Smart Cities: The Meeting Point between
Future Internet and Societal Innovation
PART I: Why Smart Cities?
Mirko Presser @mirkopresser
Head of Research and Innovation
Smart City Lab
Alexandra Instituttet A/S
SMARTCITY
2014
Weiner Bros., Silvercup Studios, Lionsgate Television and AMC Studios please don’t sue me!
h"p://www.reuters.com/middle-­‐class-­‐infographic	
  
Smart cities tutorial 2014
“From	
  horse	
  power	
  to	
  horsepower”	
  by	
  Eric	
  Morris	
  
150,000	
  litres	
  of	
  urine	
  
What makes a city smart?
smart!
/smärt/ !
!
Adjective!
Having or showing a quick-witted intelligence.!
!
Verb!
(of a wound or part of the body) Cause a sharp, stinging pain: “the wound was
smarting”.!
!
Noun!
Intelligence; acumen.!
!
Synonyms!
adjective. sharp – clever – shrewd – quick – stylish – elegant !
verb. hurt – ache – sting – tingle – pain – prickle !
noun. pain – ache – grief – sting!
!
!
@mirkopresser
What kind of city do you want to live in?
Smarter cities of the future will drive sustainable
economic growth. Their leaders have the tools to
analyze data for better decisions, anticipate problems
to resolve them proactively and coordinate resources
to operate effectively.
- IBM
h"p://www.ibm.com/smarterplanet/us/en/smarter_ciEes/overview/	
  accessed	
  16/04/2014	
  
That’s why Siemens […] develops solutions that bring
together different technologies, applications and
devices to help you managing the daily challenges of
a modern city, such as rising crime rates, urban
sprawl or traffic congestion. Utilizing state-of-the-art
communication technology, we give those who are
in charge the right tools to do their jobs - no matter
if it is the dispatcher of a police or disaster recovery
force, the engineer who controls the public lighting
system, or the city planner realizing his grand vision
for the city of the 21st century.
- Siemens
h"ps://www.cee.siemens.com/web/at/en/csb/CVC/Your_Industry/smart-­‐city/Pages/smart-­‐
city.aspxaccessed	
  16/04/2014	
  
Is this balanced?
010010111001100110101110001	
  
Decision	
  Maker	
  
CiEzens	
  
Smart cities tutorial 2014
Smart cities tutorial 2014
@mirkopresser
What kind of city do you want to live in?
Continuously innovating makes cities smart.
Frank J. Sprague (1857-1934) changed the face
of the Earth with electric traction.
Smart cities tutorial 2014
Smart cities tutorial 2014
Smart cities tutorial 2014
€	
  &	
  	
  §	
   €	
  &	
  	
  §	
   €	
  &	
  	
  §	
  
€	
  &	
  	
  §	
  
€	
  &	
  	
  §	
   €	
  &	
  	
  §	
   €	
  &	
  	
  §	
  
Smart cities tutorial 2014
h"p://www.arup.com/PublicaEons/InformaEon_Marketplaces_the_new_economics_of_ciEes.aspx	
  	
  
Smart City
Initiative
Framework Level 1 Level 2 Level 3 Level 4
Value Assessment
Individual project business
cases
Some non-financial value
assessment
Holistic value assessment
social/environmental/financial
Holistic value assessment
supporting diversification of
funding sources
Governance
Departmental governance
structures
Some corss-departmental
collaboration
Cross-departmental "Smart
City" management positions
in place
City-wide governance
structures and shared
performance targets
combined with international
Strategic ICT Focus Limited ICT capability Some strategic focus on ICT ICT Vision for the City
ICT vision and strategy
overseen by dedicated City
CIO
Citizen Engagement
with Service Design
Limited Citizen engagement
Project-level, basic needs
analysis, pilots
Citizen feedback loops
established
Citizen participation in
integrated service design
IT project focus Little or no ICT projects
Targeted ICT project
investments (e.g. Smart Grid)
Integrated ICT investments
(including embedded sensing,
control and actuation)
Real-time city operations
optimisations
Integraton of Data
Streams
No data integration Small scale data integration
Creative data mash-ups
pulling data to a common
platform
Open data and crowd-
sourcing initiatives
Digital Service
Provision
Little or no digial service
provision
Handful of digital services
Integrated digital services
around the city environment
Diversity of cloud-based
citizen services
Soft Infrastructure
Hard Infrastructure
0-5 years
 > 5 years
holistic
sector
safety	
  
security	
  
light	
  
annoyance	
  
anger-­‐management	
  
counter	
  adverEsing	
  
communicaEons	
  
Street	
  Lights	
  as	
  a	
  service	
  sta.on	
  for	
  human	
  beings	
  
ubiquitous	
  real-­‐estate	
  
sensor	
  plaWorm	
  
power	
  source	
  
bike	
  parking	
  spot	
  
insect	
  hub	
  
city	
  hall	
  
research	
  
ciEzens	
  
industry	
  
Weiner Bros., Silvercup Studios, Lionsgate Television and AMC Studios please don’t sue me!
everyone	
  
procurement	
  
organisa.on	
  
interoperability	
  
responsibility	
  
partnerships	
  
markets	
  
novelty	
  
ethics	
  
co-­‐crea.on	
  
sustainability	
  
•  UrbanisaEon	
  requires	
  smarter	
  ciEes,	
  >50%	
  
food,	
  >45%	
  energy	
  and	
  >30%	
  water	
  
•  Balance	
  bo"om	
  up	
  with	
  top	
  down	
  
•  InnovaEon	
  makes	
  ciEes	
  smart,	
  today’s	
  
innovaEon	
  is	
  the	
  digital	
  
•  Take	
  nothing	
  less	
  than	
  the	
  holisEc	
  smart	
  city	
  
Smart cities tutorial 2014
Smart Cities: The Meeting Point between
Future Internet and Societal Innovation
PART II: Open Data with Aarhus
Mirko Presser @mirkopresser
Head of Research and Innovation
Smart City Lab
Alexandra Instituttet A/S
Smart cities tutorial 2014
Smart cities tutorial 2014
Hvorfor Aarhus?WHY
AARHUS?
h"p://smart-­‐ciEes.eu/	
  	
  
Eco Peo Gov Mob Env Liv Rank
LU Luxembourg 1 2 13 6 25 6 1
DK Aarhus 4 1 6 9 20 12 2
FI Turku 16 8 2 21 11 9 3
DK Aalborg 17 4 4 11 26 11 4
DK Odense 15 3 5 5 50 17 5
FI Tampere 29 7 1 27 12 8 6
FI Oulu 25 6 3 28 14 19 7
NL Eindhoven 6 13 18 2 39 18 8
AT Linz 5 25 11 14 28 7 9
AT Salzburg 27 30 8 15 29 1 10
FR Monpellier 30 23 33 24 1 16 11
AT Innsbruck 28 35 9 8 40 3 12
AT Graz 18 32 12 17 31 5 13
NL Nijmegen 24 14 14 3 51 24 14
NL Groningen 14 9 15 20 37 13 15
BE Ghent 19 16 31 7 48 4 16
SI Ljublijana 8 11 43 31 3 29 17
AU billede
1/5
1/3
Smart cities tutorial 2014
Smart City
Initiative
Framework Level 1 Level 2 Level 3 Level 4
Value Assessment
Individual project business
cases
Some non-financial value
assessment
Holistic value assessment
social/environmental/financial
Holistic value assessment
supporting diversification of
funding sources
Governance
Departmental governance
structures
Some corss-departmental
collaboration
Cross-departmental "Smart
City" management positions
in place
City-wide governance
structures and shared
performance targets
combined with international
Strategic ICT Focus Limited ICT capability Some strategic focus on ICT ICT Vision for the City
ICT vision and strategy
overseen by dedicated City
CIO
Citizen Engagement
with Service Design
Limited Citizen engagement
Project-level, basic needs
analysis, pilots
Citizen feedback loops
established
Citizen participation in
integrated service design
IT project focus Little or no ICT projects
Targeted ICT project
investments (e.g. Smart Grid)
Integrated ICT investments
(including embedded sensing,
control and actuation)
Real-time city operations
optimisations
Integraton of Data
Streams
No data integration Small scale data integration
Creative data mash-ups
pulling data to a common
platform
Open data and crowd-
sourcing initiatives
Digital Service
Provision
Little or no digial service
provision
Handful of digital services
Integrated digital services
around the city environment
Diversity of cloud-based
citizen services
Soft Infrastructure
Hard Infrastructure
Smart City
Initiative
Framework Level 1 Level 2 Level 3 Level 4
Value Assessment
Individual project business
cases
Some non-financial value
assessment
Holistic value assessment
social/environmental/financial
Holistic value assessment
supporting diversification of
funding sources
Governance
Departmental governance
structures
Some cross-departmental
collaboration
Cross-departmental "Smart
City" management positions
in place
City-wide governance
structures and shared
performance targets
combined with international
Strategic ICT Focus Limited ICT capability Some strategic focus on ICT ICT Vision for the City
ICT vision and strategy
overseen by dedicated City
CIO
Citizen Engagement
with Service Design
Limited Citizen engagement
Project-level, basic needs
analysis, pilots
Citizen feedback loops
established
Citizen participation in
integrated service design
IT project focus Little or no ICT projects
Targeted ICT project
investments (e.g. Smart Grid)
Integrated ICT investments
(including embedded sensing,
control and actuation)
Real-time city operations
optimisations
Integraton of Data
Streams
No data integration Small scale data integration
Creative data mash-ups
pulling data to a common
platform
Open data and crowd-
sourcing initiatives
Digital Service
Provision
Little or no digial service
provision
Handful of digital services
Integrated digital services
around the city environment
Diversity of cloud-based
citizen services
Soft Infrastructure
Hard Infrastructure
h"p://www.mckinsey.com/mgi/publicaEons/ig_data/pdfs/MGI_big_data_full_report.pdf	
  	
  
Untapped ValueSilos’ Value
Smart cities tutorial 2014
h"p://citydashboard.alexandra.dk/Dashboard/	
  	
  
Smart cities tutorial 2014
Smart cities tutorial 2014
Smart cities tutorial 2014
“Open	
  data	
  is	
  data	
  that	
  can	
  be	
  freely	
  used,	
  
reused	
  and	
  redistributed	
  by	
  anyone	
  –	
  subject	
  
only,	
  at	
  most,	
  to	
  the	
  requirement	
  to	
  a"ribute	
  
and	
  sharealike.”	
  (opendefiniEon.org)	
  
	
  
What	
  is	
  open	
  data?	
  
•  Availability	
  and	
  Access:	
  the	
  data	
  must	
  be	
  available	
  as	
  a	
  whole	
  and	
  at	
  no	
  
more	
  than	
  a	
  reasonable	
  reproducEon	
  cost,	
  preferably	
  by	
  downloading	
  
over	
  the	
  internet.	
  The	
  data	
  must	
  also	
  be	
  available	
  in	
  a	
  convenient	
  and	
  
modifiable	
  form.	
  
•  Reuse	
  and	
  Redistribu.on:	
  the	
  data	
  must	
  be	
  provided	
  under	
  terms	
  that	
  
permit	
  reuse	
  and	
  redistribuEon	
  including	
  the	
  intermixing	
  with	
  other	
  
datasets.	
  
•  Universal	
  Par.cipa.on:	
  everyone	
  must	
  be	
  able	
  to	
  use,	
  reuse	
  and	
  
redistribute	
  -­‐	
  there	
  should	
  be	
  no	
  discriminaEon	
  against	
  fields	
  of	
  
endeavour	
  or	
  against	
  persons	
  or	
  groups.	
  	
  
What	
  is	
  open	
  data?	
  
•  Availability	
  and	
  Access:	
  the	
  data	
  must	
  be	
  available	
  as	
  a	
  whole	
  and	
  at	
  no	
  
more	
  than	
  a	
  reasonable	
  reproducEon	
  cost,	
  preferably	
  by	
  downloading	
  
over	
  the	
  internet.	
  The	
  data	
  must	
  also	
  be	
  available	
  in	
  a	
  convenient	
  and	
  
modifiable	
  form.	
  
•  Reuse	
  and	
  Redistribu.on:	
  the	
  data	
  must	
  be	
  provided	
  under	
  terms	
  that	
  
permit	
  reuse	
  and	
  redistribuEon	
  including	
  the	
  intermixing	
  with	
  other	
  
datasets.	
  
•  Universal	
  Par.cipa.on:	
  everyone	
  must	
  be	
  able	
  to	
  use,	
  reuse	
  and	
  
redistribute	
  -­‐	
  there	
  should	
  be	
  no	
  discriminaEon	
  against	
  fields	
  of	
  
endeavour	
  or	
  against	
  persons	
  or	
  groups.	
  For	
  example,	
  ‘non-­‐commercial’	
  
restricEons	
  that	
  would	
  prevent	
  ‘commercial’	
  use,	
  or	
  restricEons	
  of	
  use	
  for	
  
certain	
  purposes	
  (e.g.	
  only	
  in	
  educaEon),	
  are	
  not	
  allowed.	
  
What	
  is	
  open	
  data?	
  
•  Sir	
  Tim	
  Berners-­‐Lee’s	
  5	
  stars	
  of	
  openness1	
  
– Make	
  stuff	
  available:	
  
1.  on	
  the	
  web	
  (under	
  an	
  open	
  license)	
  
2.  as	
  structured	
  data	
  
3.  in	
  non-­‐proprietary	
  formats	
  
4.  as	
  URI’s	
  
5.  by	
  linking	
  data	
  to	
  other	
  data	
  
What	
  is	
  open	
  data?	
  
1	
  h"p://5stardata.info/	
  
People	
  
City	
  
Hall	
  
Busi-­‐
ness	
  
transparency	
  empowering	
  
reducing	
  costs	
  
new	
  economy	
  
$3	
  trillion	
  of	
  annual	
  added	
  value1	
  
	
  
	
  
1	
  h"p://www.mckinsey.com/insights/business_technology/open_data_unlocking_	
  
innovaEon_and_performance_with_liquid_informaEon	
  (october	
  2013)	
  
Why	
  do	
  open	
  data?	
  
•  The	
  Department	
  of	
  Energy	
  and	
  Climate	
  Change	
  (DECC)	
  has	
  combined	
  
official	
  staEsEcs	
  on	
  fuel	
  poverty	
  and	
  energy	
  consumpEon,	
  as	
  well	
  as	
  open	
  
data	
  from	
  the	
  energy	
  market,	
  to	
  produce	
  maps	
  that	
  help	
  ciEzens	
  and	
  
businesses	
  visualise	
  the	
  effect	
  of	
  green	
  policies	
  and	
  encourage	
  uptake	
  of	
  
the	
  ‘green	
  deal’.	
  [read	
  the	
  case	
  study]	
  
	
  	
  
•  The	
  Open	
  Data	
  InsEtute	
  has	
  been	
  working	
  with	
  numerous	
  peer-­‐to-­‐peer	
  
lenders,	
  such	
  as	
  Zopa,	
  RateSe"er	
  and	
  Funding	
  Circle,	
  to	
  increase	
  visibility	
  
of	
  this	
  new	
  financial	
  market,	
  which	
  may	
  enhance	
  customer	
  trust	
  and	
  
reduce	
  the	
  need	
  for	
  restric.ve	
  regula.ons.	
  [read	
  the	
  case	
  study]	
  
	
  	
  
•  Transport	
  API,	
  developed	
  by	
  Placr,	
  brings	
  together	
  travel	
  data	
  from	
  across	
  
the	
  UK’s	
  transport	
  network	
  to	
  provide	
  comprehensive	
  informaEon	
  and	
  
consultancy	
  services	
  that	
  businesses	
  can	
  use	
  to	
  keep	
  their	
  customers	
  
informed	
  and	
  avoid	
  unnecessary	
  disrupEon.	
  [read	
  the	
  case	
  study]	
  
Why	
  do	
  open	
  data?	
  (UK)	
  
h"p://data.gov.uk/blog/open-­‐data-­‐case-­‐studies-­‐and-­‐Eme-­‐machines%E2%80%A6	
  	
  
h"ps://openspending.org/ukgov-­‐finances-­‐cra	
  
UK	
  Country	
  Regional	
  Analysis	
  
h"p://swsl.uni-­‐muenster.de/pegelar/	
  
PegelAR	
  -­‐	
  river	
  level	
  data	
  in	
  Augmented	
  Reality	
  
h"p://trainEmes.org.uk/map/tube/	
  
Live	
  London	
  Underground	
  map	
  by	
  MaDhew	
  Somerville	
  
”We	
  are	
  using	
  these	
  maps	
  to	
  idenEfy	
  the	
  areas	
  
tourists	
  take	
  pictures	
  and	
  make	
  sure	
  they	
  are	
  
properly	
  cleaned	
  up.”	
  
	
  
-­‐	
  someone	
  from	
  Barcelona	
  City	
  Hall	
  
Eric	
  Fischer	
  “Locals	
  and	
  Tourists”	
  
The	
  Open	
  Data	
  Index	
  is	
  an	
  iniEaEve	
  of	
  the	
  Open	
  Knowledge	
  FoundaEon	
  based	
  on	
  contribuEons	
  
from	
  open	
  data	
  advocates	
  and	
  experts	
  around	
  the	
  world.	
  The	
  Index	
  results	
  are	
  a	
  fixed	
  snapshot	
  
from	
  October	
  28th,	
  2013,	
  compiled	
  from	
  the	
  data	
  collected	
  from	
  the	
  naEonal	
  Open	
  Data	
  
Census.	
  
•  Dead/poliEcal	
  data	
  
•  Real-­‐Eme	
  data	
  
–  How	
  oven	
  does	
  data	
  need	
  to	
  be	
  updated?	
  
•  Data	
  typically	
  has	
  a	
  very	
  high	
  granularity	
  of	
  informaEon	
  
about	
  e.g.	
  individuals	
  
–  Privacy!	
  
•  Data	
  quality	
  degrades	
  as	
  we	
  remove	
  granularity,	
  e.g.	
  
anonymisaEon	
  of	
  data.	
  
Data	
  Quality	
  and	
  Privacy	
  
Smart cities tutorial 2014
•  Smart	
  Aarhus	
  is	
  a	
  partnership	
  of	
  people	
  to	
  change	
  
mindsets	
  and	
  sEmulate	
  growth.	
  
•  Open	
  Data	
  is	
  not	
  a	
  technology,	
  but	
  a	
  movement	
  to	
  
balance	
  the	
  relaEonship	
  between	
  decision	
  makers	
  
and	
  ciEzens.	
  
•  Open	
  Data	
  is	
  about	
  accessibility,	
  reusability	
  and	
  
universal	
  parEcipaEon.	
  
•  Open	
  Data	
  can	
  become	
  the	
  link	
  between	
  the	
  silos	
  or	
  
a	
  silo	
  in	
  itself	
  –	
  it’s	
  up	
  to	
  us.	
  
Mirko	
  Presser	
  	
  	
  	
  	
  	
  @mirkopresser	
  
Head	
  of	
  Research	
  and	
  InnovaEon	
  
Smart	
  City	
  Lab	
  
Alexandra	
  InsEtu"et	
  A/S	
  
	
  
E:	
  mirko.presser@alexandra.dk	
  
M:	
  +45	
  30	
  49	
  09	
  76	
  
web	
  en:	
  www.alexandra.dk/uk	
  	
  

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Smart cities tutorial 2014

  • 1. Smart Cities: The Meeting Point between Future Internet and Societal Innovation PART I: Why Smart Cities? Mirko Presser @mirkopresser Head of Research and Innovation Smart City Lab Alexandra Instituttet A/S
  • 2. SMARTCITY 2014 Weiner Bros., Silvercup Studios, Lionsgate Television and AMC Studios please don’t sue me!
  • 5. “From  horse  power  to  horsepower”  by  Eric  Morris   150,000  litres  of  urine  
  • 6. What makes a city smart?
  • 7. smart! /smärt/ ! ! Adjective! Having or showing a quick-witted intelligence.! ! Verb! (of a wound or part of the body) Cause a sharp, stinging pain: “the wound was smarting”.! ! Noun! Intelligence; acumen.! ! Synonyms! adjective. sharp – clever – shrewd – quick – stylish – elegant ! verb. hurt – ache – sting – tingle – pain – prickle ! noun. pain – ache – grief – sting! ! !
  • 8. @mirkopresser What kind of city do you want to live in?
  • 9. Smarter cities of the future will drive sustainable economic growth. Their leaders have the tools to analyze data for better decisions, anticipate problems to resolve them proactively and coordinate resources to operate effectively. - IBM h"p://www.ibm.com/smarterplanet/us/en/smarter_ciEes/overview/  accessed  16/04/2014  
  • 10. That’s why Siemens […] develops solutions that bring together different technologies, applications and devices to help you managing the daily challenges of a modern city, such as rising crime rates, urban sprawl or traffic congestion. Utilizing state-of-the-art communication technology, we give those who are in charge the right tools to do their jobs - no matter if it is the dispatcher of a police or disaster recovery force, the engineer who controls the public lighting system, or the city planner realizing his grand vision for the city of the 21st century. - Siemens h"ps://www.cee.siemens.com/web/at/en/csb/CVC/Your_Industry/smart-­‐city/Pages/smart-­‐ city.aspxaccessed  16/04/2014  
  • 11. Is this balanced? 010010111001100110101110001   Decision  Maker   CiEzens  
  • 14. @mirkopresser What kind of city do you want to live in?
  • 16. Frank J. Sprague (1857-1934) changed the face of the Earth with electric traction.
  • 20. €  &    §   €  &    §   €  &    §   €  &    §   €  &    §   €  &    §   €  &    §  
  • 22. h"p://www.arup.com/PublicaEons/InformaEon_Marketplaces_the_new_economics_of_ciEes.aspx     Smart City Initiative Framework Level 1 Level 2 Level 3 Level 4 Value Assessment Individual project business cases Some non-financial value assessment Holistic value assessment social/environmental/financial Holistic value assessment supporting diversification of funding sources Governance Departmental governance structures Some corss-departmental collaboration Cross-departmental "Smart City" management positions in place City-wide governance structures and shared performance targets combined with international Strategic ICT Focus Limited ICT capability Some strategic focus on ICT ICT Vision for the City ICT vision and strategy overseen by dedicated City CIO Citizen Engagement with Service Design Limited Citizen engagement Project-level, basic needs analysis, pilots Citizen feedback loops established Citizen participation in integrated service design IT project focus Little or no ICT projects Targeted ICT project investments (e.g. Smart Grid) Integrated ICT investments (including embedded sensing, control and actuation) Real-time city operations optimisations Integraton of Data Streams No data integration Small scale data integration Creative data mash-ups pulling data to a common platform Open data and crowd- sourcing initiatives Digital Service Provision Little or no digial service provision Handful of digital services Integrated digital services around the city environment Diversity of cloud-based citizen services Soft Infrastructure Hard Infrastructure
  • 23. 0-5 years > 5 years holistic sector
  • 24. safety   security   light   annoyance   anger-­‐management   counter  adverEsing   communicaEons   Street  Lights  as  a  service  sta.on  for  human  beings   ubiquitous  real-­‐estate   sensor  plaWorm   power  source   bike  parking  spot   insect  hub  
  • 25. city  hall   research   ciEzens   industry   Weiner Bros., Silvercup Studios, Lionsgate Television and AMC Studios please don’t sue me! everyone   procurement   organisa.on   interoperability   responsibility   partnerships   markets   novelty   ethics   co-­‐crea.on   sustainability  
  • 26. •  UrbanisaEon  requires  smarter  ciEes,  >50%   food,  >45%  energy  and  >30%  water   •  Balance  bo"om  up  with  top  down   •  InnovaEon  makes  ciEes  smart,  today’s   innovaEon  is  the  digital   •  Take  nothing  less  than  the  holisEc  smart  city  
  • 28. Smart Cities: The Meeting Point between Future Internet and Societal Innovation PART II: Open Data with Aarhus Mirko Presser @mirkopresser Head of Research and Innovation Smart City Lab Alexandra Instituttet A/S
  • 32. h"p://smart-­‐ciEes.eu/     Eco Peo Gov Mob Env Liv Rank LU Luxembourg 1 2 13 6 25 6 1 DK Aarhus 4 1 6 9 20 12 2 FI Turku 16 8 2 21 11 9 3 DK Aalborg 17 4 4 11 26 11 4 DK Odense 15 3 5 5 50 17 5 FI Tampere 29 7 1 27 12 8 6 FI Oulu 25 6 3 28 14 19 7 NL Eindhoven 6 13 18 2 39 18 8 AT Linz 5 25 11 14 28 7 9 AT Salzburg 27 30 8 15 29 1 10 FR Monpellier 30 23 33 24 1 16 11 AT Innsbruck 28 35 9 8 40 3 12 AT Graz 18 32 12 17 31 5 13 NL Nijmegen 24 14 14 3 51 24 14 NL Groningen 14 9 15 20 37 13 15 BE Ghent 19 16 31 7 48 4 16 SI Ljublijana 8 11 43 31 3 29 17
  • 34. 1/3
  • 36. Smart City Initiative Framework Level 1 Level 2 Level 3 Level 4 Value Assessment Individual project business cases Some non-financial value assessment Holistic value assessment social/environmental/financial Holistic value assessment supporting diversification of funding sources Governance Departmental governance structures Some corss-departmental collaboration Cross-departmental "Smart City" management positions in place City-wide governance structures and shared performance targets combined with international Strategic ICT Focus Limited ICT capability Some strategic focus on ICT ICT Vision for the City ICT vision and strategy overseen by dedicated City CIO Citizen Engagement with Service Design Limited Citizen engagement Project-level, basic needs analysis, pilots Citizen feedback loops established Citizen participation in integrated service design IT project focus Little or no ICT projects Targeted ICT project investments (e.g. Smart Grid) Integrated ICT investments (including embedded sensing, control and actuation) Real-time city operations optimisations Integraton of Data Streams No data integration Small scale data integration Creative data mash-ups pulling data to a common platform Open data and crowd- sourcing initiatives Digital Service Provision Little or no digial service provision Handful of digital services Integrated digital services around the city environment Diversity of cloud-based citizen services Soft Infrastructure Hard Infrastructure
  • 37. Smart City Initiative Framework Level 1 Level 2 Level 3 Level 4 Value Assessment Individual project business cases Some non-financial value assessment Holistic value assessment social/environmental/financial Holistic value assessment supporting diversification of funding sources Governance Departmental governance structures Some cross-departmental collaboration Cross-departmental "Smart City" management positions in place City-wide governance structures and shared performance targets combined with international Strategic ICT Focus Limited ICT capability Some strategic focus on ICT ICT Vision for the City ICT vision and strategy overseen by dedicated City CIO Citizen Engagement with Service Design Limited Citizen engagement Project-level, basic needs analysis, pilots Citizen feedback loops established Citizen participation in integrated service design IT project focus Little or no ICT projects Targeted ICT project investments (e.g. Smart Grid) Integrated ICT investments (including embedded sensing, control and actuation) Real-time city operations optimisations Integraton of Data Streams No data integration Small scale data integration Creative data mash-ups pulling data to a common platform Open data and crowd- sourcing initiatives Digital Service Provision Little or no digial service provision Handful of digital services Integrated digital services around the city environment Diversity of cloud-based citizen services Soft Infrastructure Hard Infrastructure
  • 44. “Open  data  is  data  that  can  be  freely  used,   reused  and  redistributed  by  anyone  –  subject   only,  at  most,  to  the  requirement  to  a"ribute   and  sharealike.”  (opendefiniEon.org)     What  is  open  data?  
  • 45. •  Availability  and  Access:  the  data  must  be  available  as  a  whole  and  at  no   more  than  a  reasonable  reproducEon  cost,  preferably  by  downloading   over  the  internet.  The  data  must  also  be  available  in  a  convenient  and   modifiable  form.   •  Reuse  and  Redistribu.on:  the  data  must  be  provided  under  terms  that   permit  reuse  and  redistribuEon  including  the  intermixing  with  other   datasets.   •  Universal  Par.cipa.on:  everyone  must  be  able  to  use,  reuse  and   redistribute  -­‐  there  should  be  no  discriminaEon  against  fields  of   endeavour  or  against  persons  or  groups.     What  is  open  data?  
  • 46. •  Availability  and  Access:  the  data  must  be  available  as  a  whole  and  at  no   more  than  a  reasonable  reproducEon  cost,  preferably  by  downloading   over  the  internet.  The  data  must  also  be  available  in  a  convenient  and   modifiable  form.   •  Reuse  and  Redistribu.on:  the  data  must  be  provided  under  terms  that   permit  reuse  and  redistribuEon  including  the  intermixing  with  other   datasets.   •  Universal  Par.cipa.on:  everyone  must  be  able  to  use,  reuse  and   redistribute  -­‐  there  should  be  no  discriminaEon  against  fields  of   endeavour  or  against  persons  or  groups.  For  example,  ‘non-­‐commercial’   restricEons  that  would  prevent  ‘commercial’  use,  or  restricEons  of  use  for   certain  purposes  (e.g.  only  in  educaEon),  are  not  allowed.   What  is  open  data?  
  • 47. •  Sir  Tim  Berners-­‐Lee’s  5  stars  of  openness1   – Make  stuff  available:   1.  on  the  web  (under  an  open  license)   2.  as  structured  data   3.  in  non-­‐proprietary  formats   4.  as  URI’s   5.  by  linking  data  to  other  data   What  is  open  data?   1  h"p://5stardata.info/  
  • 48. People   City   Hall   Busi-­‐ ness   transparency  empowering   reducing  costs   new  economy   $3  trillion  of  annual  added  value1       1  h"p://www.mckinsey.com/insights/business_technology/open_data_unlocking_   innovaEon_and_performance_with_liquid_informaEon  (october  2013)   Why  do  open  data?  
  • 49. •  The  Department  of  Energy  and  Climate  Change  (DECC)  has  combined   official  staEsEcs  on  fuel  poverty  and  energy  consumpEon,  as  well  as  open   data  from  the  energy  market,  to  produce  maps  that  help  ciEzens  and   businesses  visualise  the  effect  of  green  policies  and  encourage  uptake  of   the  ‘green  deal’.  [read  the  case  study]       •  The  Open  Data  InsEtute  has  been  working  with  numerous  peer-­‐to-­‐peer   lenders,  such  as  Zopa,  RateSe"er  and  Funding  Circle,  to  increase  visibility   of  this  new  financial  market,  which  may  enhance  customer  trust  and   reduce  the  need  for  restric.ve  regula.ons.  [read  the  case  study]       •  Transport  API,  developed  by  Placr,  brings  together  travel  data  from  across   the  UK’s  transport  network  to  provide  comprehensive  informaEon  and   consultancy  services  that  businesses  can  use  to  keep  their  customers   informed  and  avoid  unnecessary  disrupEon.  [read  the  case  study]   Why  do  open  data?  (UK)   h"p://data.gov.uk/blog/open-­‐data-­‐case-­‐studies-­‐and-­‐Eme-­‐machines%E2%80%A6    
  • 51. h"p://swsl.uni-­‐muenster.de/pegelar/   PegelAR  -­‐  river  level  data  in  Augmented  Reality  
  • 52. h"p://trainEmes.org.uk/map/tube/   Live  London  Underground  map  by  MaDhew  Somerville  
  • 53. ”We  are  using  these  maps  to  idenEfy  the  areas   tourists  take  pictures  and  make  sure  they  are   properly  cleaned  up.”     -­‐  someone  from  Barcelona  City  Hall   Eric  Fischer  “Locals  and  Tourists”  
  • 54. The  Open  Data  Index  is  an  iniEaEve  of  the  Open  Knowledge  FoundaEon  based  on  contribuEons   from  open  data  advocates  and  experts  around  the  world.  The  Index  results  are  a  fixed  snapshot   from  October  28th,  2013,  compiled  from  the  data  collected  from  the  naEonal  Open  Data   Census.  
  • 55. •  Dead/poliEcal  data   •  Real-­‐Eme  data   –  How  oven  does  data  need  to  be  updated?   •  Data  typically  has  a  very  high  granularity  of  informaEon   about  e.g.  individuals   –  Privacy!   •  Data  quality  degrades  as  we  remove  granularity,  e.g.   anonymisaEon  of  data.   Data  Quality  and  Privacy  
  • 57. •  Smart  Aarhus  is  a  partnership  of  people  to  change   mindsets  and  sEmulate  growth.   •  Open  Data  is  not  a  technology,  but  a  movement  to   balance  the  relaEonship  between  decision  makers   and  ciEzens.   •  Open  Data  is  about  accessibility,  reusability  and   universal  parEcipaEon.   •  Open  Data  can  become  the  link  between  the  silos  or   a  silo  in  itself  –  it’s  up  to  us.  
  • 58. Mirko  Presser            @mirkopresser   Head  of  Research  and  InnovaEon   Smart  City  Lab   Alexandra  InsEtu"et  A/S     E:  mirko.presser@alexandra.dk   M:  +45  30  49  09  76   web  en:  www.alexandra.dk/uk