In 2024, the ErUM Data Hub is once again organizing exciting workshops and schools in collaboration with DIG-UM. The events are aimed at participants from all ErUM communities and will be held at various locations in Germany.
The 2024 annual program includes two Deep Learning Schools, a Deep Learning Train-the-Trainer Workshop and a Fast and Efficient Python Computing School. Further events will be added, which will be announced here shortly.
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.
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.
The school takes place as a face-to-face event and is limited to 50 participants. The participation fee includes accommodation and full board. Registration is now open.
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 und ist auf 50 Teilnehmer:innen begrenzt.
This workshop is organized by the DIG-UM Topic Group User Interface with support of the ErUM-Data-Hub.
Der Workshop findet als Präsenzveranstaltung statt und ist auf 30 Teilnehmer:innen begrenzt.
Find future exciting ErUM events here.
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.
This three-day event (October 23-25) is designed to bring together developers and researchers, for a hands on workshop on some of the most important topics in high-performance computing and at the end you will be ready to use these powerful libraries in your own projects.
Building on the success of previous editions, we are pleased to announce the upcoming FAIR-DI European Conference on Data Intelligence 2024 (October 27-30). Following the remarkable achievements and insightful discussions at the 2020 and 2022 Conferences on a FAIR Data Infrastructure for Materials Genomics, we are excited to continue the discussion and further collaboration and innovation in this growing field with the theme of Data Intelligence.
The Werner von Siemens Center for Industry and Science (Berlin), the Center for Industrial Mathematics (ZeTeM, University of Bremen) and the Committee for Mathematical Modeling, Simulation, and Optimization (KoMSO) are happy to host the second edition of the KoMSO Academy (November 14-15) dedicated to ‘TorchPhysics: Deep Learning for partial differential equations’. The KoMSO Academy aims at offering mathematicians a platform for an exchange on novel mathematical concepts relevant for industrial applications. Deep Learning concepts for PDEs are booming and everybody working in this area is confronted with the challenge to decide on suitable architectures and concepts for tackling the respective problems. Hence, our present workshop aims at providing an overview on recent developments for deep learning concepts as well as dedicating substantial hours for training sessions with hands-on examples.
The PUNCH4NFDI consortium is inviting members of our communities to a half-day of presentations and discussions on FAIR data management in particle, astroparticle, hadron&nuclear physics, and astronomy (November 28). You will hear presentations and participate in discussions on data management, FAIR principles, FAIRification of metadata, data and workflows, analysis platforms, user requests, etc., and in particular on the relevant PUNCH4NFDI solutions and suggestions.
Here you can find information on international efforts for digital transformation in basic research.
EuCAIF is an European initiative for advancing the use of Artificial Intelligence (AI) in Fundamental Physics. Members are working on particle physics, astroparticle physics, nuclear physics, gravitational wave physics, cosmology, theoretical physics as well as simulation and computational infrastructure.
The JENAA site was established after the Joint ECFA-NuPECC-APPEC Seminar (JENAS) at Orsay, that allowed astroparticle, nuclear and particle physics researchers to peek into each other’s activities. The identified
overlapping challenges might transform via joint programs into stronger opportunities to further our understanding of both the smallest and the largest structures in nature.
The first „European AI for Fundamental Physics Conference“ (EuCAIFCon) was held in Amsterdam, from 30 April to 3 May 2024. The aim of this event was to provide a platform for establishing new connections between AI activities across various branches of fundamental physics, by bringing together reserachers that face similar challenges and/or use similar AI solutions. The conference was organized „horizontally“: sessions were centered on specific AI methods and themes, while being cross-disciplinary regarding the scientific questions.
The first JENA Computing Workshop was held on June 12 – 14, 2023, in Bologna.
Continued discussion led to the Executive Summary and next steps, featuring the formation of five Working Groups described in the document including the possibility to sign up – see below.
Working Groups
The mandate from the 3 ENA Chairs for the Working Groups can be found here.
At the JENA Symposium in May 2022 in Madrid, both the plenary presentations and the closed session of funding agency representatives revealed that there is an increased need for discussions on the strategy and implementation of European federated computing at future large-scale research facilities.
The status, needs and plans on a European level for large infrastructures are diverse and not coherent, e.g.,
For all these research areas, issues of scaling will be the challenge of the next decade. Within JENA, synergies and commonalities will be of utmost importance in this scaling.
Find more exciting networking and education opportunities within ErUM Communities here.
In this section, we collect events and presentations pertaining to PUNCH4NFDI and the NFDI, and we link presentations that were given by PUNCH4NFDI members.
On the DAPHNE4NFDI events page you will find a comprehensive collection of upcoming conferences, meetings, workshops and schools.
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.
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:
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.
The Active Training Course „Advanced Deep Learning“ will take place over 4 days at Bernhäuser Forst in Filderstedt. The event serves the professional education of young scientists belonging to the ErUM Community and is being organized by the community organization DIG-UM with support from the BMBF-funded ErUM-Data-Hub.
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.
The school takes place as a face-to-face event and is limited to 50 participants. The participation fee includes accommodation and full board. Registration is now open.
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.
This event takes place as a face-to-face event.
The workshop is intended for researchers interested in sustainability within ErUM-Data.
Key ingredient to this workshop are short 1-slide pitches from the participants introducing themselves/their work and current projects/progresses or experience with sustainability. This session aims to connect ErUM scientists and disseminate sustainability initiatives and ideas.
Afterwards, a discussion is opened where you can discuss your „hill-to-die-on“-opinions related to sustainability. Please write down your opinions in this google doc before the workshop starts (e.g. „Measurement precision may be sacrificed for sustainability!“).
The workshop is supposed to bring together people who are interested in technical concepts that support the analysis of large ErUM datasets by individual researchers or small groups. Ideas how to shape an ErUM-Data project on and the development of federated infrastructures will be discussed.
This event takes place as a face-to-face event.
In 2023, the ErUM Data Hub organized exciting workshops and schools in collaboration with DIG-UM. The events were aimed at participants from all ErUM communities and were held at various locations in Germany.
The 2023 annual program included three Deep Learning Schools, two Deep Learning Train-the-Trainer Workshops and workshops on Big Data Analytics, Sustainability in ErUM-Data, Research Data Management and Next Generation Environment for Interoperable Data Analysis.
On February 7 and 8, 2023, the ErUM Data Hub and DIG-UM wonce again hosted the Deep Learning Basics Train-the-Trainer Workshop. The venue in 2023 was Munich.
On February 23 and 24, 2023, the ErUM Data Hub and DIG-UM hosted a Connection Workshop on Big Data Analytics at the DESY campus in Hamburg. The aim was to find synergies between the funded projects (and other activities, such as the NFDI consortia DAPHNE and PUNCH) and to discuss how projects that were not funded in this round can still be realized.
From February 27 to March 2, 2023, the ErUM Data Hub and DIG-UM hosted the Deep Learning School Basic Concepts for the second time.
Read here the review of the first Deep Learning School in August 2022.
In March 2023, the ErUM Data Hub and DIG-UM organized an expert workshop on research data management in Bonn.
In March 2023, the ErUM Data Hub and DIG-UM organized an expert workshop on the Next Generation Environment for Interoperable Data Analysis in Berlin.
From May 30 to June 2, 2023, the ErUM Data Hub and DIG-UM organized an expert workshop on sustainability in ErUM Data.
On June 19 and 20, 2023, the ErUM Data Hub and DIG-UM hosted the second Advanced Deep Learning Train-the-Trainer Workshop.
From August 7 to 10, 2023, the ErUM Data Hub and DIG-UM once again hosted the Deep Learning School Basic Concepts.
From September 25 to 28, 2023, the ErUM Data Hub and DIG-UM organized the Advanced Deep Learning School in Meinerzhagen for the second time.
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.
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.
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.
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.
From 12.09.22 to 16.09.22, the ErUM Data Hub and DIG-UM organized a workshop on Conceptual Advances in Deep LearningThe workshop took place at the Hotel zur Post in Wiehl and was aimed at advanced participants. The program included the following topics:
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.
The ErUM-Data-Hub is the central networking and transfer office for the digital transformation in the exploration of universe and matter.
As a Digital Knowledge Agent, we offer Digital Transformation in fundamental ErUM Research.
