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City intelligence | “crowdsourced” data GIS for intelligent cities of the future Can “crowdsourced” data augment authoritative datasets in local communities?

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Presentation on theme: "City intelligence | “crowdsourced” data GIS for intelligent cities of the future Can “crowdsourced” data augment authoritative datasets in local communities?"— Presentation transcript:

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 the crossroads local government, central government, private sector and the citizen

3 City intelligence | “crowdsourced” data V-ICT-OR, an 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 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

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

11 LegalCold Feet? Data Quality Hickling Arthurs Low, VGI primer

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

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

14 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

15 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

16 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

17 City intelligence | “crowdsourced” data Who determines authority? What constitutes authority in geodata? Does authority matter and if it does, why ? Who would I blame if something goes wrong? Steven Feldman

18 City intelligence | “crowdsourced” data Geometrically and positionally accurate Complete Correctly attributed What makes geodata authorative? Steven Feldman

19 City intelligence | “crowdsourced” data “fitness for use”, or how well the data satisfies particular needs or fulfills certain requirements to solve a problem “fitness for use”, or how well the data satisfies particular needs or fulfills certain requirements to solve a problem Hickling Arthurs Low, VGI primer

20 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 Provenance, W3C

21 City intelligence | “crowdsourced”

22 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

23 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, 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,


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