The document discusses open data for smart cities, with a presentation by Thimo Thoeye on open data for smart citizens from the city of Ghent on October 14th in Brussels. The presentation discusses why cities open data to empower citizens to solve their own problems, make informed decisions, and enable co-creation of policy. Examples provided include open parking data and air pollution data from citizen science projects. Questions are raised about how to avoid misuse of data and misinterpretation of results from citizen projects.

1. Open data for Smart Cities
EUROCITIES
Innovating cities with nature
October 14th
Brussels
Thimo Thoeye
Stad Gent
thimo.thoeye@stad.gent
@tthoeye

2. Open data for Smart Cities
EUROCITIES
Innovating cities with nature
October 14th
Brussels
Thimo Thoeye
Stad Gent
thimo.thoeye@stad.gent
@tthoeye
image: European Young Innovators Forum

3. Open data for Smart Cities
EUROCITIES
Innovating cities with nature
October 14th
Brussels
Thimo Thoeye
Stad Gent
thimo.thoeye@stad.gent
@tthoeye
image: European Young Innovators Forum

4. Open data for Smart Citizens
EUROCITIES
Innovating cities with nature
October 14th
Brussels
Thimo Thoeye
Stad Gent
thimo.thoeye@stad.gent
@tthoeye
image: Beeldbank Gent

5. Why do we open data?

6. Why do we open data?
APPS

7. Why do we open data?
To empower and inspire Smart Citizens to
collaboratively solve their own problems

8. Why do we open data?
To empower and inspire Smart Citizens to
collaboratively solve their own problems
To allow Smart Citizens to make informed decisions

9. Why do we open data?
To empower and inspire Smart Citizens to
collaboratively solve their own problems
To allow Smart Citizens to make informed decisions
To enable the co-creation of policy in a data-driven
way

10. Case: Parking

11. Case: Parking
image: Panoramio, Peter Maes

12. Case: Parking
image: Panoramio, Peter Maes

13. Case: Parking
Focus group (“data dive”) with developers, data
providers, civil servants, inhabitants

14. Case: Parking
Focus group (“data dive”) with developers, data
providers, civil servants, inhabitants
Defining a “parking route”

15. Case: Parking
Focus group (“data dive”) with developers, data
providers, civil servants, inhabitants
Defining a “parking route”
Publishing a set of waypoints to follow as a part of
the parking API

16. Q: How to avoid data “misuse” and implement
policies on top of open data?

17. Case: Air pollution data
image: Atmosys.eu

18. Case: Air pollution data
A local group of makers wants to design
portable air quality monitors

19. Case: Air pollution data
A local group of makers wants to design
portable air quality monitors
Off-the-shelf (cheap) sensors provide very
rough measurements

20. Case: Air pollution data
A local group of makers wants to design
portable air quality monitors
Off-the-shelf (cheap) sensors provide very
rough measurements
How to calibrate and align with official figures

21. Q: How to support citizen science projects and avoid
data misinterpretation

22. Case: The Things Network

23. Case: The Things Network
IoT provides tremendous opportunities for new
personalized services

24. Case: The Things Network
IoT provides tremendous opportunities for new
personalized services
The Things Network provides a bottom-up crowd-
sourced way of installing a LoRaWAN

25. Case: The Things Network
IoT provides tremendous opportunities for new
personalized services
The Things Network provides a bottom-up crowd-
sourced way of installing a LoRaWAN
Does additional radiation pose new health risks?

26. Case: The Things Network
IoT provides tremendous opportunities for new
personalized services
The Things Network provides a bottom-up crowd-
sourced way of installing a LoRaWAN
Does additional radiation pose new health risks?

27. Q: to what degree should City Hall interfere with
crowd-sourced connectivity initiatives