Tips and tricks on measurement strategies for smart citizens - May 9, 2016 - EID Rio de Janeiro

1. Measurement Strategies
May 9, 2016
Rio de Janeiro
#ResilientRio

2. • Personal interest
• Raising awareness
• Open data city policy
• Activism
• Gain knowledge
• Concerns
• For fun
Why measure?

3. Experience in Amsterdam

4. Topics & Scenarios

5. Amsterdam
Smart Citizen
project

6. Smart Citizen Kit

7. Reasons to join the project
Other
7%
Social experiment
18%
Technology
20%
Air polution
55%
Interview results prior to participation:

8. Biggest hurdles
Other
7%
Social experiment
18%
Technology
20%
Air polution
55%
CO/NO2
sensornetwerk
website

9. Lessons learned
• Sensitivity / Specificity
• Location
• Sample rate
• Open Hardware
• Affordability
• How to involve others
• Calibration
• Comparison
• Dependencies
• Think non-sensor too
• What other resources do we have?
• Data is story telling

10. Sensitivity / Specificity

11. Location

12. Sample rate

13. If you can’t open it…

14. Different ways to achieve the same goal
Instructables
PublicLab http://www.cs.cmu.edu/~zhuxj/astro/html/spectrometer.html

15. Affordable
K30 CO2 sensorGroove Air Quality Sensor

16. How can others help?

17. Calibration
https://en.wikipedia.org/wiki/Calibration_curve

18. Comparison
http://citydashboard.waag.org/

19. Dependencies
DHT11 - Temperature Humidity sensor

20. Think non-sensor

21. Similar projects?
http://datacanvas.org/sense-your-city/

22. What other resources do you have?
• Knowledge of citizens
• Official measuring institutes
• Historical data

23. Resource: WHO
http://www.who.int/topics/environmental_pollution/en/

24. Resource: SMAC
http://www.rio.rj.gov.br/web/smac#

25. Resource: crowd sensing
https://www.waag.org/nl/project/making-sense

26. • scistarter.com
Platforms

27. Data is story telling!

28. Be creative!
http://genomicgastronomy.com/work/2011-2/smog-tasting/

29. Do’s
• Sensitivity / Specificity: choose the right sensor
• Location: pick a stable environment
• Sample rate: measure often enough
• Open Hardware: make something hackable
• Affordability: enable others to join in
• How to involve others: enable others to join in
• Calibration: expose the sensor to extremes
• Comparison: compare with other sources
• Dependencies: measure secondary factors too
• Think non-sensor too: use the wisdom of the crowd
• Data is story telling: make data meaningful

30. Iterative hacking process
Waag Society - CC-BY-SA 3.0

31. These slides are
licensed under
CC - BY - SA 3.0