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2nd Action Plan ErUM-Data Community Meeting

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Andreas Haungs (CMS (CMS-Experiment)), Bridget Murphy (Kiel University), Christian Gutt (Universität Siegen), Erik Bruendermann (KIT), Kilian Schwarz (GSI), Markus Schumacher (Albert-Ludwigs-Universität Freiburg), Martin Erdmann (RWTH Aachen University)
Description

From Big Data to Smart Data: Digitalisation in basic scientific research

Welcome

The BMBF has published the action plan ErUM-Data - from Big Data to Smart Data in November 2020. 

Following the first Action Plan ErUM-Data Community Meeting on January, 18th-19th, 2021 (link) we held the cross-community 2nd Action Plan ErUM-Data Community Meeting in response to the call for proposals in ErUM-Data. For further information see PT-DESY (link, also note/review the documents of the information event on June 24th, 2021, link). 

To facilitate match-up of cross-community teams with common interests for the ErUM-Data Community we created the long-term indico-site ErUM-Data Community Information Exchange (link) collecting researcher's interests, the above links and general information.

For this meeting here, please create an indico-account, if you do not have one, log-in, register and visit the detailed and short-version/convener timetable for the schedule.

Thank you for your participation.

If you would like more information, you are welcome to contact the chairs/organizers via their email-addresses encoded in the names below. Those are visible once you have created an indico-account for yourself and logged-in.
 

Image copyright CERN/Thomas Mc Cauely

Registration
Your registration to the 2nd Action Plan ErUM-Data Community Meeting
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Participants
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    • Opening: Welcome
      Convener: Martin Erdmann (RWTH Aachen University)
      Introduction-20210701.pdf
    • Session 1: Neural Networks & Data Symmetries
      Conveners: Bridget Murphy (Kiel University), Erik Bründermann (KIT)
      • 2
        Convolutional Neural Networks
        Speaker: Stefan Funk (ECAP)
        Funk_ErUM_CNNs_2021.pdf
      • 3
        Recurrent Neural Networks
        Speaker: Uwe Klemradt (RWTH Aachen University)
        RNN_Klemradt.pdf
      • 4
        Graph Neural Networks
        Speaker: Andreas Salzburger (CERN)
        2021-07-02-Tracking-with-GNNs.pdf
      • 5
        Discussion - Convolutional NN - Breakout Room
        Speaker: Stefan Funk (ECAP)
      • 6
        Discussion - Graph NN - Breakout Room
        Speaker: Andreas Salzburger (CERN)
      • 7
        Discussion - Recurrent NN - Breakout Room
        Speaker: Uwe Klemradt (RWTH Aachen University)
    • 09:40
      Plenary - Coffee Break
    • Session 2: Autonomous Model Building
      Conveners: Tobias Richter (European Spallation Source ERIC), Kilian Schwarz (GSI)
      • 8
        Adversarial Neural Networks
        Speaker: Thomas Kuhr (BELLE (BELLE II Experiment))
        ErumDataCommunityANN0721.pdf
      • 9
        Outlier & Anomaly Detection Neural Networks
        Speaker: Gregor Kasieczka (Institut fuer Experimentalphysik / UHH)
        DeepLearning_ED_Community_Anomaly_Kasieczka.pdf
      • 10
        Invertible Neural Networks
        Speaker: Anja Butter (ITP Heidelberg)
        erum.pdf
      • 11
        Discussion - Adversarial NN - Breakout Room
        Speaker: Thomas Kuhr (BELLE (BELLE II Experiment))
      • 12
        Discussion - Invertible NN - Breakout Room
        Speaker: Anja Butter (ITP Heidelberg)
      • 13
        Discussion - Outlier & Anomaly Detection NN - Breakout Room
        Speaker: Gregor Kasieczka (Institut fuer Experimentalphysik / UHH)
    • 11:00
      Plenary - Coffee Break
    • Session 3: Analytics – Objectives - Uncertainties
      Conveners: Marcus Brüggen (UHH), Tim Ruhe (TU Dortmund)
      • 14
        Introspection Neural Networks
        Speaker: Jonas Glombitza (RWTH AACHEN UNIVERSITY)
        ErUM_interpretability.pdf
      • 15
        Reinforcement Learning
        Speaker: Erik Bründermann (KIT)
        2021-07-01_Reinforcement_Learning_KIT_Bruendermann_Santamaria_Xu_Bruchon.pdf
      • 16
        Information Field Theory
        Speaker: Torsten Ensslin (MPA)
        IFT_pdf.pdf
      • 17
        Discussion - Information Field Theory - Breakout Room
        Speaker: Torsten Ensslin (MPA)
      • 18
        Discussion - Introspection NN - Breakout Room
        Speaker: Jonas Glombitza (RWTH AACHEN UNIVERSITY)
      • 19
        Discussion - Reinforcement Learning - Breakout Room
        Speakers: Andrea Santamaria (KIT), Erik Bründermann (KIT)
    • 12:30
      Lunch Break
    • Session 4: Mathematics & Industry
      Conveners: Christian Gutt (Universität Siegen), Judith Reindl
      • 20
        Mathematics - KoMSO
        Speaker: Peter Maass (ZeTeM, University of Bremen)
      • 21
        Science and Industry 1
        Speaker: Manuel Molina Vogelsang (Fraunhofer IMW)
      • 22
        Science and Industry 2
        Speaker: Karl Trela (Fraunhofer IMW)
      • 23
        Discussion - Education - Breakout Room
        Speaker: Andreas Haungs (Karlsruhe Institute of Technology - KIT)
      • 24
        Discussion - Mathematics - Breakout Room
      • 25
        Discussion - Object Identification - Breakout Room
        Speaker: Judith Reindl
      • 26
        Discussion - Science and Industry - Breakout Room

        Moderators: Manuel Molina Vogelsang, Dr. Karl Trela
        Fraunhofer-Zentrum für Internationales Management und Wissensökonomie IMW, Leipzig

        https://www.imw.fraunhofer.de/de/forschung/innovationspolitik/team/manuel-molina-vogelsang.html
        https://www.imw.fraunhofer.de/de/forschung/innovationspolitik/team/Karl_Trela.html

        Speaker: Manuel Molina Vogelsang , Dr. Karl Trela
    • Discussion: Conclusions of the day
      Conveners: Andreas Haungs (CMS (CMS-Experiment)), Bridget Murphy (Kiel University)
      • 27
        Discussion / Conclusions of the day
        Speakers: Andreas Haungs (CMS (CMS-Experiment)), Bridget Murphy (Kiel University)
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