Smart Cities
Wim De Waele
CEO
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Will the real Smart City
please stand up?
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The Smart City Dashboard Vision
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The Smart City Bottom-Up vision
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“The bias lurking behind every large-scale smart
city is a belief that bottom-up complexity can be
bottled and put to use for top-down ends — that a
central agency, with the right computer program,
could one day manage and even dictate the
complex needs of an actual city.
The smartest cities are the ones that embrace
openness, randomness and serendipity —
everything that makes a city great”
– Greg Lindsay, 2011
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E-government
Revisited?
The Smart City concept
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Smart City
Urban space
Interaction physical &
digital
Mediated by ICT
Innovative methods
Involving &
engaging
Increasing QoL and efficiency
Our View of Smart Cities: 3 levels
Actors
Public
Private
Citizens
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Tools & Resources
Platforms
Data (open, big,
long & linked)
Networks (sensor,
mobile & fixed)
Living Labs and co-
creation
Urban Applications
Mobility
Security
Participatory
governance
Access
Healthcare
The 3 Cornerstones of Smart City Innovation
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The 3 Cornerstones of Smart City Innovation
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Collaborative
The 3 Cornerstones of Smart City Innovation
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Collaborative
Collective
The 3 Cornerstones of Smart City Innovation
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Collaborative
Collective Contextual
iMinds Smart City Focus: The Key Enablers Open data and Digital City Infrastructures
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Smart Urban Apps Mobile, context aware, location based
Open, linked & big data
Open data
Public, private and citizen data
and metadata, business models
Data analytics, semantic reasoning
Digital City Infrastructures
Transport optimization
& economics,
Mobility
Networks: Fixed & wireless, Sensor
networks, IoT
Public service and innovation platforms
Market strategy
and policy
formulation, user
experience,
expose assets
(APIs)
Developers
iMinds
research
focus
Infrastructure and platforms
Heterogeneous mix of fixed and mobile broadband, sensor
networks; smart grids; public and private networks
Smart City Sensor Networks
Wireless sensor network
with advanced monitoring applications
Data collected trough sensors
E.g. parking spaces, garbage bin status
Applications developed to convert the sensor data
into usable end-user information
E.g. personal parking assistant for disabled people, smart
bins sending an alert when they are full
Wi-Fi network supporting real-time applications
for mobile users
E.g. uninterrupted VoIP calls while hopping between
Apps
Smart City Cloud platform
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• Cloud Architecture with linked public-private data enabling small and
medium-sized cities to access SME-generated smart city service
Open, linked and big data
- Open data: standards, APIs, linked data, trust frameworks, ….
- Big data: capture, search, analysis, visualisation,…
Smart City Open Data Platforms
Linked Open Data Publishing Platform (The DataTank) & Version
Controlled TripleStore for R&W-web (Rawbase)
Apps
Beacons
Images: Estimote, PayPal, Insoft
Drones
Image: Amazon
Wearables
Image: Reuters
Venture Capital Is Piling Into ‘The Internet Of Things’
$80 $66
$530
$93.4$33.8 $26 $15.5 $3.4
$3,200
$300
$3,300
$250
$0
$500
$1,000
$1,500
$2,000
$2,500
$3,000
$3,500
Nest FitBit Jawbone OculusVR Withings Pebble SmartThings Es mote(Beacons)
(Millions)
Source:NewsReports,CompanyReleases
TotalFundingAndLatestValua onByCompany
TotalFunding LatestEs matedValua on(WhenAvailable)
Thank You
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