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Platform innovation, data-driven applications and participatory governance
By Dr. Robin Effing and Dr. Mettina Veenstra
2nd International Workshop SISC-DISES in Nice (fr)
Smart City Strategy
www.researchgroupsmartcities.eu
Introduction
Saxion University of Applied Sciences
School of Creative Technology
Research Group Smart Cities
www.researchgroupsmartcities.eu
Effing & Groot:
The Social Smart City Framework
Source: Effing & Groot (2016) Social Smart City: Introducing Digital and Social
Strategies for Participatory Governance in Smart Cities
 “How can we use the already available data?”
 Main strategy: supporting Bottom up based small projects
 Strategy was not defined in a policy plan
 City center as a living-lab
 Collaboration structure is currently focusing on universities
 Absence of an overarching vision or plan (will follow in 2018)
Source: Spil, Effing & Kwast (2017): Smart City Participation: Dream or Reality? A
Comparison of Participatory Strategies from Hamburg, Berlin & Enschede
 Comprehensive strategy plan was developed (Berlin’s Smart City Strategy)
 Strategic focus: international competitiveness
 Smart city Berlin networks holds over 100 members of various organizations
 The citizens are the most important component of the strategy
 Most elaborate part in practice: Open Data innovation strategy, however mostly
universities make use of the data
 Lacking implementation schedule (a strategy is as good as its implementation)
Source: Spil, Effing & Kwast (2017): Smart City Participation: Dream or Reality? A
Comparison of Participatory Strategies from Hamburg, Berlin & Enschede
Image source http://smartklub.org/blog/the-smartest-city-hamburg/
 Hamburg is one of the most liveable cities in Germany
 “The ultimate smart city is an utopia and does not exist”
 Hamburg defined a comprehensive strategy and vision in 2015: “Digitale
Stadt”
 Vision: “Establish an innovation climate that enables citizens to make public
data openly accessible and support companies and institutions in networking
“
 Key aim: “achieving a higher quality of living”
 Citizen centric approach
 Tools: open data, stadtwerkstatt, network collaboration
Source: Spil, Effing & Kwast (2017): Smart City Participation: Dream or Reality? A
Comparison of Participatory Strategies from Hamburg, Berlin & Enschede
Image source http://smartklub.org/blog/the-smartest-city-hamburg/
 Wish to build an infrastructure suitable to be used in all of our smart city
projects
 Wish to make collected data reusable by others in Enschede
 Collaboration with City of Enschede
Image source http://smartklub.org/blog/the-smartest-city-hamburg/
 Open & Agile Smart Cities: November 2015, some Dutch Cities join
(Amersfoort, Amsterdam, Eindhoven, Enschede, Rotterdam, Utrecht)
 FIWARE: platform providing set of APIs that ease the development of smart
applications in multiple vertical sectors + data models
 Orion Context Broker, CKAN, Cygnus
Image source http://smartklub.org/blog/the-smartest-city-hamburg/
 Urban Platform (according to EIP-SCC): “The implemented realisation of a
logical architecture / design that brings together … data flows within and
across city systems … in order to transform…outcomes at local level.”
Image source http://smartklub.org/blog/the-smartest-city-hamburg/
 Urban Platform (Enschede): An online basis for a smart city ecosystem where
data (visualisations), services, projects, smart city participants, stories and
events are displayed/shared in an interlinked way
 Layer on top of FIWARE (or other data platforms)
 Visibility of the smart city
 Dutch co-operation (NEN)
Image source http://smartklub.org/blog/the-smartest-city-hamburg/
City as a platform manifesto (10 principles)
Knit local communities closer together
Offer a new economic agenda for local governments by using digital platforms
Collaborative framework between residents, the public and private sector
To drive the desired outcome of sustainability, inclusivity and targeted
innovation that benefits cities and their residents
1) City platforms must enable services that improve the quality of life in cities; benefitting
residents, the environment, and helping to bridge the digital divide
2) City platforms must bring together both public and private stakeholders in digital ecosystems
.
.
. https://www.tmforum.org/smart-city-forum/city-platform-manifesto/
Image source http://smartklub.org/blog/the-smartest-city-hamburg/
 Collaboration based on the urban platform Smart Enschede
 More projects
 Involving citizens: Smart Citizen Lab, measuring ground water levels
 Involving Companies: Improving and expanding the urban platform, adding
sensors and networks, developing services
 Invitation to collaborate!
Keep in touch!
Saxion University of Applied Sciences
School of Creative Technology
Research Group Smart Cities
Enschede, The Netherlands
m.j.a.veenstra@saxion.nl
+31653217668
r.effing@saxion.nl
+31623462625
@robineffing
www.researchgroupsmartcities.eu

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Smart City Strategy Platform innovation, data-driven applications and participatory governance at the 2nd SISC-DISES Nice

  • 1. Platform innovation, data-driven applications and participatory governance By Dr. Robin Effing and Dr. Mettina Veenstra 2nd International Workshop SISC-DISES in Nice (fr) Smart City Strategy www.researchgroupsmartcities.eu
  • 2. Introduction Saxion University of Applied Sciences School of Creative Technology Research Group Smart Cities www.researchgroupsmartcities.eu
  • 3. Effing & Groot: The Social Smart City Framework Source: Effing & Groot (2016) Social Smart City: Introducing Digital and Social Strategies for Participatory Governance in Smart Cities
  • 4.  “How can we use the already available data?”  Main strategy: supporting Bottom up based small projects  Strategy was not defined in a policy plan  City center as a living-lab  Collaboration structure is currently focusing on universities  Absence of an overarching vision or plan (will follow in 2018) Source: Spil, Effing & Kwast (2017): Smart City Participation: Dream or Reality? A Comparison of Participatory Strategies from Hamburg, Berlin & Enschede
  • 5.  Comprehensive strategy plan was developed (Berlin’s Smart City Strategy)  Strategic focus: international competitiveness  Smart city Berlin networks holds over 100 members of various organizations  The citizens are the most important component of the strategy  Most elaborate part in practice: Open Data innovation strategy, however mostly universities make use of the data  Lacking implementation schedule (a strategy is as good as its implementation) Source: Spil, Effing & Kwast (2017): Smart City Participation: Dream or Reality? A Comparison of Participatory Strategies from Hamburg, Berlin & Enschede
  • 6. Image source http://smartklub.org/blog/the-smartest-city-hamburg/  Hamburg is one of the most liveable cities in Germany  “The ultimate smart city is an utopia and does not exist”  Hamburg defined a comprehensive strategy and vision in 2015: “Digitale Stadt”  Vision: “Establish an innovation climate that enables citizens to make public data openly accessible and support companies and institutions in networking “  Key aim: “achieving a higher quality of living”  Citizen centric approach  Tools: open data, stadtwerkstatt, network collaboration Source: Spil, Effing & Kwast (2017): Smart City Participation: Dream or Reality? A Comparison of Participatory Strategies from Hamburg, Berlin & Enschede
  • 7. Image source http://smartklub.org/blog/the-smartest-city-hamburg/  Wish to build an infrastructure suitable to be used in all of our smart city projects  Wish to make collected data reusable by others in Enschede  Collaboration with City of Enschede
  • 8. Image source http://smartklub.org/blog/the-smartest-city-hamburg/  Open & Agile Smart Cities: November 2015, some Dutch Cities join (Amersfoort, Amsterdam, Eindhoven, Enschede, Rotterdam, Utrecht)  FIWARE: platform providing set of APIs that ease the development of smart applications in multiple vertical sectors + data models  Orion Context Broker, CKAN, Cygnus
  • 9. Image source http://smartklub.org/blog/the-smartest-city-hamburg/  Urban Platform (according to EIP-SCC): “The implemented realisation of a logical architecture / design that brings together … data flows within and across city systems … in order to transform…outcomes at local level.”
  • 10. Image source http://smartklub.org/blog/the-smartest-city-hamburg/  Urban Platform (Enschede): An online basis for a smart city ecosystem where data (visualisations), services, projects, smart city participants, stories and events are displayed/shared in an interlinked way  Layer on top of FIWARE (or other data platforms)  Visibility of the smart city  Dutch co-operation (NEN)
  • 11. Image source http://smartklub.org/blog/the-smartest-city-hamburg/ City as a platform manifesto (10 principles) Knit local communities closer together Offer a new economic agenda for local governments by using digital platforms Collaborative framework between residents, the public and private sector To drive the desired outcome of sustainability, inclusivity and targeted innovation that benefits cities and their residents 1) City platforms must enable services that improve the quality of life in cities; benefitting residents, the environment, and helping to bridge the digital divide 2) City platforms must bring together both public and private stakeholders in digital ecosystems . . . https://www.tmforum.org/smart-city-forum/city-platform-manifesto/
  • 12. Image source http://smartklub.org/blog/the-smartest-city-hamburg/  Collaboration based on the urban platform Smart Enschede  More projects  Involving citizens: Smart Citizen Lab, measuring ground water levels  Involving Companies: Improving and expanding the urban platform, adding sensors and networks, developing services  Invitation to collaborate!
  • 13. Keep in touch! Saxion University of Applied Sciences School of Creative Technology Research Group Smart Cities Enschede, The Netherlands m.j.a.veenstra@saxion.nl +31653217668 r.effing@saxion.nl +31623462625 @robineffing www.researchgroupsmartcities.eu

Notes de l'éditeur

  1. Introduction We believe that ICT can drive innovation in cities A few key questions as introduction “What is the city but the people?” (Shakespeare, 1608) How can we connect people and organisations in order to solve their challenges? How can we use open and big data, technology and participatory strategies for the benefit of people in cities? What is a feasible strategic approach for a smart city? In this talk we present research findings and foundations of our research to address such questions Short personal introduction Saxion University of Applied Sciences School of Creative Technology Research Group Smart Cities: Technology for people in cities Enschede, The Netherlands
  2. Smart Applications are applications that are aware of their environment through sensor data. The FIWARE platform provides a rather simple yet powerful set of APIs (Application Programming Interfaces) that ease the development of Smart Applications in multiple vertical sectors. The specifications of these APIs are public and royalty-free. Besides, an open source reference implementation of each of the FIWARE components is publicly available so that multiple FIWARE providers can emerge faster in the market with a low-cost proposition. Fiware is one of the results of the Future Internet Public-Private Partnership, a European programme for Internet innovation started in 2011. Today, a few years later, Fiware comprises of a complete ecosystem, having realized many open source components, several cloud environments for experimenting, programs for business acceleration and much more. For TFF bridge we stayed close to the heart of Fiware: The collecting and publishing of sensor data. The core component is the Orion Context Broker, used for publishing data. Orion uses the Mobile Alliance NGSI10 standard for exchange of data. Orion is like a big blackboard where producers can leave their last measurements and consumers can pick up the measurements, without directly knowing the producer. Another result of Fiware is the collection of data models, type information about data objects. Without a data model, the knowledge about a data object is implicit and embedded in the consumer of data. With a data model, complete decoupling between producer and consumer can be realized. In the project we have collected data from third party services for use in the project. The sources we use are: Social Media Indicator (a Saxion service for finding the influencers on social media). The data model is proprietary. Weather (Amsterdam, Utrecht, Enschede). The data model is WeatherObserved. Groundwater measurements in Enschede. The data model is proprietary. The available spots in the parking garages in Enschede. The data model is OffstreetParking. Besides the use of Orion for actual measurements, we have deployed a CKAN instance to register and store datasets.  With the help of Cygnus we subscribe to the data at Orion and store the data in a database for later retrieval. CKAN makes it possible to browse and search for datasets. Numerous views can be created to view a dataset. CKAN has many standard views available. We have developed a web-based application for showing the map of Enschede, showing the parking garages, groundwater levels and weather. The same application is also used as a dedicated webview in CKAN for a few datasets. Fiware has incorporated an extensive access control solution based on centralized identity management. Access to an API is guarded by a Policy Enforcement Point. If needed, fine-grained authorization can be applied using dedicated security policies.