Smart Cities

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Smart Cities Open Research ChallengesJonathan
WarehamESADE Business School
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Innovation Classic Questions

• Where does it come from (supply)?
• Who consumes it (demand)?
• How do we identify innovation opportunity (search
  selection)?
• Can innovation be managed cultivated?
• How do we move from idea-to-market (value
  appropriation)?

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Innovation Classic Responses

• Necessity
• War
• Play
• Basic Science Engineering
• Serendipity Error
• Users Communities
• Technology Innovations
• Socially Defined Innovations Negotiated
  Meanings

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Innovation Classic Responses
Users
Institutions
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Chaotic or Ordered?

• The middle ground
• What we know
• What we do not know

Emergent, yet governed Semi-deterministic
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Smart Cities

• Problems
• Environmental sustainability
• Increasing urban populations
• Observation
• Municipal, regional and federal governments
  collect massive amounts of data largest data
  repositories in the world.
• Question
• What to do with it all????

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Smart Cities

• Answer
• Bring Open Source logic to the problem
• Let 1,000 flowers grow
• Premises
• Many sensor technologies exist
• Many citizens carry powerful mobile computing
  devices
• Points of Interest Tension
• Operational Questions
• Social Meanings
• Transparency

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Operational Challenges

• Critical Mass and Incentives Open Source, Open
  Science, Combinatorics
• Intrinsic and Extrinsic Motivations
  Competitions, Reputational Economies, Prizes and
  Financial Compensation
• Seeding and Indirect Network Effects
• Filtering and Closure

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Social Meanings
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Example The play radiator
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Examples

• Jaga Oxygen controling the moisture and oxigen
  in the house
• Future Wearable heating

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Transparency

• Question
• How much transparency serves the social good?
• Old question new manifestations
• Premises
• Crime data in real time
• Performance of public schools
• Performance of public health system

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