Learning objectives:

1. To identify the problem/solution space when designing a digital twin, including the interface between digital and human (sensing/IOT and dashboard design).

2. To explain key User Experience (UX) concepts and understand their application to their specific case.

3. To collect, transform, and organize field data through sensors, including basics of data visualization and understanding the implications on their specific case.

4. To outline a feasible plan (time and resource-wise) for prototyping at least one aspect of the digital twin in the context of their specific cases.

5. To create a corresponding digital twin model with a fully functional interaction and identify/reflect the fit between field data and computational model/simulation.

6. To explain and justify the design decisions (in consultation with challenge owners).

7. To present their solution/ design/ analysis effectively and convincingly to the stakeholders.

8. To reflect on personal and team development, particularly growth from Q1 to Q2.

Meet the team