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Based on existing experience in creating, hosting and advertising plant science data challenges, thus data science problems and according benchmark data, we aim on connecting working groups who are interested to follow this concept and in the long term to organize a joint workshop and publication on 'Juelich Problems'.
Next Meeting
Monday, 4. May 2020 2pm
Meeting room: https://webconf.fz-juelich.de/b/wen-fxk-x64
Past Meetings
Relevant Links
- Data sample for possible challenges: https://fz-juelich.sciebo.de/apps/files/?dir=/JuelichProblems/DataChallenges&fileid=473241527
Whitepaper on Jülich Challenges
JÜLICH CHALLENGES
Whitepaper
Data Science Challenges at Forschungszentrum Jülich
Hanno Scharr (IBG-2), Susanne Wenzel (INM-1), Katharina Nöh (IBG-1), Christian Sachs (IBG-1),
Guillaume Lobet (IBG-3), Susanne Weis (INM-7), Michael Hanke (INM-7), Daniel E. Mack (IEK-1), Olivier
Guillon (IEK-1), Robert Vaßen (IEK-1)
Supported by Sven Rank (UE)
19.12.2019
read the paper
Workshop establishing challenge datasets 'Juelich Problems'
- When: Thursday, 8 November 2018, 10:00-12:00h
- Where: IBG-2 seminar room (building 06.2, room 406)
Scope
Over the last few years we had excellent experiences with publishing datasets to draw the interest of the computer vision and machine learning community to our applications (see datasets-impact). This not only led to increased visibility (>1600 downloads, >140 citations), but most importantly to highly increased accuracy of available solutions to our image analysis problems – because others worked on them ‘for free’.
With this workshop, we want to
- Share our experiences, including dos and don’ts
- Give advice and discuss how to promote our Juelich application problems successfully (offer image data together with ground truth, organize challenges and workshops, publish overview papers and problem statement papers as well as websites, follow F.A.I.R. principles etc.)
- Find people (you?) interested in publishing their data in a similar way to tap its full potential
- Join forces and discuss further steps
Slides and Minutes
All documents [zip]
Intro
- Intro Slides
- Hanno Scharr (IBG-1)
Sharing the right data right
Spotlight Talks
- Christian Sachs (IBG-1)
Bacterial microcolonies datasets - Guillaume Lobet (IBG-3)
Data to share root system data - Susanne Weis (INM-7)
1000 Brains study dataset - Michael Denker (INM-6/IAS-6)
Building the right workflow from the start facilitates publishing of neuroscience data - Jens Henrik Göbbert (JSC, IAS)
Integration of Jupyter as a service to users of the HPC systems
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