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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 Slide 2 City intelligence | crowdsourced data V-ICT-OR, an NPO @ the crossroads local government, central government, private sector and the citizen Slide 3 City intelligence | crowdsourced data V-ICT-OR, an NPO @ the crossroads active in Flanders Slide 4 City intelligence | crowdsourced data The parish Board of Guardians #localGov the first to take an action, based on city geo-intelligence Slide 5 City intelligence | crowdsourced data concentration of the deads as black bars at each address. #cholera #London #JohnSnow concentration of the deads as black bars at each address. #cholera #London #JohnSnow Slide 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 Slide 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? Slide 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-vgihttp://bit.ly/gwf-vgi Slide 9 City intelligence | crowdsourced data important bottlenecks which currently avoid the major breakthrough How can we turn this hype into a hit? Slide 10 City intelligence | crowdsourced data Slide 11 LegalCold Feet? Data Quality Hickling Arthurs Low, VGI primer http://bit.ly/gwf-vgi-primer http://bit.ly/gwf-vgi-primer Slide 12 City intelligence | crowdsourced data Will VGI create a pillory? Missing context? Who will qualify? Slide 13 City intelligence | crowdsourced data integration of back-office systems with VGI data will lower the barriers Slide 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 Slide 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 2011 http://bit.ly/gwf-feedback http://bit.ly/gwf-feedback Slide 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 http://bit.ly/gwf-zwermhttp://bit.ly/gwf-zwerm Slide 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 http://bit.ly/gwf-feldman http://bit.ly/gwf-feldman Slide 18 City intelligence | crowdsourced data Geometrically and positionally accurate Complete Correctly attributed What makes geodata authorative? Steven Feldman http://bit.ly/gwf-feldman http://bit.ly/gwf-feldman Slide 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 http://bit.ly/gwf-vgi-primer http://bit.ly/gwf-vgi-primer Slide 20 City intelligence | crowdsourced data document your data (use provenance information) so each system within the local government can decide from its own business context if the data is suited and trusted in this context. OSLO, V-ICT-OR http://bit.ly/isa-oslo http://bit.ly/isa-oslo Provenance, W3C http://bit.ly/gwf-provenance http://bit.ly/gwf-provenance Slide 21 City intelligence | crowdsourced data @rafke Slide 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 (provenance) @rafke Slide 23 City intelligence | crowdsourced data Acknowledgements Joep Crompvoets (KUL), Philippe De Maeyer, (uGent), Bart Boute (wvi), Jrgen Closse (City of Lokeren), Frederik Woters, Timothy Van Cleemput AGIV, ESRI BeLux, ORBIT GT, Couder, Siggis, www.altergeo.be Acknowledgements Joep Crompvoets (KUL), Philippe De Maeyer, (uGent), Bart Boute (wvi), Jrgen Closse (City of Lokeren), Frederik Woters, Timothy Van Cleemput AGIV, ESRI BeLux, ORBIT GT, Couder, Siggis, www.altergeo.be @rafke