Learning objectives Part B

What you will learn in part B of the course  (module 3 and 4) is:

  • The key elemenst of  complexity theory (like uncertainty, emergent  and unexpected behavior) and its importance for understanding complex problems.
  •  The implications for governance and decision making in such an environment.
  • The process of  translating  public values in regulation  and underlying problems: what are the pitfalls?
  • The main conditions for effective regulation of infrastructures  and what might go wrong.
  • Some practical tools to enhance your managerial and decision making skills when dealing with complex problems.

Content module 3

This week is all about complexity theory . This will be done by one of the leading experts in this field: Eve Midleton Kelly from the London school of Economics.

A complex system is defined as one in which many independent agents interact with each other in multiple (sometimes infinite) ways. This variety of actors also allows for the ‘spontaneous self-organization‘ that sometimes takes place in a system. This self-organization occurs without anyone being in charge or planning the organization. Rather, it is more a result of organisms/agents constantly adapting to each other. The complex systems are also adaptive (i.e., they always adapt in a way that benefits them).

Another important concept in complexity theory is that there is no master controller of any system.

In short, we have to deal with a lot of uncertainty and  many actors with different interests. In module  4 we will explain the huge implications in terms of governance and decision making (with a focus on infrastructures). We will discuss  some pratical tools to deal with such situations!

After the web lectures in this module you will understand the picture below.

New Generation Infrastructures
Back to top