online physiological data analysis. 20m
    
    Nowadays it is possible to online collect, classify, and process data with the proper software platforms. Along with advances in signal processing and "big data" algorithms we can use them as research facilities or even as automatic diagnostic tools. Specifically, we are building such a platform applied to physiological signals. It involves a large group of researchers in mathematics, software engineers, and neurologists in the framework of the COGNAC-C project.
    
    Orateur: Miguel Colom (ENS-Cachan/CMLA)
    
    Slides
    
    Video
  - 14:20
    
    Automation for chemical data analysis techniques 20m
    
    Chemical data acquired from different analytical techniques and disparate analytics platforms has become high volume and lacks of well organized. The raw data is formed under several different proprietary formats. All data requires to convert to a common open data formats for storage, analysis, pre-treatment and treatment. The current scientific workflows are manually done and requires a certain knowledge of programming languages. We propose a solution which can technologize the scientific workflow. Furthermore, the system enables to automate workflows with less efforts and without having manually initiate the complex configuration.
    
    Orateur: Diem Bui Thi
    
    Slides
    
    Video
  - 14:40
    
    Information Extraction Challenge for Gene Regulation Network in plant 20m
    
    Orateur: Estelle Chaix (INRA/MIG)
    
    Slides
    
    Video
  - 15:00
    
    Coffee Break 30m
  - 15:30
    
    Mining brain imaging data: lessons learned from nilearn and joblib 20m
    
    This talk will present useful patterns and lessons learned for efficient application of machine learning to data too big to fit in memory, in the context of brain imaging applications. The focus here is sharing insights gained while using and developing nilearn and joblib, as many of the lessons are not specific to brain imaging.
    
    Orateur: Loïc Estève (INRIA)
    
    Slides
    
    Video
  - 15:50
    
    A customizable framework for neurophysiology data management and provenance tracking 20m
    
    Orateur: Jonathan Duperrier (CNRS)
    
    Slides
    
    Video
  - 16:10
    
    Anomaly detection algorithms in Scikit-Learn 15m
    
    Orateur: Nicolas Goix (Telecom Paristech)
    
    Slides
    
    Video
  - 16:25
    
    Structured Prediction with Opera-Lib 15m
    
    Orateur: Romain Brault (CNRS/IBISC)
    
    Slides
    
    Video
  - 16:40
    
    Keynote Speech 2: Software and engineering efforts at NYU Center for Datascience 50m
    
    Orateur: Andreas Mueller (NYU)
    
    Slides
    
    Video