ESCAPE Data Science School 2022

Europe/Paris
Auditorium (LAPP)

Auditorium

LAPP

9 chemin de Bellevue, Annecy
Description

Registrations: 
Registrations to the school are open from May 2nd to May 23st on a first arrived, first served basis with 51 seats for external participantsNote that this year's edition is on-site (LAPP,  Annecy, France) only and won't be broadcasted live. Registration fees do not include travel costs. 

More information regarding the school organization will be sent to participants after the registration deadline.

School Program: the program of the school is devoted to project development for astrophysics, astroparticle physics & particle physics. The aim of the school is to provide theoretical and hands-on training on Data Science and Python development:

  • Coding environment and good code practices
  • Version control and collaborative development
  • Debugging and profiling
  • Python packaging
  • Scientific libraries for data science and analysis
  • Machine learning

The school is held as a continuation of the Asterics/Obelics summer school and the ESCAPE Data Science school first edition.

Course duration: From June 19 to June 24 2022

Organisation: All necessary information will be sent to participants after the registration deadline

Communication: a slack community for the school is available for communication between participants, to ask questions to tutors, to get out, etc.

School venue: LAPP, Annecy, France

Accommodation Arrangements:  All participants will be accommodated at the Centre Jean XXIII, at a walking distance from LAPP.

School Fees: See the registration page

Requirements: The school is open to all. However, basic knowledge of Python is required.

Previous editions of the school: ASTERICS 1st, 2nd, 3rd, ESCAPE 1st

Testimonies from students and tutors from second edition:

 

 

 

Who is organizing this school: LAPP is the organizing this school in association with ESCAPE partners, PRACE. This international school is being organized in the framework of ESCAPE.

What is ESCAPE: European Science Cluster of Astronomy & Particle physics ESFRI research infrastructures (ESCAPE) aims to address the Open Science challenges shared by ESFRI facilities (CTA, ELT, EST, FAIR, HL-LHC, KM3Net, SKA) as well as other pan-European research infrastructures (CERN, ESO, JIVE, EGO) in astronomy and particle physics. (https://projectescape.eu)           

For more information visit https://www.projectescape.eu/about-us

ESCAPE partners: 31 European organisations with wealth expertise and experience on astronomy, astroparticle and particle physics, three fields contributing heavily to the final designs of the ESFRI projects.

These partners are committed to contribute to the construction of the data research open environment, which is represented by EOSC, and promote the application of FAIR principles for data stewardship. All partners help bringing together and engage a wide range of ESCAPE stakeholders.

More info: https://www.projectescape.eu/partners

About LAPP : Created in 1976, the LAPP is one of the 19 laboratories of the National Institute of Nuclear and Particle Physics (IN2P3). LAPP has about 150 researchers, professor, researchers, engineers, technicians, administrators, students and foreign visitors. The research carried out at the LAPP aims to study the physics of elementary particles and their fundamental interactions, as well as the exploration of the connections between the infinitely small and the infinitely large. LAPP is involved in LHC experiments with CERN (ATLAS, LHCb), neutrinos (STEREO,SuperNemo, Dune), astrophysics (HESS, CTA, AMS,LSST), Future colliders (ILC, CLIC) and gravitational waves (Virgo).

LAPP Website http://lapp.in2p3.fr/

LAPP Presentation video ( in English): https://youtu.be/Sk-xzDEiy7Q

LAPP Presentation video ( in French):  https://youtu.be/uPSXV4rAYPw

 
 
    • 16:00
      Registration at Jean XXIII centre
    • School registration and welcome Auditorium

      Auditorium

      LAPP

      9 chemin de Bellevue, Annecy
    • 1
      Welcome address
      Orateurs: Dr Giovanni LAMANNA (LAPP - IN2P3/CNRS), Dr Thomas Vuillaume (LAPP, CNRS)
    • 2
      School organisation
      Orateur: Dr Thomas Vuillaume (LAPP, CNRS)
    • 10:30
      Coffee break
    • Coding environment: Reproducible science
      Président de session: Rachael Ainsworth
      • 3
        Reproducible science

        Making research results more accessible and reproducible can contribute to better and more efficient science, however widespread adoption of open research practices has not yet been achieved. Funding agencies (such as the European Commission Horizon 2020) are increasingly requiring research products (such as data, code and publications) to be made openly available in order to make results more accessible, transparent and reproducible. Recent studies have also shown that open research practices are associated with benefits to the researcher such as increases in citations, media attention, potential collaborators, job and funding opportunities. In this talk I will discuss the different aspects of Open Science, the barriers we face to practicing openly, how to "open" up your research workflow using open and transparent data and software services in order to reap the benefits associated with open research practices.

        Orateur: Rachael Ainsworth
    • 12:30
      Lunch break
    • Coding environment: school environment & Jupyter Notebooks
      Président de session: Enrique Garcia Garcia (LAPP, CNRS)
    • 6
      Python libraries: overview Auditorium

      Auditorium

      LAPP

      9 chemin de Bellevue, Annecy
      Orateur: Tamas Gal (ECAP / FAU)
    • 17:00
      Welcome cocktail & Eutopia visit Auditorium

      Auditorium

      LAPP

      9 chemin de Bellevue, Annecy
    • Coding environment: Git
      Président de session: Maximilian Nöthe (TU Dortmund)
    • 10:30
      Coffee break
    • Coding environment: Git, GitHub and Continuous Development
      Président de session: Maximilian Nöthe (TU Dortmund)
    • 12:30
      Lunch break
    • 7
      Numpy Auditorium

      Auditorium

      LAPP

      9 chemin de Bellevue, Annecy
      Orateur: Tamas Gal (ECAP / FAU)
    • 15:30
      Coffee break Auditorium

      Auditorium

      LAPP

      9 chemin de Bellevue, Annecy
    • 16:00
      Free time Auditorium

      Auditorium

      LAPP

      9 chemin de Bellevue, Annecy
    • 19:30
      Fête de la musique
    • 8
      Matplotlib Auditorium

      Auditorium

      LAPP

      9 chemin de Bellevue, Annecy
      Orateur: Tamas Gal (ECAP / FAU)
    • 10:30
      Coffee break
    • 9
      Pandas Auditorium

      Auditorium

      LAPP

      9 chemin de Bellevue, Annecy
      Orateur: Tamas Gal (ECAP / FAU)
    • 12:30
      Lunch break
    • 10
      Scipy Auditorium

      Auditorium

      LAPP

      9 chemin de Bellevue, Annecy
      Orateur: Léa Jouvin (CEA)
    • 15:30
      Coffee break Auditorium

      Auditorium

      LAPP

      9 chemin de Bellevue, Annecy
    • 11
      Astropy Auditorium

      Auditorium

      LAPP

      9 chemin de Bellevue, Annecy
      Orateur: Léa Jouvin (CEA)
    • 12
      Introduction to Julia Auditorium

      Auditorium

      LAPP

      9 chemin de Bellevue, Annecy

      Julia is a programming language designed for high-performance numerical analysis

      Orateur: Tamas Gal (ECAP / FAU)
    • 20:00
      Social diner 🛥🌄

      🛥🌄

      At 20:00 (don't be late!) at the Libellule restaurant-boat, Quai Napoléon III, 74000 Annecy.
      https://g.page/libellule-annecy?share

    • 13
      Test driven devs & pytest Auditorium

      Auditorium

      LAPP

      9 chemin de Bellevue, Annecy
      Orateur: Maximilian Nöthe (TU Dortmund)
    • 10:30
      Coffee break
    • 14
      Debugging & Profiling Auditorium

      Auditorium

      LAPP

      9 chemin de Bellevue, Annecy
      Orateur: Karl KOSACK (CEA Saclay)
    • 12:30
      Lunch break
    • Machine Learning
      Président de session: Martino Sorbaro
    • 15:30
      Coffee break
    • Machine Learning
      Président de session: Martino Sorbaro
    • Machine Learning
      Président de session: Michaël Dell'aiera
    • 10:30
      Coffee break
    • Machine Learning: Deep Learning
      Président de session: Mikaël Jacquemont
    • 12:30
      Lunch break
    • Machine Learning: Deep Learning
      Président de session: Mikaël Jacquemont
    • 15
      Farewell Auditorium

      Auditorium

      LAPP

      9 chemin de Bellevue, Annecy
      Orateur: Dr Thomas Vuillaume (LAPP, CNRS)