EVENTS

Wie sieht die Zukunft der Videoproduktion aus?

Diese Online-Schulung gibt Ihnen einen Überblick über die neuesten Anwendungen von künstlicher Intelligenz in der Videoproduktion.

Es wird gezeigt, wie KI-Tools die Art und Weise verändern, wie Videos erstellt, bearbeitet und optimiert werden.

Mittlerweile ist es sogar mit Hilfe von KI-Tools möglich, kurze Bewegtbildsequenzen aus Bildern und Text-to-Video-Prompts zu generieren.

Wie könnte nun ein zukünftiger Produktionsworkflow mit Hilfe von KI-Tools aussehen?

In dieser Schulung wird anhand von Beispielen gezeigt, wie generative KI die Videoproduktion verändert.

Anmeldung hier

Als virtuellen Lernort werden wir ZOOM nutzen. Der ZOOM-Link wird einen Tag vor Schulungsbeginn bis 13:00 Uhr versendet.

The 2025 edition of the EuADS Summer School is dedicated to Automated Data Science (AutoDS) and will cover important branches of this research field in a tutorial style. With the increasing complexity of data science projects and the limited availability of human expertise, the idea of automating or partially automating the work of a data scientist has come to the fore in recent years. AutoDS aims to streamline the data science workflow, making processes such as data pre-processing, feature engineering, model selection, evaluation and deployment faster and more accessible. By reducing manual intervention, AutoDS enables both non-experts and data scientists to work more efficiently, scale projects, and make data science accessible to a broader audience. It leverages tools from automated machine learning (AutoML) frameworks, automated visualisation and interpretability techniques to enable efficient model tuning, robust evaluation and easy deployment. Despite its advantages in efficiency and scalability, challenges remain in automating subtasks that are context-dependent and require human interaction, as well as model interpretability, dependence on data quality, and ethical concerns related to bias in automated models. These and other issues will be addressed in a series of five tutorials delivered by leading experts in the field.

The Summer School emphasizes the interdisciplinary nature of data science and is primarily aimed at PhD students, postdoctoral and early-career researchers with a basic grounding in data science, statistics, machine learning, AI, or related fields, and an interest in interdisciplinary research and applications.

Institutions

• LMU Munich, Germany
• U of Bristol, UK
• EuADS Germany
• U of Essex, UK
• STATEC, Luxembourg
• U of Göttingen, Germany
• Data 3.0 Ldt., UK
• CUNEF Universidad, Spain
• U of Cordoba, Spain
• NeuralWave Technologies, Luxembourg
• Imperial College London, UK
• Bielefeld University, Germany

Welcome to the 2025 edition of the WarmWorld-ESiWACE3 Summer School, in the old town of Lauenburg near Hamburg!

The Summer School will give an insight into ICON , one of the state-of-the-art weather and climate science models. The students will learn basic meteorology concepts and will be invited to tackle code challenges using intermediate and advanced approaches from software engineering, high-performance computing and data analysis, all under the guidance of experienced lecturers from these various fields.

Important dates

• Apr 15, 2025 – Deadline for travel grants requests
• Apr 30, 2025 – Registration closes
• until May 15, 2025 – Notification of acceptance
• Jul 28 - Aug 7, 2025 – Summer School

Institutions

• IT Center for Science (CSC-IT)
• Deutsches Klimarechenzentrum (DKRZ)
• Deutscher Wetterdienst (DWD)
• Technical University of Munich (TUM)
• University of Cologne , Center for Earth System Observation and Computational Analysis (CESOC)
• Max Planck Institute for Meteorology (MPI-M) 

This Dagstuhl Seminar seeks to ignite a focused dialogue on the strategic positioning and practical implementation of digital transformation in scientific research. Central to our discussion will be the role of Digital Centers or Hubs as flagship components of modern research infrastructure and the significance of Research Software Engineering (RSE) and Research Data Management (RDM) as essential enablers of their success.

The seminar's guiding question is: How can digital transformation be effectively embedded in the research landscape? Should it be steered centrally via comprehensive digital centers or emerge through decentralized, institution-driven initiatives? We will explore the strengths, limitations, and potential synergies of both models, with the goal of deriving actionable insights for sustainable digital infrastructure strategies.

Another focus is on the tension between disciplinary specificity and transdisciplinarity: Should digital competence centers closely align with specific research domains, or should they work across disciplines to foster collaboration and shared innovation? Understanding this balance is crucial for building effective, scalable digital ecosystems across institutions and research communities.

For more information please read here

Institutions

• Indiana University - Bloomington, US
• Universität Kiel, DE
• Universität Innsbruck, AT
• HCDS, Universität Hamburg, DE

This is the first call for participation on the 18th MT Marathon that will take place in Helsinki on August 25-29, 2025. The eighteenth edition of the MT Marathon will be organized by the Language Technology Research group at the University of Helsinki, Finland, with sponsorship of EAMT.

Each Machine Translation Marathon is a week-long gathering of machine translation researchers, developers, students and users featuring:

- MT Lectures and Labs covering the basics and tutorials.
- Keynote Talks from experienced researchers and practitioners.
- Presentations of research and open source tools related to MT.
- Hacking Projects to advance tools or research in one week or start new collaborations.

The registration registration is free of charge for EAMT members 

The programme is still under construction. 

Projects

We collect and share proposed projects before the Marathon, and the project topics are settled on the first day. Usually, most of the projects actually make it to the final presentation and some continue even (long) after the Marathon. More details will be added later.

Open Session

The MT Marathon will again host an open session with poster presentations related to MT/NLP research and open-source tools. We invite students, developers and researchers to submit short abstracts (1 page) featuring previously published results, open-source tool demos, and work in progress. Abstracts are lightly reviewed for topical scope, and all relevant submissions will be accepted for presentation.
Information about submission procedures will be announced later.

Institutions

• Technology Research group at the University of Helsinki 

The 6th preCICE Workshop will be held at the Helmut-Schmidt University of Hamburg on September 8-12, 2025. The workshop is a coming together of the preCICE community to share ideas, experiences and knowledge about using preCICE, and to learn from others in the process. Like always, we plan to have user and developer talks, hands-on training sessions, discussions with the developers about your applications and use cases, and plenty of opportunities for networking. Read more about how a preCICE workshop looks like.

The workshop will include a hands-on training course. The course is suited for both beginners and current preCICE users, since advanced topics will also be covered. We will extend the course by a new module on HPC.

In the developer talks, the maintainer team will present recent updates on dynamic meshes, mesh-particle coupling, and macro-micro coupling – to only mention a few highlights. And we will continue the standardization process of adapters and application cases, where you can help shaping the future.

Keep watching this space for updates on registration, the workshop program, and more.

Call for contributions
We are looking for talks and posters that could be beneficial for the wider preCICE community. Are you developing a new adapter (such as for G+Smo or ISSM last year)? Are you using preCICE for an exciting new application? Are you developing new methods that should not be missing from preCICE? If the answer to any of these questions was yes, we encourage you to submit a brief abstract for a 20 minutes talk. Are you revisiting one of the classical preCICE use cases? Did you already present your work in a previous workshop? Then we would be very happy to catch up with your work and we encourage you to present a poster. You do not need to submit a contribution to join this workshop. However, your contributions are very welcome!

CELLO brings together international experts in ocean turbulence, air-sea-ice interactions, and computational methods to model and better understand ocean dynamics. The meeting will take place from September 16th to 18th, 2025, at Bucerius Law School in Hamburg.

Nearly 50 years ago, the Max Planck Institute for Meteorology, under the leadership of Klaus Hasselmann, recognized the ocean's crucial role in the climate system. Since then, advances in computational power and observational techniques have dramatically enhanced our ability to observe and simulate dynamics that were previously beyond our reach. These advancements now offer deeper insights into Earth's climate and its potential future changes, including how, where, and to what extent these changes might occur.

CELLO seeks to convene leading scientists from our field to share the latest research findings, explore future directions, and foster opportunities for collaboration.

To learn more about the conference themes and convenors please refer to the Conference Program. Submissions and registration will open on this website in Spring 2025.

In recent years, the field of Machine Learning has made significant progress in theory and applications. This success is rooted in the mutual stimulation of mathematical insight and experimental studies. On the one hand, mathematics allows to conceptualize and formalize core problems within learning theory, leading, for instance, to performance bounds for learning algorithms. On the other hand, experimental studies confirm theoretical predictions and instigate new directions in theoretical research. This meeting aims to discuss the interaction between theory and practice, with focus on the current gaps between the two. The talks will be centered around themes including the following.

• Gradient Methods (gradient optimization, stochastic gradient, natural gradients, gradient applied to deep networks, ...),
• Natural Geometric Structures (Information Geometry, optimal transport geometry, ...),
• Generalisation Theory (statistical learning theory, complexity measures, Ill-posed inverse problems, regularization, implicit bias...)
• Functional analytical tools (approximation theory, harmonic analysis, ...)
• Overparametrization and random matrix theory (neural tangent kernel, lazy training, convergence of gradient descent, generalization bounds, ...)