GIS for intelligent cities of the future - Geospatial World Forum 2013 - Can “crowdsourced” data augment authoritative datasets in local communities? - Raf Buyle, e-government strategy - Flemish Organization for ICT in Local Government

1. City intelligence | “crowdsourced” data
GIS for intelligent cities
of the future
Can “crowdsourced” data augment authoritative
datasets in local communities?
Raf Buyle, e-government strategy
Flemish Organization for ICT in Local Government
Geospatial World Forum 2013

2. City intelligence | “crowdsourced” data
V-ICT-OR, an NPO
@ the crossroads
local government,
central government,
private sector and
the citizen

3. City intelligence | “crowdsourced” data
V-ICT-OR, an NPO @
the crossroads
active in Flanders

4. City intelligence | “crowdsourced” data
The parish Board of
Guardians #localGov
the first to take an
action, based on city
geo-intelligence

5. City intelligence | “crowdsourced” data
concentration of the dead’s as
black bars at each address.
#cholera #London #JohnSnow

6. City intelligence | “crowdsourced” data
The parish Board of Guardians, removed the
handles of the pumps, the ever first to take
an action, based on city intelligence
#1866
#cityIntelligence
#localGov
#removedHandles

7. City intelligence | “crowdsourced” data
#2013 #GIS
should rather be
problem oriented,
reflecting the needs
of the local people
So what have we learned the past 147 years?

8. City intelligence | “crowdsourced” data
Volunteered
geographic
information
not merely
about
gathering the
data of
amateurs
Neogeo / VGI? A conversation with
Goodchild and Turner http://bit.ly/gwf-vgi

9. City intelligence | “crowdsourced” data
important
bottlenecks which
currently avoid the
major breakthrough
How can we turn
this hype into a hit?

10. City intelligence | “crowdsourced” data
LegalCold Feet?
Data
Quality
Hickling Arthurs Low, VGI primer
http://bit.ly/gwf-vgi-primer

11. City intelligence | “crowdsourced” data
Will VGI create a
pillory?
Missing context?
Who will qualify?

12. City intelligence | “crowdsourced” data
integration of
back-office
systems with
VGI data will
lower the
barriers

13. City intelligence | “crowdsourced” data
integration will open up opportunities for
local administrations to give feedback on the
status and on the ‘advialable budget and
manpower’ as well.
#VGI #CRM #GIS
Sint-Niklaas
ESRIBeLux
#VGI #CRM #GIS
Lokeren
ORBITGT

14. City intelligence | “crowdsourced” data
“Harnessing the Power of Feedback Loops”
“Provide people with information about their actions
in real time, then give them a chance to change those
actions, pushing them toward better behaviors. ”
Thomas Goetz | Wired July 2011
http://bit.ly/gwf-feedback

15. City intelligence | “crowdsourced” data
Zwerm, a
community game
aiming to bring
neighbors closer
together in Ghent,
Embed
crowdsourcing
into the strategy of
the local
government
Zwerm http://bit.ly/gwf-zwerm

16. City intelligence | “crowdsourced” data
Whodetermines authority?
Whatconstitutes authority in geodata?
Does authority matter and if it does, why?
Who would
I blame if
something
goes
wrong?
Steven Feldman
http://bit.ly/gwf-feldman

17. City intelligence | “crowdsourced” data
Geometrically
and positionally
accurate
Complete
Correctly
attributed
What
makes
geodata
authorativ
e?
Steven Feldman
http://bit.ly/gwf-feldman

18. City intelligence | “crowdsourced” data
“fitness for use”, or
how well the data
satisfies particular
needs
or fulfills certain
requirements to
solve a problem
Hickling Arthurs Low, VGI primer
http://bit.ly/gwf-vgi-primer

19. City intelligence | “crowdsourced” data
document your data (use
provenance information) so
each system within the local
government can decide
from it’s own business
context if the data is suited
and trusted in this context.
OSLO, V-ICT-OR
http://bit.ly/isa-oslo
Provenance, W3C
http://bit.ly/gwf-provenance

20. City intelligence | “crowdsourced” data
@rafke

21. City intelligence | “crowdsourced” data
Close the feedback loop
Quality is relative: ‘’fitness for use’
Create opportunities for re-use:
document the source of your
information (provenance)
@rafke

22. City intelligence | “crowdsourced” data
Acknowledgements
Joep Crompvoets (KUL),
Philippe De Maeyer, (uGent), Bart Boute (wvi),
Jürgen Closse (City of Lokeren),
Frederik Woûters, Timothy Van Cleemput
AGIV, ESRI BeLux, ORBIT GT, Couderé, Siggis,
www.altergeo.be
@rafke