Open Software Initiative (OSI) day
→
Europe/Paris
Alexandre Gramfort
(Telecom ParisTech, CNRS),
Balázs Kégl
(LAL)
Description
Day dedicated to data science tools and engineering efforts at CDS, with presentations from funded projects, students, and invited speakers.
The event will take place in the main Auditorium of the Linear Accelerator Laboratory (LAL), building 200 on the UPSud Orsay campus. Information on getting to LAL is available here.
Webcast of the event here.
Current program:
https://docs.google.com/document/d/1W_4VOXuXg15YJTMZC7ax20SMpbBJALdh0HZA1foZIEA/edit?usp=sharing
Come back home.
Participants
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08:30
→
09:00
Welcome participants & coffee 30m
- 09:00 → 09:15
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09:15
→
12:30
Session 1
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09:15
Keynote Speech 1: Jupyter at BIDS: building the tools and the institutions for data science 1hIn 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)
- 10:15
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10:30
Coffee Break 30m
- 11:00
- 11:15
- 11:30
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12:00
LoOPS Network for developers at Paris-Saclay 15mLoOPS 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)
- 12:15
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09:15
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12:30
→
14:00
Lunch Break 1h 30m
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14:00
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17:30
Session 2
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14:00
Building a service-oriented platform for online physiological data analysis. 20mNowadays 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)
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14:20
Automation for chemical data analysis techniques 20mChemical 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
- 14:40
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15:00
Coffee Break 30m
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15:30
Mining brain imaging data: lessons learned from nilearn and joblib 20mThis 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)
- 15:50
- 16:10
- 16:25
- 16:40
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14:00
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08:30
→
09:00