EVENTS

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!

Whether you have a background in computer science, or biomedical-related fields, this Mini Symposium is designed to be very inclusive for students, researchers, and clinicians working and/or interested in biomedical AI. Our invited speakers will provide engaging presentations that introduce core ideas in AI and demonstrate how they are being applied to solve challenges in biomedicine. There will be opportunities for short lightning talks, Q&A, and networking, all in a fun and relaxed atmosphere with drinks and snacks provided. Please register for this event here.

Invited speakers Fabian Kern (UHH) and Fatemeh Haedaghi (UKE) will give talks on new developments in their research. See titles and abstracts here.

Lightning talks: Interested in giving a short talk about your current research? Let us know in your registration. There will be a number of short talks from selected topics to give exciting impulses of cutting-edge research as well as plenty of time and encouragement of audience participation.

Topics of interest:

• Application of AI in diagnostics (omics, pathology, radiology)
• Predictive modeling for patient outcomes
• Drug discovery and personalized medicine
• Foundation models in biomedicine
• Federated learning and data privacy in biomedicine
• Explainable AI and model interpretability

Environmental degradation remains one of the most pressing global challenges, threatening ecosystems, economies, and human well-being worldwide. To address this crisis, the International Telecommunication Union (ITU), in collaboration with its partners, is proud to announce the 2025 AI for Climate Action Innovation Factory. This initiative aims to harness the power of Artificial Intelligence (AI) to develop innovative solutions that help mitigate environmental impacts and support global adaptation efforts.

The 2025 edition aims to further advance the use of AI in addressing pressing environmental and sustainability challenges, promoting scalable, impactful, and inclusive AI-driven projects that can contribute to meaningful solutions aligned with global priorities and the targets of the Paris Agreement. The finale will take place at COP30 in Brazil, aligning with the conference’s mission to accelerate global environmental action.

Key objectives:

1. Identify and support cutting-edge AI-driven solutions to address environmental and sustainability challenges.
2. Promote the development and deployment of AI-powered tools that drive measurable progress toward environmental resilience and sustainable development.
3. Bring together governments, academia, private sector organizations, startups, and civil society to co-create and scale impactful sustainability-focused solutions.
4. Ensure inclusivity by supporting underrepresented groups, including women, youth, and marginalized communities, in contributing to and benefiting from environmental and sustainability initiatives.
5. Showcase winning solutions during high-profile events, culminating in a grand finale at COP30 in Brazil, where selected projects will gain global recognition and opportunities for adoption.

In dieser Online-Schulung geben wir einen kurzen Überblick über die bekanntesten Text-zu-Text KI-Generatoren. Wir schauen uns deren Einsatzmöglichkeiten im Hochschulbereich an, einschließlich der Herausforderungen, die diese mit sich bringen können.

Für die Teilnahme an dieser Schulung werden keine Vorkenntnisse vorausgesetzt.

Anmeldung hier

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

Target group:  Python beginners

In today's world, there is usually no way around the Python programming language in the geosciences. However, learning Python on your own is associated with many difficulties and leads only to unsatisfactory results, which is why this course was developed especially for beginners.

This workshop will take place via Zoom videoconference.

We only offer a limited number of 60 course seats to ensure there is enough time to help with problems. A few additional seats for the waiting list will be taken in the registration which does not guarantee participation.

The course is only offered to our DKRZ users and project partners who are just starting to work with Python.

Notes:

• On 15.09.25 we offer a short introduction to Linux and Jupyterhub for those registered participants interested.
• From 16.09.25 on the actual Python course starts for all registered course participants.

Registration will open on August 18, 2025 at 10 am

Institutions

• DKRZ
• University Hambrug

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.

This symposium aims to bring together researchers from the interdisciplinary fields of machine learning and data-driven methods with mechanical dynamics to foster  collaboration and promote the adoption of hybrid algorithms in engineering applications. We anticipate presentations from academic institutions and industry, reflecting the growing prominence of data-driven approaches in science-based decision-making.  Topics of interest include, but are not limited to:

• Data-driven analysis and modeling of dynamics
• Physics-constrained learning
• Learning-based system identification
• Data-enhanced physical simulations
• Industrial applications of deep learning for engineering dynamics
• Data Science
• Data-based control
• Error bounds and guarantees in data-based methods

We look forward to receiving contributions to this mini-symposium for a lively exchange in this important aspect of research!

Abstract submission is currently open until April 17, 2025. Further instructions and templates are available on the conference homepage: https://colloquia.gacm.de/organisation.

Institutions

• German Association for Computational Mechanics (GACM)

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, ...)

Die ViTeach 25 widmet sich am 23. September 2025 der Frage, wie videobasierte Lehre im digitalen Zeitalter zukunftsfähig, gemeinschaftlich und verantwortungsvoll gestaltet werden kann. Unter dem Motto „Intelligent. Kollaborativ. Verantwortungsvoll.“ nehmen wir zentrale Entwicklungen in den Blick, die Lehren und Lernen nachhaltig verändern – von KI-gestützten Tools über kollaborative Formate bis hin zu medienethischen Perspektiven.

In einer Zeit, in der Technologien wie Künstliche Intelligenz und Avatare rasant an Bedeutung gewinnen, stehen Lehrende vor neuen Chancen – aber auch Herausforderungen. Wie können solche Technologien sinnvoll in die Lehre eingebettet werden? Welche didaktischen Konzepte eignen sich für Video- oder Podcastformate? Und wie gehen wir verantwortungsvoll mit audiovisuellen Medien und personenbezogenen Daten um?

Die ViTeach 25 bietet ein vielfältiges Programm mit verschiedenen thematischen Tracks – u. a. zu KI & Avataren, (Video-)Podcasting, Technik, Didaktik und ethischen Fragestellungen. Ziel ist es, Räume für Austausch, Reflexion und Inspiration zu schaffen – praxisnah, kritisch und offen für neue Perspektiven.

Ganz gleich, ob Sie erste Schritte in der videobasierten Lehre unternehmen oder bereits erfahren sind: Die ViTeach 25 lädt Sie ein, sich gemeinsam mit anderen Lehrenden, Mediendidaktiker*innen und Technikinteressierten auszutauschen und die Zukunft der digitalen Lehre mitzugestalten.

Wir laden Euch herzlich zum nächsten Termin unserer Reihe "KI Hands-On" ein. Dieses Mal rücken wir den KI-Einsatz in Prüfungsleistungen in den Fokus:

• Wie wird der Einsatz von KI in Prüfungsleistungen an der UHH aktuell geregelt?
• Welche Formen der Eigenständigkeitserklärungen zu KI gibt es an der UHH und wie sind die Erfahrungen damit?
• Welche alternativen Lösungen gibt es, Studierende zu einem reflektierten KI-Einsatz (nicht nur) in Prüfungen anzuregen?

Was erwartet Euch?

Zum Auftakt stellen wir unseren neuen KI-Guide für Studierende vor – mit konkreten Nutzungsszenarien als Gesprächsgrundlage. Im Anschluss hören wir Impulsbeiträge und diskutieren mit Gästen aus Studium, Lehre und Studienorganisation auf dem Podium. Wie immer gibt es die Gelegenheit zum Austausch bei einer Tasse Kaffee, außerdem möchten wir über die Zukunft des Formats sprechen

Die Anmeldung hier 

Sie wollen zusätzlich über weitere Veranstaltungen und aktuelle Entwicklungen auf dem Laufenden bleiben? Dann melden Sie sich zum Newsletter "gKI-Lehre" an.

Institutions

• DDLitLab, ISA-Zentrum

Ob fotorealistisch oder kunstvoll, es gibt viele Möglichkeiten Adobe Firefly in kurzer Zeit einzigartige Bilder generieren zu lassen. Über zahlreiche Einstellmöglichkeiten lassen sich die Ergebnisse immer weiter verfeinern oder schnell verändern.

Wir wollen in 30 Minuten einen beispielhaften Workflow für die Bildgenerierung kennenlernen, der uns durch die verschiedenen Arbeitsschritte führt. Am Ende können wir mit einem generierten Bild in andere Adobe-Anwendungen wechseln, um dort weiter daran zu arbeiten.

Diese Online-Schulung richtet sich an Einsteiger*innen und es werden keine Vorkenntnisse vorausgesetzt.

Adobe Firefly lässt sich bis zu einem bestimmten Rahmen kostenlos nutzen. Darüber hinaus wird es kostenpflichtig.

Anmeldung hier

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

We’re excited to invite you to a workshop, where we’ll introduce the NHR Network for Artificial Intelligence  and the vast array of services available in Göttingen.
These services can complement your local compute resources. Whether you’re a researcher, academic, or student, this session will empower you to leverage these powerful computing resources and expert support for your work.

Just join us on Monday, 24.11.2025, 10 am - 12 pm online via zoom (Meeting ID: 622 7696 1715, Passcode: 86806475)

Agenda Overview:

* Introduction to the NHR Alliance: Learn about this key initiative and how it supports high-performance computing across Germany.
* Presentation on NHR-Nord@Göttingen: Explore the services provided by Göttingen’s computing center.
* Comprehensive Service Offerings: Discover the extensive services available to researchers, including tailored advice, training, and specialized computing resources.
* Explore Science Domains: Gain insights into the wide range of disciplines supported by the NHR centers.
* KISSKI AI Service Center: Learn about the cutting-edge infrastructure for sensitive and critical applications.
* Access to Computing Clusters: Get the details on how you can use these systems for your research.
* Wrap-up: Key takeaways and resources for getting started.

What is NHR? The National High-Performance Computing (NHR) program is an integral part of Germany’s HPC infrastructure, classified as a Tier 2 center. With nine NHR centers across Germany, NHR provides free access to high-performance computing resources and expert support for universities nationwide.

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