1. Smart Cities – Open Research Challenges Jonathan Wareham ESADE Business School

2. 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)?

3. Innovation – Classic Responses
Necessity
War
Play
Basic Science & Engineering
Serendipity & Error
Users & Communities
Technology Innovations
Socially Defined Innovations & Negotiated Meanings

4. Innovation – Classic Responses
Users
Institutions

5. Chaotic or Ordered? The middle ground : What we know
What we do not know…
Emergent, yet governed
Semi-deterministic

6. 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????

7. 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

8. 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

9. Social Meanings

10. Example: The play radiator

11. Examples
Jaga Oxygen : controling the moisture and oxigen in the house
Future: Wearable heating

12. 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