About

Within the EU-funded TwinODIS project, this compact four-day school offers an intensive sequence of expert keynote lectures and tutorial sessions to equip participants with a rigorous understanding of how Responsible Data Science, Artificial Intelligence and Operations Research combine to build trustworthy Decision Intelligence Systems for public value (energy, transportation, climate resilience)

• Artificial intelligence and decision making

• High-dimensional vector similarity search

• Computational argumentation

• Probabilistic forecasting

• Explainable optimization

• Large time series analytics and anomaly detection

• Causality networks

• Data-driven optimization in energy systems

Registration is free but mandatory due to limited places. Check the Registration page for more details.

Application form

• Advanced undergraduate, graduate & doctoral students

• Early-career researchers

• Practitioners in AI, Data Science, OR

• On-site event with expert-led presentations

• Certificate of attendance (upon ≥ 80% attendance of the programme)