EVENTS

3D-Entwicklung ist ein zeitaufwändiger Prozess. Von der Gestaltung und Erstellung digitaler Modelle und Materialien bis hin zum Schreiben von Programmcode und Funktionen für die Interaktion mit der virtuellen Umgebung - alles, was in der 3D-Anwendung an Inhalten und Funktionalität bereitgestellt wird, wurde von den Entwickler*innen mit Mühe produziert.

Um ansprechende Umgebungen im 3D-Raum zu schaffen, wird eine beträchtliche Menge davon benötigt, da diese sonst leer und langweilig wirken würden. In einer Zeit, in der sich KI-Tools rasant weiterentwickeln, scheint die Lösung dieser Herausforderung auf der Hand zu liegen:

Könnten uns diese KI-Tools nicht einen Großteil der Arbeit abnehmen, die mit der Erstellung dieser Inhalte und Funktionen verbunden ist? Das klingt zunächst verlockend. Aber wie realistisch ist das?

In unserer Online-Schulung stellen wir Ihnen Werkzeuge vor, die genau das zum Ziel haben: Die KI-gestützte Generierung von 3D-Content und Code, den wir direkt für die Entwicklung in der 3D-Engine nutzen und einsetzen können. Doch funktioniert das auch in der Praxis?

Einen Reality-Check, unsere Erfahrungen mit verschiedenen Tools sowie Tipps zur Integration dieser Tools in Ihre Entwicklungsprozesse möchten wir in unserem Workshop mit Ihnen diskutieren und einen Diskurs darüber führen, wohin die Reise mit KI-Tools in diesem speziellen Themenfeld noch gehen kann.

Anmeldung hier

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

Pflegen Sie Angehörige und fragen sich, wie Künstliche Intelligenz, insbesondere ChatGPT, Ihre Herausforderungen im Bereich der Pflegeberatung erleichtern kann? Im Rahmen eines spannenden Forschungsprojekts zur Anwendung von ChatGPT in der Pflegeberatung laden wir Sie herzlich ein, die vielseitigen Möglichkeiten dieser Technologie zu erkunden! In unserem interaktiven Workshop haben Sie die Gelegenheit, ChatGPT auf iPads auszuprobieren. Stellen Sie Ihre eigenen Anliegen oder nutzen Sie einen unserer fiktiven Fälle und erhalten Sie Antworten der KI, die Sie direkt auf ihre Nützlichkeit in der Pflegeberatung hin überprüfen können. Ein besonderer Schwerpunkt liegt auf dem Austausch: Abschließend schaffen wir einen offenen Raum für Diskussionen, in dem Sie Ihre Erfahrungen, Bedenken und kreativen Ideen zur Integration von Künstlicher Intelligenz in die Pflegeberatung teilen können. Der Workshop richtet sich speziell an pflegende Angehörige und an Interessierte der teilnehmenden Hochschulen.

Bitte beachten Sie: Der Workshop erfolgt im Rahmen eines vom Bundesministerium für Forschung und Bildung* finanzierten Forschungsprojekts. Die Teilnahme setzt daher Ihre Zustimmung zur Aufzeichnung der Nutzung von ChatGPT (Screen-Recordings) sowie zu Audioaufnahmen voraus, die im Rahmen des Forschungsprojekts in anonymisierter Form ausgewertet werden. Der Zugang zu ChatGPT sowie iPads werden vom Veranstalter zur Verfügung gestellt. 
* Das Forschungsprojekt wird vom BMBF im Rahmen des DATIpilot Innovationssprints gefördert (Förderkennzeichen: 03DPS1260) 

Referent:innen: Kristin Skowranek, Projektleitung und Dr. Gregor Dutz, wissenschaftlicher Mitarbeiter im Projekt „KI in der Pflegeberatung“ der Universität Hamburg

Professor Christoph Kumpan and Professor Georg Ringe would like to invite you to the NAIL Research Seminar #20, with Dr. Monica Gigola (University of Genoa).

Abstract: The subject of my research concerns the impact that scientific and technological advances in artificial and computational science, hence robotics and artificial intelligence that have determined and are determining not only in the contractual sphere, in the civil liability system, but also at the European level, particularly in the health care sphere, in the light of regulatory developments, jurisprudential contributions and the effects produced by technological development.
Particularly in the health care field, the question arises as to which liability criteria are applicable when it is not easy to establish whether or not the prerequisites for the assertion of a direct liability of the facility or the physician are met.
At the root of the problem are, first of all, the characters of the AI tools -called the black box- which does not allow the operator access to the processes through which the desired result is reached, being unable to understand or verify the logical process and the reasons for the machine's choices. First of all, it is necessary to divide the etiology of possible damaging events caused by AI systems into two distinct areas, those that trace the cause back to malpractice behaviors of the doctor and those in which the cause of the event appears to fall under machine malfunction problems.While the legislation seems to be directed toward a more precise and updated definition of digital product with the adoption of the new Directive (EU) 2024/2853, it seems necessary to identify ad hoc legislation, at the national level, such as a double track between the recent European regulation and the system provided by the Gelli-Bianco law.s.

Please register for the event via this link. More information about the NAIL project is available on our institutional website. Please subscribe to our mailing list to receive notifications for future events.

Institutions

• Network for Artificial Intelligence and Law (NAIL)

On Thursday 15th May at 11am CEST, we will celebrate the "Young RSE Award" winners from 2023, 2024 and 2025 with a presentation from each of them on the research topic that won them the award. If your RSE career has just started you can get involved in the Young RSE competition which occurs annually organised by the deRSE Association and takes place at the deRSE Conference. We welcome the 2023 Award Winner - Yudong Sun, the 2024 Award Winner - Florian Sihler, the 2025 Award Winner - Anna Lena Schaible. 

Yudong Sun

Title: Modularity in Software-Hardware Interaction for Experimental Physics, an Example

Florian Sihler

Title: flowR: A Program Slicer for the R Programming Language

Anna Lena Schaible

Title: Fast GPU-powered and auto-differentiable forward modeling for cosmological hydrodynamical simulations

Language: English

Institutions

• Helmholtz Platform for Research Software Engineering - Preparatory Study

Aus einfachen Text- oder Bildeingaben können mit dem browserbasierten AI-Tool RunwayML Videoclips generiert und mit Magic Tools nachbearbeitet werden.

In 30 Minuten lernen Sie einen beispielhaften Workflow zur Generierung von Videoclips aus Einzelbildern oder Textprompts kennen. Dabei werden Ihnen die einzelnen Arbeitsschritte in RunwayML gezeigt.

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

Anmeldung hier

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

Generative KI-Tools wie ChatGPT und Co. werfen nicht nur an der Universität Hamburg viele Fragen auf – von grundlegenden Zielen der Hochschulbildung über neue praktische Gestaltungsmöglichkeiten der eigenen Lehre bis hin zu konkreten prüfungsrechtlichen Aspekten. Unsere Veranstaltungsreihe und Community of Practice „KI Hands-On“ nimmt genau solchen Aspekte in den Blick. Beim Termin zu der Frage "Was müssen Studierende in Zeiten von gKI Neues fürs Studium lernen?".

(Generative) KI hat uns allen neue Möglichkeiten eröffnet – auch den Studierenden. Während auf der einen Seite Rufe nach besseren Plagiatsprüfungstools laut werden, möchten wir uns dem Thema aus einer didaktischen Perspektive nähern und haben uns in einem gemeinsamen Forschungsprojekt von DDLitLab und HUL mit der Frage auseinandergesetzt, welches neue Wissen und welche neuen Fähigkeiten Studierende brauchen, um gKI verantwortungsbewusst und konstruktiv im Studium einzusetzen.

In diesem KI Hands-On werden wir unsere Vorgehensweise und Ergebnisse präsentieren und diskutieren. Außerdem werden wir uns gemeinsam der Fragen widmen, wie Sie diesen Themen in Ihrer eigenen Lehre Raum geben können und möchten - oder es womöglich im Sinne eines Good-Practice-Beispiels - bereits tun?

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

In an era where digital technologies are reshaping industries and daily life, the environmental impact of AI systems has become a growing concern. This course explores efficient AI methodologies to address these challenges. From deep learning model compression to low-bit quantization and collaborative inference, we delve into techniques that enhance computational efficiency and reduce energy consumption. In Week 2, we focus on low-bit quantization specifically for large language models (LLMs), showcasing cutting-edge open-source tools and models. Join us to learn how to build sustainable AI systems while pushing the boundaries of innovation.

This course is part of the Sustainability in the Digital Age series, a collaborative project between colleagues from Stanford University, SAP and the Hasso Plattner Institute.

The course runs for two weeks with a total workload of approximately 6-10 hours.

Institutions

• openHPI

Institutions

• UHH

Institutions

• UHH

Institutions

• UHH

This workshop is open to students, researchers, and clinicians keen to learn the essentials of deep learning (DL) and implementing it via Python. The aim of the course is to provide an introduction to DL especially for those who want to dive into the field of AI and use it in their projects. During the workshop, we will focus on fundamentals of DL, where to use these methods, and how to implement them in Python by practicing on real life data. Therefore, a basic knowledge of python is required. The students will also get familiarized with the Python package of Pytorch, which is the top used package for DL. The workshop will be in presence and each participant should bring their own laptop.

Topics:

• Basics of machine learning and deep learning;
• The Perceptron and the multilayer Perceptron;
• Autoencoders and embedding space;
• Convolutional neural networks;
• Model optimization and evaluation;
• More advanced topics, time allowing

Registration for this workshop is now open

Language: English
Prerequisites: A laptop with Rstudio installed, Enthusiasm

Institutions

• UHH

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

Institutions

• UHH

The Hub of Computing and Data Science will hold an RSE day in the Science City Bahrenfeld. The event is tailored to scientists and software developers working in Research Software Engineering and people interested in the field. It aims to strengthen our community in Hamburg, share experiences, and showcase our work. As the requirements for sustainable research software increase, we see the potential to build a community of practice that meets regularly and tries to leverage synergies in the metropolitan area.

Research Software Engineers (RSEs) specialize in developing and maintaining software that supports scientific research. They combine software engineering expertise with a deep understanding of research methods and domain knowledge in specific scientific fields.

That means RSEs are crucial in bridging the gap between advanced computing and scientific inquiry, ensuring that software solutions are robust, efficient, and tailored to researchers' needs.

If you feel you belong to this community, you are invited to submit an abstract for a poster showing your work and complementary lightning talks.

This event will provide a platform for lively discussions with lightning talks and community engagement during the poster sessions. Two keynote presentations will round out the program by providing insights into successfully implemented RSE. Hopefully, it will generate new ideas and help find collaboration options.

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) 

We are inviting applications from graduate students and researchers in the area of Cybersecurity and related fields. During our annual scientific event, students will have the opportunity to follow one week of scientific talks and workshops, present their own work during poster sessions and discuss relevant topics with fellow researchers and expert speakers. The program will be complemented by social activities. 

Application Process: Please fill in the application form and upload your CV, a Motivation Letter, University Certificate of Transcript of Records. 

Notification of Acceptance: Several rounds of acceptance, roughly 3 weeks after application at the latest. Fee: 200,-€  (includes full program, food and beverages during the week, weekly local bus ticket, and social activities)

Deadline for Regular Application: June 30, 2025. Deadline for Late Application (wait list) to be announced

Summer School Program here

Invited Speakers

Antti Honkela (University of Helsinki)
Battista Biggio (University of Cagliari/Pluribus One)
Jenia Jitsev (LAION)
Borja Balle (DeepMind)
Andrew Paverd (Microsoft)

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.

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, ...)