Open Source Science: Agents in Science

Join us for the inaugural Open Source Science Dublin meetup, where cutting-edge scientific research meets open-source technology, AI, and cloud-native infrastructure.
Expect technical deep dives, cross-disciplinary conversations, and (of course) pizza 🍕.

For our first event, we’re exploring one of the most exciting frontiers today: agentic systems for scientific discovery, and how autonomous and semi-autonomous AI systems are transforming the way research is conducted, validated, and scaled.
You’ll see real-world systems in action, hear from both applied and research perspectives, and walk away with a clearer picture of how agents are moving from hype to scientific infrastructure.
We thank PyData Ireland and Trinity College Dublin OSPO for being our community partners for this event.

Talks
Accelerated Knowledge Discovery at NASA: Building an Agentic AI Research Companion
A practical look at NASA’s AKD platform: a chat-driven frontend orchestrating a multi-agent backend (planner + literature/data/code search) to turn questions into traceable, end-to-end scientific research—faster, more systematic, and with human oversight.
Production-Ready AI Agents: Containerization, Sandboxes, and the LangChain Stack
Building secure, scalable AI agents for industrial time series analysis using isolated code execution, LangGraph for agent orchestration, and FastAPI for production deployment—bridging foundation models and real-world maintenance workflows.
Science in the Agentic Era: Structured Experimentation with ado
A research-first framework for agent-assisted discovery: ado encodes the problem space and experimental plan as schemas, enabling agents to propose and refine studies while keeping every run transparent, reproducible, and scientifically auditable.