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SYSTEM ARCHITECTURE AS A MEANS
TO BUILD SMART CITIES
Prof. Claude Rochet
Claude.rochet@univ-amu.fr
IMPGT AMU CERGAM
Paris, June 24 2014
25/06/2014 cClaude Rochet 1
A smart is the result of multiple systemic
equilibria
25/06/2014
No smart cities
are alike…
… but common
building blocks
may be
identified…
… and complex
system
architecture may
define rules of
integration
©Claude Rochet
2
©Claude Rochet
Smart cities at a glance
• Macro:
o 350 trillion $ in the next 50Y: Urbanization in emerging countries +
rebuilding urban fabric in industrialized countries
o A disruptive innovation, new skills, new markets
• Meso:
o The « smartness » of the city is a political issue
o A problem solving learning process
o Who master the rules of architecting smart cities master the market
• Micro:
o Complex systems architecture as a new method and skill to be developped
and mastered
25/06/2014
3cClaude Rochet
What makes a city smart?
25/06/2014
4cClaude Rochet
Not adding « smarties »: smart
grids, smart anything….
… nor greenwashing, digital
washing…
.. But a city where one can live a
good life
It is systemic coherence
• Why the garden cities
movement failed?
• Thinking the city
either as a palliative
of the dysfunctional
city …
• … or as an ideal city
• But NOT as a living
ecosystem
25/06/2014 5cClaude Rochet
Our basic assumptions
• A smart city is not putting lipstick on a bulldog
• A smart city is an ecosystem that includes the city and its periphery
• A smart city is a city where one may live and work in:
o Economic wealth creation
o Social life
o Common weal
• A resilient architecture:
o A living system based on cooperation between public authorities, private corp., citizens
o A properly designed architecture made with off-the-shelf components
o Systemic resilience is leveraged using IT
• A sea change in firms business models and P.A.
25/06/2014 cClaude Rochet
6
Let’s set up some definitions:
• Architecture, system architecture
– The design of how basic functions
interact to give birth to a whole
that is more than the sum of the
parts
• Ecosystem:
– A system with autopoeitic properties,
that means being able to reproduce
itself
• Entropy, negentropy
– Interactions within the system make it
losing its energy and increasing
disorder (entropy), life (human life in
the case of a city) may import energy
(negative entropy or negentropy)
• Emergence:
– Many properties of a system do not
exist as a basic function or a
physical state, but are the result of
the interactions of these functions:
eg. “ageing well”, “happy life” is the
result of both physical and human
systems.
• Resilience:
– The property of a system to
withstand a shock and to recover
with stronger ability
• Green IT and IT for green
– IT is both a solution to coordination
problems that may help saving energy
(eg. Smart grids) but fabrication of IT
produce a lot of pollutants and its
functioning produce a lot of heat and
waste that need to be recycled.
25/06/2014
cClaude Rochet
7
A rationale for extended P.A. as a system
architect:
• Strategic analysis
• Inventorying the building blocks
• Integrating the ecosystem
25/06/2014
8cClaude Rochet
A rationale for extended P.A. as a system
architect:
1- Strategic analysis
25/06/2014
9
Why building a city & what
are the strategic goals?
Who are the stakeholders?
What are the generic
functions to be performed
by a smart city?
With which organs?
Technical devices,
software…
With which smart
people?
Conception,
metamodel
framework,
steering
Subsystems
and processes
People
and tools
Why designing this ecosystem?
Who will live in the city?
What are its activities?
How the city will be fed?
Where the city is located ? (context)
What are the functions to be performed to
reach the goals and how do they interact?
With which organs
and ressources?
How people will interact with the
artifacts?
How civic life will organize?
A rationale for extended P.A. as a system
architect:
2- Inventorying the “building blocks”
25/06/2014
cClaude Rochet
10
Issues
• Defining “smartness”
and “sustainability”
• Wealth creation
• Finance and taxes
• Controlling pollution
• Equilibrium center –
periphery
• Migrations
• Poverty
• Education
• Health
• Crime
• Segregation (social and
spatial)
• Leisure
• Quality of life
• How people interact
with people and
artifacts?
Resources
• Work
• Budgeting
• Transportation
• Feeding
• Caring
• Protecting
• Securing
• Housing policy
• Education
• Leisure
• Social benefits
• Health care system
• Migrations control
Functions
• Energy
• Water
• Data
• Digital Systems
• Traditions
• Sociology
• Technologies as
enablers and enacters
• Culture and traditions
• Institutions and public
organizations
• Process modeling
• Software
• Tech providers
• Open innovation
Capabilities
• The New Business
Models:
• Public
• Private
• Project management
• Institutional
arrangements
• The day to day decision
making process in an
evolutionary
perspective
• Empowerment
• Direct democracy
• Government
• Governance
• Project management
• Social innovation
• The state as a system
engineer
• Mastering ULM
25/06/2014 cClaude Rochet 11
A rationale for extended P.A. as a system
architect
3- Integration of the building blocks
Soft domains
Hard
domains
SMART city
TransportationIndustry
WorkHousing
Sanitation
EnergyWater
Waste recycling
Public services Health care
Civic life Leisure
Education
Social
integration
GovernmentEconomy
Institutional
scaffolding
Social life
Periphery
Commercial
exchanges
Food
City
Territory
Concepts and
tools of systemic
integration
Smart
territoryIndustry
Smart
cities
Social intelligence
(Dedijer)
Valuing as well material
and immaterial assets
(Milieu innovateur,
Aydalot)
Coopetitive innovation
ecosystem
Integrating smart city and smart territory
25/06/2014 cClaude Rochet 12
Combining top down and bottom up
Smart territory
Milieu innovateur
Functional
integration
Self governing
capabilities
• Understanding the context and
defining a strategic vision
• Declining it in combining hard
and soft domains.
• Toward an integrative
and integrated extended
administration
Smart administation
25/06/2014
cClaude Rochet
13
A tool to design and monitor the
ecosystem: ULM (Urban Lifecycle
Management©)
25/06/2014 cClaude Rochet
14
Maturityofecosystemicproperties
Development
From history,
social intelligence,
idea, to framework
Integrating off-the-
shelves innovation
Functional
integration
Technical
integration
Designing the
engineering
ecosystem
Project
managemen
t
City 1.0
Gathering data
and understanding
ecosystem
evolution
Evaluating,
correcting and
upgrading
Sustainable
City 1.0
Integrating
innovation
City 2.0
Risk of collapse
Unlike a product or a
company, a city never
dies, even if not
sustainable (except in a
case of collapse)
Losing ecosystemic properties
Permanent
improvement
Financial
governance
Socio political
cycle
Innovation
cycle
Preliminary conclusion: designing and
governing smart cities is a political problem
• Let’s refer to Vincent and Elinor Ostrom:
o No one best way for all levels of action: Polycentric governance
o Uncertainty, conflicts, bargaining are at the heart of administrative life
o Politics : “ the practical processes through which communities act to
identify and solve their common problems and to realize shared
opportunities”
o A good P.A tend to reach self-governance
o P.A. has to integrate complex system science
• Smart cities => smart government and political life
• A view of P.A coherent with system architecture!
25/06/2014
15
25/06/2014
Common good
Vivere politico
Economic good
Private good
Smart government is the keystone of smart
cities and was formalized at the
Renaissance
A strong correlation
between top down…
… and bottom up
dynamics
Common
good
16
Extended P.A as an integration of disciplines
25/06/2014
17
Levelsofcomplexity
City
Functions
Citizens
Complex systems
engineering
Extended P.A Political philosophy
Complex
system
modeling
Interaction
and
synergies
Social
networks
and
interactions
Overlaps and
interactions
Common good as
an emergence and
structuring finality
Ends and means of
wealth creation
Vivere politico
Polycentric
Govce
Extended public administration: What are
we speaking about?
25/06/2014
18cClaude Rochet
Input Process Output
P.A. legally speaking
Obje
ctives
Outcome Outcome Outcome
Extended value chain
Look simple? In real life outcomes are not aligned and are embedded in
interconnected and overlapping heterogeneous systems
This needs complex system mapping and understanding
intertwined causes and effects relationships.

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SYSTEM ARCHITECTURE AS A MEANS TO BUILD SMART CITIES

  • 1. SYSTEM ARCHITECTURE AS A MEANS TO BUILD SMART CITIES Prof. Claude Rochet Claude.rochet@univ-amu.fr IMPGT AMU CERGAM Paris, June 24 2014 25/06/2014 cClaude Rochet 1
  • 2. A smart is the result of multiple systemic equilibria 25/06/2014 No smart cities are alike… … but common building blocks may be identified… … and complex system architecture may define rules of integration ©Claude Rochet 2 ©Claude Rochet
  • 3. Smart cities at a glance • Macro: o 350 trillion $ in the next 50Y: Urbanization in emerging countries + rebuilding urban fabric in industrialized countries o A disruptive innovation, new skills, new markets • Meso: o The « smartness » of the city is a political issue o A problem solving learning process o Who master the rules of architecting smart cities master the market • Micro: o Complex systems architecture as a new method and skill to be developped and mastered 25/06/2014 3cClaude Rochet
  • 4. What makes a city smart? 25/06/2014 4cClaude Rochet Not adding « smarties »: smart grids, smart anything…. … nor greenwashing, digital washing… .. But a city where one can live a good life
  • 5. It is systemic coherence • Why the garden cities movement failed? • Thinking the city either as a palliative of the dysfunctional city … • … or as an ideal city • But NOT as a living ecosystem 25/06/2014 5cClaude Rochet
  • 6. Our basic assumptions • A smart city is not putting lipstick on a bulldog • A smart city is an ecosystem that includes the city and its periphery • A smart city is a city where one may live and work in: o Economic wealth creation o Social life o Common weal • A resilient architecture: o A living system based on cooperation between public authorities, private corp., citizens o A properly designed architecture made with off-the-shelf components o Systemic resilience is leveraged using IT • A sea change in firms business models and P.A. 25/06/2014 cClaude Rochet 6
  • 7. Let’s set up some definitions: • Architecture, system architecture – The design of how basic functions interact to give birth to a whole that is more than the sum of the parts • Ecosystem: – A system with autopoeitic properties, that means being able to reproduce itself • Entropy, negentropy – Interactions within the system make it losing its energy and increasing disorder (entropy), life (human life in the case of a city) may import energy (negative entropy or negentropy) • Emergence: – Many properties of a system do not exist as a basic function or a physical state, but are the result of the interactions of these functions: eg. “ageing well”, “happy life” is the result of both physical and human systems. • Resilience: – The property of a system to withstand a shock and to recover with stronger ability • Green IT and IT for green – IT is both a solution to coordination problems that may help saving energy (eg. Smart grids) but fabrication of IT produce a lot of pollutants and its functioning produce a lot of heat and waste that need to be recycled. 25/06/2014 cClaude Rochet 7
  • 8. A rationale for extended P.A. as a system architect: • Strategic analysis • Inventorying the building blocks • Integrating the ecosystem 25/06/2014 8cClaude Rochet
  • 9. A rationale for extended P.A. as a system architect: 1- Strategic analysis 25/06/2014 9 Why building a city & what are the strategic goals? Who are the stakeholders? What are the generic functions to be performed by a smart city? With which organs? Technical devices, software… With which smart people? Conception, metamodel framework, steering Subsystems and processes People and tools Why designing this ecosystem? Who will live in the city? What are its activities? How the city will be fed? Where the city is located ? (context) What are the functions to be performed to reach the goals and how do they interact? With which organs and ressources? How people will interact with the artifacts? How civic life will organize?
  • 10. A rationale for extended P.A. as a system architect: 2- Inventorying the “building blocks” 25/06/2014 cClaude Rochet 10 Issues • Defining “smartness” and “sustainability” • Wealth creation • Finance and taxes • Controlling pollution • Equilibrium center – periphery • Migrations • Poverty • Education • Health • Crime • Segregation (social and spatial) • Leisure • Quality of life • How people interact with people and artifacts? Resources • Work • Budgeting • Transportation • Feeding • Caring • Protecting • Securing • Housing policy • Education • Leisure • Social benefits • Health care system • Migrations control Functions • Energy • Water • Data • Digital Systems • Traditions • Sociology • Technologies as enablers and enacters • Culture and traditions • Institutions and public organizations • Process modeling • Software • Tech providers • Open innovation Capabilities • The New Business Models: • Public • Private • Project management • Institutional arrangements • The day to day decision making process in an evolutionary perspective • Empowerment • Direct democracy • Government • Governance • Project management • Social innovation • The state as a system engineer • Mastering ULM
  • 11. 25/06/2014 cClaude Rochet 11 A rationale for extended P.A. as a system architect 3- Integration of the building blocks Soft domains Hard domains SMART city TransportationIndustry WorkHousing Sanitation EnergyWater Waste recycling Public services Health care Civic life Leisure Education Social integration GovernmentEconomy Institutional scaffolding Social life Periphery Commercial exchanges Food City Territory
  • 12. Concepts and tools of systemic integration Smart territoryIndustry Smart cities Social intelligence (Dedijer) Valuing as well material and immaterial assets (Milieu innovateur, Aydalot) Coopetitive innovation ecosystem Integrating smart city and smart territory 25/06/2014 cClaude Rochet 12
  • 13. Combining top down and bottom up Smart territory Milieu innovateur Functional integration Self governing capabilities • Understanding the context and defining a strategic vision • Declining it in combining hard and soft domains. • Toward an integrative and integrated extended administration Smart administation 25/06/2014 cClaude Rochet 13
  • 14. A tool to design and monitor the ecosystem: ULM (Urban Lifecycle Management©) 25/06/2014 cClaude Rochet 14 Maturityofecosystemicproperties Development From history, social intelligence, idea, to framework Integrating off-the- shelves innovation Functional integration Technical integration Designing the engineering ecosystem Project managemen t City 1.0 Gathering data and understanding ecosystem evolution Evaluating, correcting and upgrading Sustainable City 1.0 Integrating innovation City 2.0 Risk of collapse Unlike a product or a company, a city never dies, even if not sustainable (except in a case of collapse) Losing ecosystemic properties Permanent improvement Financial governance Socio political cycle Innovation cycle
  • 15. Preliminary conclusion: designing and governing smart cities is a political problem • Let’s refer to Vincent and Elinor Ostrom: o No one best way for all levels of action: Polycentric governance o Uncertainty, conflicts, bargaining are at the heart of administrative life o Politics : “ the practical processes through which communities act to identify and solve their common problems and to realize shared opportunities” o A good P.A tend to reach self-governance o P.A. has to integrate complex system science • Smart cities => smart government and political life • A view of P.A coherent with system architecture! 25/06/2014 15
  • 16. 25/06/2014 Common good Vivere politico Economic good Private good Smart government is the keystone of smart cities and was formalized at the Renaissance A strong correlation between top down… … and bottom up dynamics Common good 16
  • 17. Extended P.A as an integration of disciplines 25/06/2014 17 Levelsofcomplexity City Functions Citizens Complex systems engineering Extended P.A Political philosophy Complex system modeling Interaction and synergies Social networks and interactions Overlaps and interactions Common good as an emergence and structuring finality Ends and means of wealth creation Vivere politico Polycentric Govce
  • 18. Extended public administration: What are we speaking about? 25/06/2014 18cClaude Rochet Input Process Output P.A. legally speaking Obje ctives Outcome Outcome Outcome Extended value chain Look simple? In real life outcomes are not aligned and are embedded in interconnected and overlapping heterogeneous systems This needs complex system mapping and understanding intertwined causes and effects relationships.