Kiez of Computing and Data Science

Events

Monday, May 12th - 16th, 2025 | several times

Hamburg Node of the Digital Earths Global Hackathon

Bundesstr. 53, 20146 Hamburg

The Hamburg Node of the Digital Earths Global Hackathon is part of the World Climate Research Programme (WCRP) Global km-Scale Hackathon, an initiative designed to advance the analysis and development of high-resolution Earth-system models.

The Hamburg event, taking place from May 12 to 16, 2025, will gather participants to collaborate on hacking, bug-fixing, and learning in a dynamic, hands-on environment. This hackathon is part of the larger WCRP effort to push the boundaries of climate system modeling and digital innovation globally.

For more details about the global hackathon and its objectives, please visit the official WCRP event page.

Registration closes on April 21, 2025 and a registration fee of 150€ is asked. Quicklink to external registration website

Program Rough agenda (A detailed program will be shared closer to the event)

Institutions

Max-Planck-Insitut für Meteorologie

Tags network hub, climate modelling, earth system, climate, network science, climate research

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Monday, July 28th - Thursday, August 7th, 2025 | several times

hpc4climate Summer School 2025

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

Academic Programme:

Invited professors and computational scientists from partner institutions contribute to a 10-day programme of 60+ hours of lectures and hands-on exercises, covering two main themes: climate modelling and modern scientific computing, which span over a variety of topics: here

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)

Tags high performance computing, climate observations, software engineering, climate, data analytics, climate research

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Thursday, May 15th, 2025 | 15:00 - 16:30 p.m.

Powering the future: Funding and sustaining Al for humanitarian impact

online

As AI projects gain traction in the humanitarian sector, securing their funding and long-term sustainability remains a critical challenge. This session explores how AI initiatives can align with the SDGs and address pressing climate concerns, while also examining innovative funding models and cross-sector partnerships. From philanthropic investments to public-private collaborations, join us to uncover strategies for ensuring AI projects not only launch successfully but also endure to create lasting, scalable impact in humanitarian efforts. Participants will gain insights into best practices for funding AI projects and explore case studies showcasing successful funding models and partnerships.

Key Learning Objectives:

Identify the key challenges in funding and sustaining AI projects in the humanitarian sector.
Analyze innovative funding models and cross-sector partnerships for AI projects.
Evaluate the long-term sustainability of AI projects through various funding strategies.
Develop strategies for securing funding and ensuring the scalability of AI projects in humanitarian efforts.

Target Audience: This event is designed for humanitarian workers at all levels, policymakers, academics, data specialists, communication specialists, and technology experts who are involved in crisis response and interested in the ethical use of AI.

Prerequisites: No prerequisite knowledge is required. Basic understanding of AI and humanitarian principles is recommended.

Institution

AI for Good

Tags climate, ai, funding and long-term sustainability, ai projects gain traction in the humanitarian sector