As our community grows, we’d love to better understand what you hope to gain from being part of the AIR group and how we can make this space most valuable for everyone.
In our preliminary survey, here’s what members said they’re most interested in:
| Activity | Interest Level (Responses) |
|---|---|
| 🧭 Best-Practices Guides: Written tutorials on model selection, evaluation metrics, ethical considerations, etc. | 7 |
| 🤖 LLM Workshops & Demos: Hands-on sessions on using large language models (ChatGPT, Bard, etc.) for literature review, code generation, data summarization | 7 |
| 💻 Code & Model Libraries: Curated repositories of example scripts, pre-trained models, and reproducible pipelines | 4 |
| 💬 Community Forum: Online discussion board or Slack channel for Q&A and resource sharing | 4 |
| 📊 Data Sharing Platform: Centralized access to resilience-focused datasets with documentation | 2 |
| ⚙️ Evaluation & Benchmarking Services: Support for testing and comparing algorithms on your data | 2 |
| 🕐 Office / Drop-In Hours: Open sessions for troubleshooting or methodology questions | 1 |
| 🤝 Peer Mentorship Program: Pairing with experienced AI-in-resilience researchers | 1 |
Now we’d like to hear your perspective:
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Which of these activities would be most valuable for you personally or professionally?
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Are there other ideas you’d like to see this group explore?
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Would you be interested in helping lead or contribute to any of these initiatives?
Please share your thoughts below. Short or long replies are welcome!
Your feedback will guide our next round of programming and collaboration opportunities.
Let’s co-create a space that supports learning, sharing, and real-world impact in responsible AI and resilience. 🌱🤖