🚀 TLDR: We’re excited to see your proposals for AI World Café topics. Please create a GitHub Issue using the World Café Issue template to propose a topic that you’re passionate about and are committed to hosting the discussion.
At last year's Helmholtz AI conference (haicon24.de), we introduced the AI World Café as an interactive format fostering lively discussions within our community and with external guests. We had an intensive and fruitful discussion at 12 tables with about 120 participants. An impression about the event and key outcome summaries can be found here.
This format will again be part of HAICON25, currently scheduled for the morning of June 3, from 9 to 11 am.
❓ What Do We Need From You?
We need active participation from our Helmholtz AI Community:
- Propose an engaging topic that you’re passionate about.
- Host this discussion, sharing your insights and facilitating dialogue.
🌈 Your Role as a Host
Hosting at the World Café means you'll be:
- Leading discussions across three 20-minute rounds, offering a platform for a variety of perspectives and discussions.
- Collaboratively documenting the journey on a provided sheet to capture key insights and ideas, enriching the collective experience.
💡 Why Participate?
Your engagement is invaluable, not just for the visibility of your work within the Helmholtz AI community and beyond but as a catalyst for exploration and innovation. By participating, you:
- Showcase your work and thought leadership.
- Connect with like-minded professionals, fostering meaningful exchanges.
- Contribute to a culture of innovation within and beyond our community.
We’re excited to see your topics. Please create a GitHub Issue using the World Café Issue template.
This is more than just a conference; it's a chance to shape the future of AI research and collaboration.
Looking forward to your innovative contributions and to seeing you at the Helmholtz AI Conference.
📧 contact [email protected]
- What would you wish for from HelmholtzAI?
- How to improve the FFT seminar?
- How to improve the HelmholtzAI network, how to encourage even more exchange across research fields, centres, groups …
- What are the latest approaches to solve problem X?
- Transfer into industry and feeding back research questions into HelmholtzAI
- How to involve industry more in HelmholtzAI?
- Topics for lighthouse vouchers
- Societal topics: ethics, sustainability, equality, risks
Topics can be formulated as questions, but do not have to be. You are completely free in your choice of topic, it can be about Helmholtz AI, purely scientific topics or meta-topics. Ideally, you have a concrete result in mind that could be reported and even tracked in the next phase of H.AI, e.g., a list of recommendations or specific todos. If there are no specific results that is also fine.
| # | Host name | E-mail address | Helmholtz AI Local unit | Topic |
|---|---|---|---|---|
| 1 | Till Korten | [email protected] | HZDR | How can we obtain enough data for domain-specific multimodal foundation models? |
| 2 | Sebastian Starke | [email protected] | HZDR | Deep-learning-based approaches for survival analysis: exchange of experiences and best practices |
| 3 | Christian Schiffer | [email protected] | FZJ | Should we? - Trustworthiness and reliability of generative models for medical image analysis |
| 4 | Florian Kofler | [email protected] | HMGU | How can we improve and foster collaboration between AI consultant teams? |
| 5 | Harsh Grover | [email protected] | DKRZ | How can we effectively transition AI research innovations into practical, operational AI models that deliver tangible value? |
| 6 | Erinc Merdivan | [email protected] | HMGU | How to create AI agents for scientific research and coding? |
| 7 | Fritz Niesel | [email protected] | FZJ | Beyond Simulations: Exploring the Thrills of Industry Collaborations for AI Researchers |
| 8 | Antony Zappacosta | [email protected] | DLR | Which fields of Earth Observation stand to benefit the most from the application of Foundation Models? |
| 9 | Benjamin Schäfer | [email protected] | KIT | How should Helmholtz AI research units cooperate? |
| 10 | Vytautas Jancauskas | [email protected] | DLR | Digital Twin,what does it mean? |
| 11 | Mosaku Adeniyi | [email protected] | DKRZ | Hybrid Models: A paradigm shift from conventional AI to solving complex problems ? |
| 12 | Carolin Penke | [email protected] | FZJ/JSC | Gender and AI |