Events

Events

Event-Programm 2024

Auch im Jahr 2024 veranstaltet der ErUM-Data-Hub in Zusammenarbeit mit DIG-UM spannende Workshops und Schulen. Die Veranstaltungen richten sich an Teilnehmer:innen aus allen ErUM-Communities und werden an unterschiedlichen Standorten in Deutschland gehalten.

Das Jahresprogramm 2024 enthält bisher zwei Deep Learning Schulen, zwei Deep Learning Train-the-Trainer Workshops sowie eine Fast and Efficient Python Computing School. Hinzu kommen werden weitere Veranstaltungen, die in Kürze an dieser Stelle bekannt gegeben werden.


Registration and Announcement

Registration for the workshops and schools will be done through Indico Events. The links to the events will be announced here. We look forward to active participation from all ErUM communities. Feel free to distribute the event poster.  

Upcoming ErUM-Data-Hub Events

2024

Active Training Course

The Active Training Course „Advanced Deep Learning“ is hosted over 4 days at (location tba) by the community organization DIG-UM with support from the BMBF-funded ErUM-Data-Hub. The event serves the professional education of young scientists belonging to the ErUM Community.

The intensive course on Graph Neural Networks, Transformers, Normalizing Flows and Autoencoders will be held from 21.05.24 – 24.05.24. The course includes a challenge to be worked out and presented by
participant subgroups. The workshop is aimed at deep-learning enthusiasts from all ErUM communities (Research on Universe and Matter) who have prior knowledge of neural networks and applied basic concepts of deep learning.

Die Schule findet als Präsenzveranstaltung statt und ist auf 50 Teilnehmer:innen begrenzt. Die Teilnahmegebühr beinhaltet Unterkunft und volle Verpflegung. Anmeldungen sind ab sofort möglich.

The aim of this event is to provide a networking opportunity for likeminded ErUM-Data scientists and the possibility to discuss similar proposal ideas for the upcoming ErUM-Data Call.

Dieses Event findet als Präsenzveranstaltung statt.

This Pitch & Discussion Workshop on Sustainability in the Digital Transformation of Basic Research on Universe & Matter serves 

 

  • the general and informal exchange on sustainability topics and activities in ErUM-Data and 
  • the reunion of the participants of the „Sustainability in the Digital Transformation of Basic Research on Universe & Matter“ workshop (https://indico.desy.de/event/37480/), which took place from 30.5. – 2.6.2023 in Meinerzhagen

Dieses Event findet über Zoom statt.

This is a School organized by the ErUM-Data-Hub with support from DIG-UM.

In this school you will learn how Python code can be accelerated. A focus will be placed on numeric NumPy-like array computations. In addition, running these array computations on hardware accelerators, i.e., GPUs, will play a key role in this school.

The school is intended for young researchers – especially for PhD students – who regularly work with the scientific Python ecosystem. Requirements are good knowledge of the scientific Python ecosystem, basics of the C++ programming language are beneficial.

Die Schule findet als Präsenzveranstaltung statt und ist auf 50 Teilnehmer:innen begrenzt. Die Teilnahmegebühr beinhaltet Unterkunft und volle Verpflegung. Anmeldungen sind ab sofort möglich.

 Developer’s Workshop PyHEP.dev 2024 will be a forum for the participants and the community to discuss developments of Python packages and tools, exchange experiences and inform the future evolution of community activities. 

Der Workshop findet als Präsenzveranstaltung statt. Details zur Anmeldung werden in Kürze hier bekannt gegeben.

In this workshop you will learn all steps to package, puublish, document and test your python package. For this, you are encouraged to bring your own software package. 

Der Workshop findet als Präsenzveranstaltung statt. Details zur Anmeldung werden in Kürze hier bekannt gegeben.

More ErUM-Events

Finden Sie hier künftige spannende ErUM-Events.

April 2024

Physics at the Terascale - Terascale Statistics School in Hamburg

The Terascale "Statistics School" (2-5 April) is an intermediate level course on statistical methods in particle physics mainly targeting PhD students with some prior experience in statistical data analysis but it is open to other interested students and post-docs. The school covers key analysis tasks in theory and practice as well as going deep with lectures into some specific areas of high relevance. Below is the preliminary agenda that may be still subject to some modifications.

Machine Learning Conference (Garching)

From April 8 to 10, 2024 the Heinz Maier-Leibnitz Zentrum (MLZ) located in Garching near Munich will host the Machine Learning Conference for X-Ray and Neutron-Based Experiments. The application of machine learning (ML) tools for data generated at photon and neutron (PaN) large scale facilities offers new opportunities and challenges. This conference will gather experts from the field of machine learning as well as specialists for the application of neutron and photon beams to discuss their latest research.

Workshop: FAIR Data Principles in Physical Sciences in NFDI

Next workshop on use cases in the NFDI, presented by Physical Sciences in NFDI (PSinNFDI)

While different disciplines experience different challenges in establishing the FAIR principles for research data, there are also many similar approaches and solutions. In this workshop, we will present examples of use cases highlighting those common concepts, tools, and software that exploit workflows to achieve FAIR data across scientific disciplines. FAIR data does not start in a repository, but needs to be established already during the data generation within a research process. Hence, we invite you to join us in exploring tools and approaches to create FAIR workflows with fascinating use cases from:

  • PUNCH4NFDI: Curating Data Flows: Leveraging REANA for Reproducible Analyses of Dimensionality Reduction Workflows
  • NFDI-MatWerk: Creating and running automated workflows for material science simulations
  • DAPHNE4NFDI: Overarching Data Management Ecosystem HELIPORT

Mai 2024

ICFA: Instrumentation Awards 2024 (Elba)

ICFA ( May 26 - June 1) is pleased to announce the call for the 2024 ICFA Instrumentation Awards. These Awards are bestowed annually to recognise exceptional contributions to instrumentation that has advanced the field of particle physics.

Juli/August 2024

Hadron Collider Physics Summer School - HASCO

The school (July 28 – Aug 5) is aimed at the master students, early PhD students and advanced bachelor students, with the primary goal to provide a focused introduction to hadron collider physics, statistical data analysis and an introduction to the software package ROOT. In addition, tutorials on theoretical foundations of the Standard Model of elementary particle physics and experimental techniques to test it, will be provided.

Weitere ErUM-Infos

Find more exciting networking and education opportunities within ErUM Communities here.

PUNCH4NFDI

In this section, we collect events and presentations pertaining to PUNCH4NFDI and the NFDI, and we link presentations that were given by PUNCH4NFDI members.

DAPHNE4NFDI

Auf der DAPHNE4NFDI Veranstaltungs-Seite finden Sie eine umfassende Sammlung bevorstehender Konferenzen Tagungen, Workshops und Schulen.

Physics at the Terascale - Schools and Workshops

The Helmholtz Alliance “Physics at the Terascale” bundles German activities in the field of high-energy collider physics. It is a network comprising all German research institutes working on LHC experiments, a future linear collider or the related phenomenology - 18 universities, two Helmholtz Centres and one Max Planck Institute. One of the Alliance activities is to organise a series of schools and workshops.

Past Events

Past Events

Past Events 2024

The Deep Learning School „Basic Concepts“ was hosted by the community organization DIG-UM with support from the BMBF-funded ErUM-Data-Hub. The event served the professional education of young scientists belonging to the ErUM Community.

In February 2024, we hosted for the fourth time the Deep Learning School at Hotel zur Post, Wiehl. In a comfortable ambience, intensive classes on Neural Network Building Blocks, Mastering Model Building and Convolutional Neural Networks were held over 4 days. On the fifth day, there was be a Career & Soft Skill Workshop.

This was a ‚Generative Models‘ Workshop organized by the Big Data Analytics Topic Group of DIG-UM with support from the ErUM-Data-Hub. Aim of this workshop was to have a lively and open scientific exchange on new developments on generative models for ErUM research. This workshop was addressed to scientists from all ErUM communities who have been or are currently working on new generative models.

This was the annual Big Data Analytics Topic Group meeting organized by DIG-UM with support from the ErUM-Data-Hub. The aim of this meeting was for all members of the BDA Topic Group, and escpecially participants from the Projects in the Verbundforschung Software&Algorithmen of ErUM-Data, to meet up, discuss recent results, new ideas and possible future efforts.

Following the success of the first workshop last year in Paris, we were glad to announce the 2nd International Particle Minibeam Therapy Workshop. There were experts from all related disciplines (physics, biology, clinics etc.) offering more stimulating and comprehensive discussions. In the workshop, plenty of people involved in the minibeam research community gave interesting talks, while also young researchers had the chance to present their work and gott beneficial feedback from experienced researchers.

The topics covered in this workshop were:

  • Technologies of Particle Minibeam production and application
  • Dosimetry of Particle Minibeams
  • Biological mechanisms of the effect of Particle Minibeams
  • Pre-clinical studies on Particle Minibeam Therapy
  • Medical applications

This was the fifth Deep Learning Train-the-Trainer Workshop organized by the ErUM-Data-Hub with the support of DIG-UM.

Aim of this workshop was to educate lecturers for future teaching activities and to provide material to give lecture series on deep learning, including hands-on-exercises. Covered topics were Neural Network Building Blocks & Mastering Model Building, Convolutional Neural Networks & Graph Convolutions and Generative Models. 

This workshop was addressed to scientists from all ErUM communities with prior knowledge of neural networks with an academic level of postdoc or higher. 

This part of the workshop was supported by DIG-UM (Digital Transformation in the Research of Universe and Matter) and the ErUM-Data-Hub. For further information see https://erumdatahub.de/en/dig-um/.

The workshop was organized in hybrid format. Participation on-site and participation remote by video were available. However, we encouraged participants to consider to come to Giessen and a number of key speakers confirmed attendance in person. 

We are aiming in enlarging the network of collaboration and the interdisciplinarity of the field. We therefore especially invited people from other ErUM communities to join the workshop. While a number of key presentations covered approaches and results from particle, hadron and nuclear physics, we explicitely welcomed contributions from method scientists as well as adjacent scientific fields. 

 

Past Events 2023

Event-Programme 2023

Im Jahr 2023 veranstaltete der ErUM-Data-Hub in Zusammenarbeit mit DIG-UM spannende Workshops und Schulen. Die Veranstaltungen richteten sich an Teilnehmer:innen aus allen ErUM-Communities und wurden an unterschiedlichen Standorten in Deutschland gehalten. 

Das Jahresprogramm 2023 enthielt drei Deep Learning Schulen, zwei Deep Learning Train-the-Trainer Workshops und Workshops zu Big Data Analytics, Sustainability in ErUM-Data, Research Data Management und Next Generation Environment for Interoperable Data Analysis. 

Deep Learning Basics

Train-the-Trainer Workshop

Am 7. und 8. Februar 2023 veranstalten der ErUM-Data-Hub und DIG-UM erneut den Deep Learning Basics Train-the-Trainer Workshop. Veranstaltungsort im Jahr 2023 war München.

Big Data Analytics

Connection Workshop

Am 23. und 24. Februar 2023 veranstalteten der ErUM-Data-Hub und DIG-UM einen Connection Workshop zum Thema Big Data Analytics auf dem DESY Campus in Hamburg. Ziel war es, Synergien zwischen den geförderten Projekten (und anderen Aktivitäten, wie den NFDI-Konsortien DAPHNE und PUNCH) zu finden und zu erörtern, wie Projekte, die in dieser Runde nicht gefördert wurden, dennoch realisiert werden können.

Deep Learning School

Basic Concepts

Vom 27. Februar bis zum 2. März 2023 veranstalteten der ErUM-Data-Hub und DIG-UM zum zweiten Mal die Deep Learning Schule Basic Concepts. 

Lesen Sie here den Rückblick zu der ersten Deep Learning Schule im August 2022.

Research Data Management

Expert Workshop

Im März 2023 veranstalteten der ErUM-Data-Hub und DIG-UM einen Expert Workshop zum Thema Research Data Management in Bonn. 

Next Generation Environment for Interoperable Data Analysis

Expert Workshop

Im März 2023 veranstalteten der ErUM-Data-Hub und DIG-UM einen Expert Workshop zum Thema Next Generation Environment for Interoperable Data Analysis in Berlin. 

Sustainability in the Digital Transformation of Basic Research on Universe & Matter

Expert Workshop

Vom 30. Mai bis zum 02. Juni 2023 veranstalteten der ErUM-Data-Hub und DIG-UM einen Experten Workshop zum Thema Sustainability in ErUM-Data.

 

Advanced Deep Learning

Train-the-Trainer

Am 19. und 20. Juni 2023 veranstalteten der ErUM-Data-Hub und DIG-UM den zweiten Advanced Deep Learning Train-the-Trainer Workshop.

Basic Concepts

Vom 07. bis zum 10. August 2023 veranstalteten der ErUM-Data-Hub und DIG-UM erneut die Deep Learning Schule Basic Concepts. 

Active Training Course

Vom 25. bis zum 28. September 2023 veranstalteten der ErUM-Data-Hub und DIG-UM zum zweiten Mal die Advanced Deep Learning Schule in Meinerzhagen. 

This Workshop was hosted by the community organization DIG-UM with support from the BMBF-funded ErUM-Data-Hub.

The goal of the workshop was to get an overview on inverse problems in the ErUM-Data community, to discuss methods to solve them, and to foster exchange and cooperation between the ErUM-communities. In particular, the workshop was intended for early stage researchers.

 

Past Events 2022

Deep Learning Basics

Train-the-Trainer Workshop

On March 30 and 31, 2022, the first ErUM Data Hub Workshop took place in Aachen, Germany. The Deep Learning Train-the-Trainer Workshop included 4 lectures on the topics Deep Learning Basics, Convolutional Neural Networks, Recurrent Neural Networks and Introspection Neural Networks and aimed at training lecturers for future teaching activities and providing material for lectures on Deep Learning.

Deep Learning Workshop

Train-the-Trainer 2

Advanced Concepts

From June 09 to June 10, 2022, the ErUM Data Hub and DIG-UM hosted the second Train-the-Trainer Deep-Learning Workshop. The workshop was aimed at scientists from all ErUM communities who have prior knowledge in the field of neural networks. The participants showed a high willingness to give Deep-Learning lectures at schools and workshops in the future. 

Deep Learning School I

Basic Concepts

Basic Concepts

In August 2022, ErUM-Data-Hub and DIG-UM hosted the first Deep Learning School at Landhaus Nordhelle in Meinerzhagen. In a beautiful ambience, intensive classes on Neural Network Building Blocks, Mastering Model Building, Convolutional Neural Networks, Recurrent Neural Networks and Introspection of Neural Networks were held over 4 days. The school was aimed at beginners from all ErUM communities who have a basic knowledge of physics. 

Conceptual Advances in Deep Learning for ErUM Research

Conceptual Advances in Deep Learning for ErUM Research

Expert Workshop

Expert Workshop

Vom 12.09.22 bis zum 16.09.22 veranstalteten der ErUM-Data-Hub und DIG-UM einen Workshop zu Conceptual Advances in Deep Learning. Der Workshop fand im Hotel zur Post in Wiehl statt und richtete sich an Fortgeschrittene. Das Programm enthielt folgende Themen:  

Active Training Course

Advanced Deep Learning

From 28.11.22 to 01.12.22 the ErUM-Data-Hub and DIG-UM organize the second Deep Learning School. In Landhaus Nordhelle in Meinerzhagen, intensive classes on Graph Neural Networks, GANs, Autoencoders and Normalizing Flows will be held over 4 days. Prior knowledge of neural networks is required. However, participation in the first Deep Learning School is not a prerequisite.

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