Data, Cities, APIs, Humans Daniel Sarasa Funes, Urban Innovation Planner at Zaragoza City Hall

1. Daniel Sarasa Funes
Zaragoza City Hall
EUROCITIES’ Data WG Chair
dsarasa@zaragoza.es
Openyourcity.com
Paris – Dec, 11th 2019
Data, Cities, APIs, Humans

2. Open
data,
big
data...
dark
data
PPP Transparency (data,AI,...)

3. 200
Public
open data Billion €
Private
open data 3~5 Trillion $
Public Asset – Common Good

4. •
Citizen data as a public
asset
•
Public Value (i.e. for
the common good)
•
Citizens as data
custodians
•
Protection of privacy
•
Transparency and
accountability
The Citizen Data Principles, by Eurocities
•
Data and knowledge
sharing and governance
•
Interoperability
•
Quality
•
Ethical and social
responsibility
•
City Halls as connectors
& the role of urban labs

5. problem data
co-creation
solution
ideas

6. Citizens as data custodians

7. Real anonimity
and privacy

8. This open source battle might not be
easy, but “open” is the way it must be.
Former Mayor J.A. Belloch on “Wired”
magazine, 2003

9. Data vs. Knowledge Sharing

10. Quality & Interoperability

11. Ethics and social

12. + democratic “bugs”

13. 3 formas de construir la 'smart city'3 formas de construir la 'smart city'What cities could add to big data

14. Building the “Hubble” of Cities

15. Open Urban Lab - Human API
R&D Lab of the “open source smart city”

16. •
Eindhoven & Amber
Mobility Data Sharing
agreement
•
BCN Open Data Challenge
& DECODE
•
Tim Berners Lee’s Inrupt
•
Zaragoza’s Periscope
Practical examples
•
Florence’s Data Hub
•
Helsinki’s My Data
•
Amsterdam’s Tada
Manifesto
•
Athens’ Vision
•
…
•
More coming soon
(UIA)...

17. Zaragoza’s Periscope
Based on “A guideline for a public-
private partnership on urban big data
sharing”
https://openyourcity.com/wp-
content/uploads/2018/09/GuidelinesUrban
BigDataSharing.pdf
Daniel Sarasa Funes
Polytechnic University of Madrid (UPM)
University of Florida (USA)

18. 3 formas de construir la 'smart city'3 formas de construir la 'smart city'Big data 'Urban' big data
Collection / recording
Extraction / cleaning
Integration / Aggregation
Representation
Analysis / Modeling
Interpretation
“4xV's”
Questioning
Learning
Governance
Citizenship
“Data whose handling
or analysis sets the
organization out of its
comfort zone”

19. Anonymation and Moore's Law
M.I.T.'s research: given just the time
stamp and location of 4 payment records
for the same user, then P(you)=0.9

20. User consent for data sharing
Nest & Google
Smartcitizen.me
Sanger institute
Dwork's differential privacy
Live with privacy breaches

21. 3 formas de construir la 'smart city'3 formas de construir la 'smart city'Stabilizing cooperation: Nash equilibrium
Set (all estrategies) to {Cooperation}
regulation
incentives

22. the next frontier in urban innovation
Sharing big data...

23. 40 proposals
7 prototypes
funded
+500
crowdfunders
+50.000 EUR
raised
facilitating local 'urban'
innovation
Minimum Viable Products - Prototypes

24. “The Commons” is on the other
side of the data divide

26. More at...
etopia.es
openurbanlab.es
openyourcity.com