====== Совещания 2017г ======

===== 2017.12.19 (Skype) =====

==== Participants ====
  * Kryukov
  * Haungs
  * Kostunin

==== Working plan for 2018 (RU part) ====

<todo>Architecture of APPDS (A.Kryukov)</todo> \\
<todo>Events sample of TUNKA for ML (E.Korosteleva)</todo> \\ 
<todo>Comparision TensorFlow and PyTourch for APP tasks</todo> \\
<todo>Data Format (on example of KASCADE and TAIGA) </todo> \\
<todo>Meta data provenance system</todo> \\
<todo>On-fly Aggregation service</todo>

==== Protocol ====

=== Arrange the mailing lists ===
  * APPDS (Andreas: German members)
  * APPDS-manager (Kryukov, Haungs, Kostunin + ?)

=== IT-infrastructure ===
  * Git
  * Redmine

=== Upcoming events ===
  * Aachen big data in astroparticle https://indico.scc.kit.edu/indico/event/344/
  * MSU meeting (March) : select the date!


=== Next steps ===
  * KCDC deployment at SINP
  * PhD students at KIT (beginning of work: April)

----


===== 2017.11.9 (Skype) =====

==== Participants ====
  * Kryukov
  * Haungs
  * Kostunin

==== Protocol ===
=== Topics ===
   - Organisational/Structural Matters
     * Agreement on monthly (skype) management meetings. Next: 19/12/2017 (after lunch)
     * A first KRAD meeting in Moscow envisaged: week of 5-9 March 2018?? (kind of kick-off meeting)
     * Establish a mailing list for the members (responsible: Kryukov; will appds@theory.sinp.msu.ru )   action: sample names for the list!
     * Create a wiki page for internal matters (action: Dima!)
     * Think about a GIT-Hub as infrastructure
     * Sample a list of possible IT/physics conferences for KRAD (action: all)
   - Discussion on first actions/work plan for 2018:
     * In Russia: At the first stage (2018) the following works are planned:
       * to prepare an analytical review of modern scientific and technical literature;
       * to formulate general criteria for the functioning of the big data analysis system for astrophysical experiments and develop a list of the basic quantitative parameters of the system;
       * to develop a data description format for the KASCADE and TAIGA experiments and search and develop a method of aggregation of these data;
       * to develop a preliminary version of the particle type identification algorithm in the TAIGA experiment based on the machine learning method;
       * to develop the architecture of a system for storing, processing and analyzing big data of astrophysical experiments;
       * to develop a research stand on the basis of the KCDC system at SINP MSU to develop the proposed methods and algorithms;
       * to deploy the HubZero platform for filling it with educational materials for the preparation of students and graduate students in the field of particle astrophysics.
       * to prepare 3 articles for publication;
       * to prepare an interim report.
     * At KIT:
       * wp1 (KCDC extension): software extension of KCDC to include Tunka-related data
       * wp2 (Big Data Science Software): Run first jobs for KCDC or Tunka on a Tier/Grid environment (i.e. concept for Docker, Container, etc…)
       * wp3 (Multi-messenger Data Analysis): find/select 2 PhDs and define appropriate physics topics.
       * wp4 (go for public): define/create concept and design for KRAD webpages 

**Action: create a coherent working plan as preparation for the December meeting**