This document discusses smart governance of complex systems and megacities. It covers 4 topics: 1) governing complex systems, which involves dealing with uncertainty and self-reference within complex adaptive systems, 2) coping with uncertainty through understanding different types and levels of complexity, 3) building competencies such as knowledge sharing networks and developing economic complexity, and 4) achieving resilience through continuous adaptation, learning, and systemic intelligence across organizations. The overall message is that smart governance of complex issues like megacities requires approaches that can manage uncertainty, build skills and knowledge, and continuously adapt to change.

1. Smart Governance
Complexity and the Megacity
Prof. Dr. Helmut Willke
Zeppelin University
Friedrichshafen, Germany

2. Agenda
1.
2.
3.
4.
Governing complex systems
Coping with uncertainty
Building competencies
Achieving resilience

3. Part 1
GOVERNING COMPLEX SYSTEMS

4. Trivial system
input
Linear
Serial
Computable
output
4

5. Complex system
Self-reference
Who am I?
Cognition pattern
System memory
What is my
interest?
Identity
5

6. Why interventions fail
Surface
surface
Rationality 1
Intervention 1
Explanation 1
Deep-
Explanation 2
Intervention X
Explanation Z
Effect 1
structure
Effect Y
6

7. Models of governing complex systems
Control and cohesion
Hierarchy
Apathy from below
Guided autonomy
Decentral coordination
Alliances and PPPs
Hybrid
Flat hierarchies
Contextual guidance
Matrix organization
Active
Network
Lacking compliance
Hybrid
Market
Indivdualistic
syndrome
Involvement and autonomy

8. Part 2
COPING WITH UNCERTAINTY

9. Types of complexity
Source: [Snowden, 2004 #2544]: 144

10. Complexity: Network of twitter-conversations (1 hour)
10
Quelle: http://blog.socialflow.com/post/7120243870/audience-study

11. Knowns and unknowns
11

12. Risk interconnection map 2009
Source:
WEF 2009: 6

13. Levels of pre-intervention inquiry
Surface
1.Order
observing
Deep structure
Deep structure
2. Order
observing
Complex
causation
Paradigm level
Paradigm level
Paradigm level
What are we
talking about?
What is the
system?
What is driving
the system?

14. Part 3
BUILDING COMPETENCIES

15. Architecture of knowledge
Data
Basic
Coded
Operati Observatio
ns
on
Numbers
Restrictexts
tions
pictures
challen
ge
innovative
hybrid
forms
Information Knowledge
Capabilities
Systemicly
relevant
data
Information
embedded in
fields of practice
Patterns of knowledge
composing action
fields
Information is
system specific
Community
of practice
Time for practice
Information
transfer
Knowledge
sharing
Specialization
Differentiation

16. Economic complexity index: the product space
computer
garments
aircrraft
chemicals
machinery
construction
Source: Hausmann, Ricardo, and Cesar et al Hidalgo. 2011. The Atlas of Economic Complexity: 45

17. Economic complexity index: Poland
Source: Hausmann, Ricardo, and Cesar et al Hidalgo. 2011. The Atlas of Economic Complexity: 280

18. Part 4
RESILIENCE

19. The concept of resilience
Resilience is not about responding to a one-time crisis.
It is not about rebounding from a setback.
It is about continuously anticipating - and adjusting to
- ongoing contextual transformations.
Resilience means the capacity to change before the
case for change becomes desperate.
Source: Hamel/Välikangas 2003

20. RESILIENCE IN CHILDREN
20

21. Systemic resilience
Systemic
intelligence
Learning
Organization
Systemic
resilience
Systemic
management
21