Data-driven critical service systems
The availability of data motivates the construction of mathematical models of flows (customers and providers) passing through service systems such as hospitals.
These models provide insight on potential congestion problems, bottlenecks, and the impact of capacity sizing rules. For example, an important dual goal is to have customers not wait long for service, and to have providers not wait long for customers (high resource efficiency).
More generally, the goal is to improve the design of services based on the analysis of data-driven mathematical models.
When & Where
Data Science Center Eindhoven
The Data Science Center Eindhoven (DSC/e) is TU/e’s response to the growing volume and importance of data. 90% of the data in the world today has been created in the last two years alone and the world's data will grow by 50 times in the next 10 years.
Moreover, human and organizational activities are intertwined with the digital universe. Therefore, data science is growing in importance and becoming an integral part of different types of engineering and scientific research.