EVENTS

In dieser 30-minütigen Online-Schulung schauen wir uns die grundlegenden Funktionen und Anwendungsmöglichkeiten von ChatGPT an. Dabei sprechen wir auch über GPTs: Chatbots, die sich ohne Programmierkenntnisse konfigurieren lassen.

Für die Teilnahme an dieser Schulung werden keine Vorkenntnisse vorausgesetzt.

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

The International Telecommunication Union (ITU) is launching the fourth edition of the GeoAI Challenge, inviting students and professionals worldwide to tackle real‑world geospatial problems using artificial intelligence (AI) and machine learning (ML) to support advance solutions to solve global challenges.
This session introduces the challenge problem statement “Reaching new heights with GeoFM embeddings”, developed in cooperation with the European Space Agency (ESA) Φ‑lab Challenges, KTH Royal Institute of Technology, Politecnico di Milano, and the Group on Earth Observation (GEO).
The project represents an important first step toward building a global open dataset of Digital Surface Models (DSM), Digital Terrain Models (DTM), and ground‑cover categories derived solely from open satellite imagery. Participants will train models on selected regions and assess their ability to generalize across diverse geographical areas. Such datasets enable a wide range of SDG‑relevant applications.
For ITU, global geospatial datasets are essential to improve the accuracy of ITU‑R radio‑wave propagation prediction methods, which support spectrum sharing studies, radio‑interference assessment, and coverage estimation for point‑to‑area services such as mobile and broadcasting systems.

Institutions

• AI for Good

Institutions

• Artificial Intelligence Center Hamburg (ARIC) e.V.

Schütz dein Unternehmen mit einfachen IT-Sicherheitsmaßnahmen. Der Workshop von 3S – Solution Support Service bietet euch eine praktische Einführung in den Schutz vor Cyberangriffen für kleine und mittelständische Unternehmen (KMU).

Was euch erwartet:

• Einblick in die Bedrohungslage für KMU
• Live-Hacking erleben – wie Angreifer vorgehen
• Verständliche Erklärungen zu IT-Sicherheit und richtigen Reaktionen
• Tipps zu E-Mail-, Download- und Web-Management
• Bedeutung und Funktion eines Backups
• Praxisnahe Alltagstipps, um euer Unternehmen zu schützen

Referent:innen

• Bernd Hennig – IT-Spezialist – HITeC e.V. – Hamburger Informatik Technologie-Center
• Phillip Warczak – IT-Spezialist – HITeC e.V. – Hamburger Informatik Technologie-Center
• Alexander Steffens – IT-Spezialist – HITeC e.V. – Hamburger Informatik Technologie-Center
• Matthias Kruspe – IT-Spezialist – HITeC e.V. – Hamburger Informatik Technologie-Center

Institutions

• EDIH Hamburg 
• HITeC e.V.
• 3S – Solution Support Service 

Künstliche Intelligenz verändert zunehmend die Kernbereiche von Hochschulen. Dabei ergeben sich auch neue rechtliche Fragen. Die Online-Veranstaltung beleuchtet aktuelle Entwicklungen rund um Text- und Data-Mining, den Einsatz von KI in Prüfungen sowie datenschutzrechtliche Anforderungen. So stehen die Auseinandersetzung GEMA vs. OpenAI, der Weg von KI-Empfehlungen zu rechtsverbindlichen Regelungen an Hochschulen und ein Rechtsprechungsupdate zum KI-Einsatz in Prüfungen sowie KI und das Datenschutzrecht im Fokus der Fachveranstaltung.

Programmablauf

• 10:00–10:10 Begrüßung durch die Organisatoren
• 10:10–10:40 Keynote von Prof. Dr. Achim Förster (Technische Hochschule Würzburg-Schweinfurt) zum Thema “GEMA vs. Open AI. Wie geht es weiter beim Text und Data Mining?”
• 10:40–11:05 Kurzvortrag der Rechtsinformationsstelle bwDigiRecht: “Hochschulen im Spannungsfeld KI – Von Empfehlungen zu rechtsverbindlichen Nutzungsregelungen”
• 11:05–11:30 Kurzvortrag der Rechtsinformationsstellen von MMKH und HOOU@HAW Hamburg zum Thema “KI-Einsatz in Prüfungen: Rechtsprechungsupdate inkl. Handlungsempfehlungen”
• 11:30–11:55 Kurzvortrag der Rechtsinformationsstelle von ORCA.nrw: “KI und Datenschutzrecht” 
• 11:55–12:25 Offene Fragerunde
• 12:25–12:30 Verabschiedung durch die Veranstalter

Institutions

• Hub Recht

Vortrag: Felicitas John und Jean-Pascal Sopha, Büro für Digitalität in der Lehre

In diesem Workshop steigen wir in das Themenfeld der generativen Künstlichen Intelligenz in der Lehre ein. Nach dem Kennlernen von Funktionsweisen und technischen Hintergründen von gKI-Anwendungen betrachten wir die Rahmenbedingungen ihres Einsatzes an der UHH: Welche Anwendungen werden genutzt und welche Orientierungsangebote stehen zur Verfügung. Anschließend bearbeiten Sie Lehrszenarien, die einen kritisch-reflektierten Umgang Ihrer Studierenden mit gKI-Anwendungen fördern.

Bitte bringen Sie zu diesem Workshop Ihren eigenen Laptop mit.

We are calling in all AI enthusiasts in Hamburg. Let's talk and exchange thoughts and ideas!

Meet other AI and tech enthusiasts at our well-established AI Meetup, bringing together the Hamburg AI scene for more than three years. Join us for the AI Mix & Mingle at Sofabar, where you can chat casually, exchange ideas, or discuss your AI projects. There are no presentations—the focus is on networking and open conversation.

While your registration is not mandatory, it is appreciated. You would make our reporting easier if you sign up on Eventbrite. But feel free to drop by spontaneously, too, to connect with us and others, build networks, and dive into interesting conversations about AI and beyond!

We are lookimg forward to seeing you there!
For any questions, comments, or feedback, please email us at: cm@aric-hamburg.de
More information on our website: [https://aric-hamburg.de/veranstaltungen/ai-mix-mingle

Institutions

• Artificial Intelligence Center Hamburg (ARIC) e.V.

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

Prerequisites: Experience working in Python

Künstliche Intelligenz ist längst in den Hochschulen angekommen – doch wie können wir sie gezielt für unsere Aufgaben nutzbar machen? In dieser kompakten 30-minütigen Online-Schulung lernen Sie, wie Sie mit ChatGPT ganz einfach einen eigenen KI-Assistenten (GPT) erstellen – ohne Programmierkenntnisse und direkt einsetzbar für Ihren Arbeitsbereich.

Ob Lehrmaterialien generieren, Formulare automatisieren, Erklärvideos vorbereiten, Anfragen beantworten, Recherche unterstützen oder komplexe Workflows vereinfachen – GPTs lassen sich mit wenigen Klicks individuell konfigurieren.

Vortrag: Dr. Jonas Müller-Laackman, SUB Hamburg

Vortrag: Prof. Dr. Ralf Möller, Institute of Humanities-Centered Artificial Intelligence

We are calling in all AI enthusiasts in Hamburg. Let's talk and exchange thoughts and ideas!

Meet other AI and tech enthusiasts at our well-established AI Meetup, bringing together the Hamburg AI scene for more than three years. Join us for the AI Mix & Mingle at Sofabar, where you can chat casually, exchange ideas, or discuss your AI projects. There are no presentations—the focus is on networking and open conversation.

While your registration is not mandatory, it is appreciated. You would make our reporting easier if you sign up on Eventbrite. But feel free to drop by spontaneously, too, to connect with us and others, build networks, and dive into interesting conversations about AI and beyond!

We are lookimg forward to seeing you there!
For any questions, comments, or feedback, please email us at: cm@aric-hamburg.de
More information on our website: [https://aric-hamburg.de/veranstaltungen/ai-mix-mingle

Institutions

• Artificial Intelligence Center Hamburg (ARIC) e.V.

Are you passionate about exploring the intersection of digital technologies and the humanities? Join our PhD course ‘An Introduction to Digital Humanities and to the digital treatment of language data’ designed specifically for PhD students interested in applying digital methods to their humanities language data, and to thereby be able to answer new kinds of research questions on large amounts of such data. In this course, we will equip you with a basic understanding of various methods, standards, and tools essential for conducting digital humanities research on language data.
Our focus of the course will be on the digital processing of text and speech, exemplified among others through the extensive digital corpora available through The Department of Nordic Studies and Linguistics. You will have hands-on experience with the corpus tool Korp, enabling you to unlock valuable insights hidden within vast amounts of textual data. Additionally, we will look into natural language processing techniques, providing you with a practical introduction to zero-shot & few-shot prompting of large language models, and machine learning with Python. Finally, you will be introduced to modern prompting and RAG (Retrieval Augmented Generation) techniques for having large language models (LLMs) assist in annotating and analysing your material. You will get the opportunity to work with these tools also on your own data.
For more information about the PhD course, please contact the PhD Administration (phd@hrsc.ku.dk).

Institutions

• PhD School at the Faculty of Humanities at University of Copenhagen

Generative KI verändert die Hochschullehre rasant – von neuen didaktischen Möglichkeiten über rechtliche Fragen bis hin zu Herausforderungen für Prüfungen, Inklusion und Medienproduktion. Doch wie können Lehrende und Hochschulen diese Entwicklungen sinnvoll und verantwortungsvoll gestalten?

Die Veranstaltung bietet Raum für Austausch, Perspektivenvielfalt und praxisnahe Impulse. Bringen Sie Ihre Erfahrungen, Fragen und Ideen ein und gestalten Sie gemeinsam mit anderen Teilnehmenden die Zukunft der KI-gestützten Hochschullehre.

This two-day workshop provides a structured introduction to single-cell RNA-sequencing (scRNA-seq) analysis, combining theoretical foundations with practical exercises to help participants understand and interpret scRNA-seq data. The theoretical components will present the complete conceptual workflow—from experimental design considerations to raw data processing, quality control, normalization, dimensionality reduction, clustering, and data integration. These sessions will guide attendees in evaluating scRNA-seq datasets, understanding the reasoning behind each part of the workflow, and selecting methods that lead to reliable biological insights.
The practical components translate these concepts into hands-on skills through guided exercises, primarily in Google Colab. Participants will become familiar with the Nextflow workflow manager, explore nf-core pipelines such as nf-core/scrna and nf-core/scdownstream, and learn to understand the structure and meaning of the results. They will also review data integration using the Semares platform and Cellxgene explorer, and perform custom downstream analyses in Scanpy. AI-assisted coding support will help attendees create their own analysis functions in Python and develop custom analysis, even with limited programming experience. The workshop will enable participants to complete an end-to-end analysis and prepare them to apply modern scRNA-seq methodologies to their own datasets.

Topics: here

Registration for this workshop will open soon.

This workshop will focus on the analysis of spatial transcriptomics data. Participants will receive an introduction to spatial transcriptomics (particularly, the Visium and Xenium platforms from 10x Genomics) and a comprehensive hands-on session to understand the data analysis process. The workshop will cover key concepts, including data visualization, interpretation of gene expression patterns and spatial proximities, and clustering analyses.

Topics:

• Introduction to spatial transcriptomics platforms
• Methodological foundations
• Data visualisation
• Expression pattern interpretation
• Tutorial I – Preprocessing, implementation and evaluation metrics
• Tutorial II – Analysis, biological interpretation and discussion

Registration for this workshop will open soon.

The International Conference on Computational Science is an annual conference that brings together researchers and scientists from mathematics and computer science as basic computing disciplines, as well as from other various application areas, who are pioneering computational methods in sciences such as physics, chemistry, life sciences, and engineering, as well as in arts and humanitarian fields, to discuss problems and solutions in the area, identify new issues, and shape future directions for research.

ICCS 2026 in Hamburg, Germany will be the twenty-sixth edition in this series of highly successful conferences.

The conference theme for this year is “At the Forefront of Science through Computation and Data”.

This conference will be a unique event focusing on recent developments in: scalable scientific algorithms; advanced software tools; computational grids; advanced numerical methods; and novel application areas. These innovative novel models, algorithms and tools drive new science through efficient application in areas such as physical systems, computational and systems biology, environmental systems, finance, and others.

We are calling in all AI enthusiasts in Hamburg. Let's talk and exchange thoughts and ideas!

Meet other AI and tech enthusiasts at our well-established AI Meetup, bringing together the Hamburg AI scene for more than three years. Join us for the AI Mix & Mingle at Sofabar, where you can chat casually, exchange ideas, or discuss your AI projects. There are no presentations—the focus is on networking and open conversation.

While your registration is not mandatory, it is appreciated. You would make our reporting easier if you sign up on Eventbrite. But feel free to drop by spontaneously, too, to connect with us and others, build networks, and dive into interesting conversations about AI and beyond!

We are lookimg forward to seeing you there!
For any questions, comments, or feedback, please email us at: cm@aric-hamburg.de
More information on our website: [https://aric-hamburg.de/veranstaltungen/ai-mix-mingle

Institutions

• Artificial Intelligence Center Hamburg (ARIC) e.V.

The Hamburg Network for Artificial Intelligence and Law (NAIL) will host a conference on “AI, Finance & Law: Innovation, Integrity, and the Future of Markets” on 2–3 July 2026 in Hamburg, Germany, and invites paper submissions.

This in-person conference will seek to explore a broad range of regulatory issues in relation to, inter alia, the following aspects:

• How should financial markets law respond to the adoption of AI systems by financial institutions and intermediaries? What are the economic effects of AI-driven financial markets, and are there risks to market integrity, efficiency, and to market stability?
• What governance mechanisms ensure accountability, transparency, and auditability of AI in financial services? How can market supervisors and investors effectively monitor the integrity of new AI-driven market players?
• How does the EU AI Act interact with existing and upcoming financial regulatory frameworks? How does the AI Act and associated rules apply to financial-markets use-cases such as algorithmic trading, risk models, and credit scoring?
• How can regulators balance innovation, competition, and financial stability in regulating AI? What forms of legal experimentation (sandboxing, testbeds, proportionality tools) support safe AI adoption and ensure innovation? 
• What are cross-border challenges with regulating AI across the EU and globally? What can the EU learn from global regulatory models such as the US, UK, Singapore, China, and international standard setters?
• Twin Transformation: How can advances in AI be balanced with sustainable development and green finance?

The conference organizers invite papers from scholars, policymakers, and practitioners on each of these topics, and on any other topic of relevance to the conference theme. In particular, the organisers encourage the submission of papers that examine these topics from an interdisciplinary, international and/or comparative perspective.

Institutions

• Network for Artificial Intelligence and Law (NAIL)

Data science (DS) and artificial intelligence (AI) have become central to modern Economics as the discipline has shifted from theory to data and computation. Today, economists work with massive, complex datasets and study increasingly nonlinear, strategic, and dynamic systems —- areas in which Data Science, AI and Machine Learning (ML) provide powerful tools for efficiently processing high-dimensional, unstructured, and large-scale data. Data Science and AI methods improve causal inference, prediction, and forecasting. They also inspire new approaches to modeling dynamic optimization and strategic behavior.

Conversely, Economics contributes foundational ideas that shape how AI systems are designed, evaluated, and deployed. Indeed, some of the most significant concepts in contemporary AI originate from economic theory, which provides the basis for decision-making (statistical decision theory), strategic reasoning (game theory), incentive design (mechanism design), causal inference (trustworthy AI), welfare analysis (AI ethics), and behavioral modeling (human-centered AI).

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

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

We are excited to announce the Workshop on AI-Supported Research Software Engineering, an interactive event for research software engineers and scientists engaged in developing and maintaining research software in the era of AI.

Refer to this website for upcoming program details and registration.

Your orga team: Stephan Janosch, Inga Ulusoy, Mustafa Dogan, Bernadette Fritzsch, Bela Gipp, Lukas Netz, Sebastian Nielebock

Institutions

• Georg-August-Universität Göttingen