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Smart Cities as Innovation Ecosystems sustained by the Future Internet - Landscape, Cases and PoliciesHans Schaffers


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@User Driven Open Ecosystems go really Local,
in Mechelen (Belgium) 22nd - 23rd, 2012

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Smart Cities as Innovation Ecosystems sustained by the Future Internet - Landscape, Cases and PoliciesHans Schaffers

  1. 1. Smart  Ci)es  as  Innova)on  Ecosystems     Sustained  by  the  Future  Internet  -­‐     Landscape,  cases,  policies     Mechelen,  22.05.2012       Hans  Schaffers   ESoCE  Net  &  Aalto  University  School  of  Economics,  CKIR   ScienBfic  Coordinator  of  FIREBALL    
  2. 2. The  “Smart  City”  concept  q We  oIen  consider  –  based  on  rankings  -­‐  the  Smart  City  as  a   reality  q Smart  City:  not  a  reality  but  an  urban  development  strategy,   and  a  mostly  technology  driven  future  vision  q Smart  City  is  about  how  ciBzens  are  shaping  the  city,  and  how   ciBzens  are  empowered  to  contribute  to  urban  development  q Smart  City  is  an  urban  laboratory,  an  urban  “innovaBon   ecology”,  an  accelerator  and  agent  of  change  q We  are  witnessing  promising  developments  towards  smarter   ciBes  q What  is  the  DNA  of  the  Smart  City?  
  3. 3. The  FIREBALL  Project  q CiBes  increasingly  transform  into  what  can  be  called  “urban   innovaBon  ecosystems“  q CiBes    start  experimenBng  the  opportuniBes  of  the  (Future)   Internet  through  “living  labs”  approaches  for  engaging  end-­‐ users  in  the  innovaBon  process    q FIREBALL  aims  to  bring  together  CiBes,  Living  Labs  and  Future   Internet  stakeholders  to  explore  models  and  pracBces  of  how   open  innovaBon  and  user  parBcipaBon  supports  the   experimentaBon  and  uptake  of  the  Future  Internet  
  4. 4. FIREBALL     Results  q Smart  city  vision,  landscape  q Cases  of  “smart(er)  ciBes”   ® ®q Smart  city  Future  Internet  -­‐   ® enabled  “innovaBon   ® ® ecosystems”   ® ® ®q Smart  CiBes  roadmap     and  ciBes  acBon  plans  q Community  building  ,   creaBon  of  a  Connected     Smart  CiBes  network  q Portal  and  web  2.0  tools  
  5. 5. Smarter  Ci)es  Cases   Intel  Industry   i-­‐Transport hubs Smart clusters  and   Housing  Districts sectorsq  Thessaloniki:  Technology  districts  and   Smart Port  district Intel CBD broadband  deployment,  relaBvely   i-­‐University uncoordinated.  Governance   i-­‐Science   challenges  of  digital  ciBes,  combining   Parks and   Incubators bo^om-­‐up  and  top-­‐down  planning;   gaps  in  digital  skills,  creaBvity,   entrepreneurship  q  Oulu:  Careful  ecosystem  building  and   nurturing  (triple  helix)  ,  supported  by   diverse  ICT  systems,  may  support   urban  development.  q  Amsterdam:  Enabled  by  advanced   infrastructure,  partnerships    and  co-­‐ funded  programs  lie  at  the  basis  of   formulaBng    joint  smart  city  strategies   and  shared  innovaBon  agendas.  
  6. 6. Smarter  Ci)es  Cases  q  Helsinki:  innovaBon  cluster  policy,   emphasis  on  open  innovaBon  and   ciBzen  parBcipaBon.  Instruments:   compeBBons  for  innovaBons,   innovaBon  within  pre-­‐commercial   procurement,  living  labs  pilots,  Open   Data,  public-­‐private  partnerships.    q  Manchester:    Neighborhood   regeneraBon  as  starBng  point;    digital   infrastructure,  ciBzen  engagement,   creaBon  of  “virtuous  cycles”  q  Barcelona:  urban  development  policy,   main  components  of  the  Smart  City   strategy  include  Smart  districts,  living   labs  iniBaBves,  e-­‐Services,   Infrastructures  and  Open  Data.      
  7. 7. Barcelona smart city developmentLeading role of City Hall Smart  city  Strategy   SC  Management   • Kiosks • 22@net • Barc  activa • Internal  gov • Tech  park • Open  data • Urban  Lab • 3D  projects SMART   SMART   • Strategic  plan " Smart  Districts:   "   CreaBon  of  networks  of   GOVERNA NCE ECONOMY 22@Barcelona;  triple   actors,  organisaBons,   helix  collaboraBons   departments   SMART   LIVING SMART     PEOPLE " Living  Lab  ini)a)ves:   "   Broadband  network  and  • Municipal  Police • Cibernarium 22@Urban  Lab,  Live,   sensor  data  management  • New  incidents  tools• Intel  environments • Citilab  Cornella Bdigital,  i2Cat,  Fablab,   "   CreaBon  of  proof  of   Cornella   concepts  for  systems  and   Smart  city  model:   " Infrastructure   applicaBons   building:  tradiBonal   Three  pillars   and  new.  IntegraBon  of   Challenges "   Ubiquitous   ICT.  From  fibre  opBc  to   "   Demand  for  human   Wi-­‐Fi.   capital  and  skills   infrastructures   " New  services  to   "   VC  funding  for  innovaBon   "   InformaBon  from   ci)zens:  gov,  quality  of   life,  professional   "   Low  global  connecBvity   sensors,  open  data,   Open  data:  sensors,   "   Development  of  triple   and  ciBzens   " helix  alliances   open  standard,  and  city   "   Human  capital,  actors,   plaeorm   "   CollaboraBon  between   communiBes     government  departments  
  8. 8. Thessaloniki smart city developmentICT transforming city activities and ecosystemsBroadband  networks   Apps  and  e-­‐services:     Planning  for  Smart  by  large  companies   BoQom-­‐up  ini)a)ves   district  "   ADSL:  24/1  Mb   " City  representaBon     "   Development  of    wired   " City  sectors   and  wireless  networks  "   Fibre  opBc  net:  2,5  Gb   " City  districts   "   Free  Internet  to  users  "   3G-­‐HSDPA:  42  Mb   " CiBzens.  AggregaBon  /   and  business.     collecBve  content    "   Wireless:  free     " City  administraBon  and   "   Smart  environments   (municipal  nets)   social  services   based  on  sensors     " LocaBon-­‐based  services   "   e-­‐services  suitable  for   " City  infrastructure  and   the  community  of  each   uBliBes   district     " City  management   "   Training  services  for   involvement  of  end-­‐users   Governance  challenges:       Three  gaps  to  address   (1) Digital  skills  gap  -­‐  TRAINING   (2) CreaBvity  gap  –  LIVING  LABS   (3) Entrepreneurship  gap  –   BUSINESS  MODELS  
  9. 9. Manchester smart city developmentDigital strategies and smart environments for urban renewalUrban  regenera)on   Digital  Strategy   Toward  Smart  City   Flagship  ini)a)ves  "   Since  mid-­‐1980s  the   Started  in  2008  and  review   "   East  Manchester:  a   City  Council  embarked   in  2011  with  respect  to   regeneraBon  challenge   EU  Digital  Agenda  and   "   Eastserve:    first  Living  Lab   on  city  regeneraBon   consulBng  with  local   "   Corridor  Living  lab  NGA  Ø  Drive  economic  change   stakeholders.  Main   project   through  technology   objecBves:   "   Next  generaBon  open  Ø  Focus  on   " Digital  inclusion,   access  fibre  opBc   generate  skills  and   network   neighborhood  focused   tackle  the  divides   Principles  for  Smart  Ci)es   acBon,  creaBve  city,   " Digital  industries,   "   Neighbourhood     and  innovaBon   new  employment,   regeneraBon  as  starBng   point  for  a  smart  city  "   In  1990s  Manchester   cluster  of  digital  and   "   Digital  collaboraBons   creaBve  businesses   through  Living  Labs   telemaBcs  Partnership     " Digital  innova)on:   "   Pulng  people  at  the  "   Currently,  e-­‐services  to   working  with  the  future   heart  of  the  agenda   address  inequaliBes   Internet  research   "   An  inclusive  and   and  digital  democracy     community  to  support   sustainable  approach  to   Manchester  as  Smart   digital  development    "   Balance  of  top-­‐down   City   "   Exemplar  projects     and  bo^om-­‐up  acBons    
  10. 10. Helsinki smart city developmentLiving Labs and new clusters for smart city strategy A  Porterian  cluster  in  mobile  technology  is   emerging  in  Helsinki.     "   Clustering  strengthens  moBvaBon,   incenBves,  innovaBon,  and  enables   externaliBes  .   "   The  mobile  applicaBons  cluster  is   sustaining  Helsinki  ‘s  Smart  City  strategy     Factor  condi)ons:   Demand  condi)ons:   Firm  strategy:     Suppor)ng  industries:   Broadband,    telecoms,   Government  demand,   Companies  within   Broadband  infrastructure,   NOKIA,  skilled   banking  ,   SMOPEC,  global   3G  nets,    specialized     workforce,  start-­‐ups   transportaBon,  etc   markets,  intense  local   service  providers       compeBBon    Compe))ons  for  Open  Data  apps  as  strategy  for  cluster  development  "   The  Helsinki  Regions  made  available  public  transportaBon  data  "   Apps4Finland  makes  data  available  related  to  environment  and  spaBal  informaBon  "   CompeBBons  and  Living  Labs    as  drivers  for  the  M-­‐cluster  development    
  11. 11. Empowerment  Examples  q  Thessaloniki:  emergence  of  developer   communiBes:  e-­‐services  and   applicaBons  e.g.  mobility  services  q  Oulu:  PATIO  (test  user  community   tool):  empower  ordinary  people  to   experiment  new  services  q  Manchester:  Digital  City  Test-­‐Bed  (as   a  vision)  q  Barcelona:    22@Urban  Lab:  city  as   urban  lab,  pilot  programs,  use  of   public  spaces,  e.g.  Open  data  q  Helsinki:    compeBBons  for  innovaBve   applicaBons  e.g.  Apps4Finland;   InnovaBve  City  program;  Open  Data   business  development  iniBaBves  
  12. 12. Smart  ci)zens  and  Open  Data  –   Helsinki  examples   Tell-on-the-Mapq Smart  city  –  service   – map-based organisaBon  in  an   Commentary tool, enabling a innovaBve   dialogue environment   between citizens and cityq ExploiBng  available   informaBon   Apps4Finland competition –q Idea  incubators  use  city   Helsinki Public data  –  Apps4Finland   Transport compeBBon   Visualisedq Open  interfaces  are  an   Service Map: important  step  in  the   open information channel about development  of     offices and the  City’s  systems   services
  13. 13. Smart  city  strategies  implementa)on   prospects  and  boQlenecks:  SWOT  Strengths   Opportuni)es  •   Cultural  heritage,  a^racBveness     •   CompeBBveness  of  local  clusters  •   Development  strategies,  planning   •   ExploiBng  service  innovaBon  •   Broadband  network  deployment   opportuniBes  towards  new  business  •   Major  development  iniBaBves   •   OpportuniBes  for  local  ICT  sectors  and   entrepreneurship   •   Introducing  parBcipatory  city  planning  Weaknesses   Threats  •   Top  down  orientaBon  to  planning   •   Economic  crisis,  lack  of  resources  •   Lacking  a^enBon  to  concrete  needs  of   •   Vulnerable  business  models  for  ciBzens  and  SMEs   sustainability  of  public  sector  iniBaBves  •   Digital  gaps   •   Low  level  of  private  investment  in  R&D  •   Lacking  orientaBon  on  entrepreneurship   and  innovaBon  •   Weak  policy  and  funding  instruments   •   Weak  insBtuBonal  environments  for  •   Impact  and  benefits  measurement   technology  and  innovaBon  
  14. 14. Comparing  the  smart(er)  city  cases   Helsinki   Thessaloniki   Manchester   Oulu   Barcelona  Concept   Smart  City   Intelligent  CiBes   Urban   City  of   Social  and   cluster,  Mobile   regeneraBon   InnovaBon   urban  growth  Strategies   Knowledge   Building  smart   Tackling  skills   Technology   Smart   intensive   districts   and  divides   Ubiquitous   districts,   cluster  building   AgglomeraBon  of   Pro-­‐acBve   Oulu   Urban  Living   Apps   approach   Lab  Drivers   Strengthen  the   ICT  and   Economic   Policy  and   Policies  of  city   region   infrastructure   development   strategies  of   hall;  triple     deployment   Oulu   helix  Challenges   Human  capital   Digital  skills  gaps   Common   Adapt  policy   Enhancing   base   CreaBvity  gap   digital  agenda   instruments  to   collaboraBon;   Entrepreneurship   create   human   gap   business   capital  /  skills,   funding  Innova)on   Public  private   InnovaBon   Living  labs  and   Strong  PPP   City  hall  ecosystem   partnerships   clusters   local  acBon   programmes,   leadership;   CompeBBon  for   Technology   triple  helix,   Triple  Helix   innovaBon   districts   urban  lab   models  
  15. 15. Smart  Ci)es  cases  -­‐  lessons  learned  q  Smart  city  is  more  an  urban  strategy  than  an  urban  reality.  Smart  ciBes  will   appear  through  numerous  bo^om-­‐up  iniBaBves  besides  some  strategic   planning,  and  infrastructure  development.  q  Top-­‐down  planning  and  bo^om-­‐up  iniBaBves  should  complement  each   other.  City  hall  is  someBmes  dominant.  Dilemmas  of  ciBzen  engagement.  q  Widespread  use  of  pilots  is  preparing  ciBes  for  iniBaBve,  experiment  and   learning  q  Districts,  neighborhoods,  and  clusters  are  fundamental  elements  of  smart   city  strategy,  because  the  city  is  a  system  of  systems,  and  ciBes  co-­‐exist   within  ciBes.  q  A  smart  city  strategy  involves  all  actors,  organizaBons,  communiBes,  R&D,   NGOs,  clusters,  and  authoriBes.  The    partnership  strategy  should  achieve  a   common  vision,  flagship  projects,  collaboraBon  and  synergy.  q  Major  challenges  for  successful  smart  city  strategies  deal  with  skills,   creaBviBes,  user-­‐driven  innovaBon,  entrepreneurship,  VC  funding,  and   management  of  intra-­‐government  rivalries.  q  Lack  of  evidence  on  impact  and  effecBveness  of  smart  city  strategies.  
  16. 16. Smart  city  innova)on  ecologies    enabled  by  “common  assets”   q  Future  Internet   testbeds  as  technology   plaeorms   q  Smart  ciBes:  policies,   applicaBon  pull,  public   data,  ciBzens  iniBaBves   q  Living  lab:  User-­‐driven   playground    for  co-­‐ creaBng    and  validaBng   innovaBve  scenarios   and  services  
  17. 17. Examples  of  evolving  smart  city     “innova)on  ecologies”  q  Bretagne:  ImaginLab  testbed  explores   advanced  applicaBons    in  living  lab   selng,    offering    wide  range  of  services,   enabled  by  advanced  infrastructure,   based  on  partnership  business  model  q  Oulu:  Octopus  network,  InnovaBon   Kitchen,  Open  Web  Lab,  LearnLab,   ImaginLab Ubiquitous  Oulu  and  many  more  q  Barcelona:  a  diverse  set  of    network   infrastructures,  faciliBes,  iniBaBves   (22@UrbanLab),    living  labs,  projects,   planning  acBviBes,  partnerships  q  Manchester:  advanced  infrastructure  of   open  access  fibre  to  premises;  support   creaBon  of  ;  co-­‐ownership  approaches   Manchester
  18. 18. Simple  models  for  concurrent  use  of  testbed  and  living  labs  facili)es    
  19. 19. Developing  into  a  smart  city  requires   “systemic  change”     q   An  innovaBon  roadmap  is  a  tool  for  creaBng  consensus  and  understanding     about  potenBal  futures  and  about  the  pathways  towards  these  futures   Present   Short  term   Mid  term   Long  term   Urban     development   Policies  and   strategies   ICT-­‐based   solu)ons   Technology   development  q Understanding  smart  city  dynamic  development  as  “systemic  change”    requires  understanding  of  interplays  and  co-­‐evoluBon  regarding    technology  developments,  human  behaviours,  policies  and  strategies  q Living  Labs,  policy  experiments  may  act  as  “niches”                where  opportuniBes  are  provided  for  limited  scale    innova)on  and  learning    (introducBon,  use,  evaluaBon,  modificaBon  -­‐>  wider  scale  adopBon)  
  20. 20. Changes  and  developments  q  Increasing  deployment  of  broadband  infrastructure  and  creaBon  of  open   networks  and  open  data  repositories  q  Many  ciBes  are  developing  Smart  City  strategies,  in  the  context  of  urban   development,  sustainable  growth,  revitalisaBon,  and  innovaBon  districts    q  Increasing  parBcipaBon  and  empowerment  of  ciBzens  in  societal  issues,   using  social  media  and  open  data  on  a  wider  scale  q  Increasing  interest  for  wider  scale  tesBng  of  services  and  soluBons  e.g.   energy  efficiency,  healthcare,  environment  monitoring,  mobility  q  Diversity  of  technologies  for  smart  city  applicaBons  is  becoming  rapidly   available  (mobile  broadband,  cloud  compuBng,  open  data,  smart  devices,   content  management,  Web  2.0)  q  User  driven  open  innovaBon  in  ciBes  (e.g.  Crowd  sourcing  services  based   on  sensor  data)  is  gaining  more  a^enBon  q  All  kinds  of  city  managed  data  could  become  publicly  available  to  promote   crowdsourced  services  and  bo^om-­‐up  innovaBon  (may  also  be  misused)  
  21. 21. Technologies  for  smart(er)  ci)es  Technology  area   Main  developments  in  rela)on  to  smart  ci)es  Cloud  compuBng   q Urban  clouds  reducing  IT  costs  and  providing  plaeorms  for  small   business  applicaBons  and  e-­‐services   q VirtualizaBon  of  physical  spaces   q StandardisaBon  of  plaeorms  and  applicaBons  for  smart  ciBes  Real-­‐world  user   q IoT  sensor  networks  in  combinaBon  with  Web  2.0,  social  media,  interfaces,  RFID   crowdsourcing  providing  opportuniBes  for  collecBve  intelligence   q Urban  IoT  plaeorms  offering  common  framework  for  ambient   sensor  networks  SemanBc  web,   q Open  Data  from  various  sources  offer  opportuniBes  for  advanced  Linked  data,   intelligence  e.g.  Detect  pa^erns,  generate  alerts,  visualize  Ontologies   informaBon,  predict  trends   q SemanBc  Web  enhances  opportunity  to  merge  different  categories   of  data   q Enables  content  and  context  fusion,  immersove  mulB-­‐sensory   environments,  locaBon  based  context  aware  content   q Enhanced  opportuniBes  for  user  involvement  and  user  generate   content  
  22. 22. Innova)on  roadmap  for  smart  ci)es  REGIME &  Future  Internet   Short term (2014) Medium term (2017) Long term (2022)Technological change -CLOUD: Virtualisation -CLOUD: Web platform -CLOUD: PaaS for smart cities(Dominant designs, emerging -CLOUD: IaaS for smart cities -CLOUD: SaaS for smart cities -CLOUD: Service integrationtechnologies, interoperability) - Content-context fusion -IoT: RFID -IoT: Multimodal sensors -IoT: Urban IoT platforms -IoT: Speech recognition -IoT: Location aware apps, -IoT: Cloud based ontologies -IoT: Open data apps -Content-centric networksIndustrial change -CLOUD: Large companies clouds, -CLOUD: Large cities clouds -CLOUD: Standardisation of smart city(Networks of technology developers, Google, MS, Amazon global clouds applications / serviceslobbying, standardisation) -IoT: Sensors into utilities and energy -IoT: Alliances of large companies and -IoT: Large scale applications networks major cities companiesSocial change -CLOUD: Reduction of IT costs -CLOUD: Security issues raised -CLOUD: Continuity of service(Behaviour, routines, values, -CLOUD: Disaster management -CLOUD: Learning curvepreferences, demand, end-users) addressed - IoT: Experimental facilities -IoT: Multiple city pilots -IoT: Large scale demand for sensor- -IoT: A few city pilots based city infrastructurePolicy change -CLOUD: Transition white papers -CLOUD: Pilots at city levels -CLOUD: Whole smart cities on the(Regulations, economic instruments, -CLOUD: Preparing to the cloud -CLOUD: Legal and regulatory reform Cloudgovernance, agreements)NICHES of Short term (2014) Medium term (2017) Long term (2022)radical noveltiesTechnological change -CLOUD: SaaS -CLOUD: PaaS -CLOUD: IaaS -IoT: Experimental facilities -IoT: M2M in city environments -IoT: Open / linked dataIndustrial change -CLOUD: Private and hybrid clouds -CLOUD: SaaS and PaaS in the main -CLOUD: Hosting of G city services domains of cities -IoT: IPv6 and HTML5 -IoT: Smart gird / smart meters in citiesSocial change -CLOUD: Pilot city applications in city -CLOUD: Large scale demand of smart utilities, districts, and gov city applications and services -IoT: Sensors for city environment alert -IoT: Embedded city intelligence proof of -IoT: Extended demand for sensor over concept city networksPolicy change -CLOUD: Government roadmaps to G -CLOUD: Standards development and services adoption -CLOUD: US reform of IT management -IoT: China encouraging technologies -IoT: FP8 IoT PPP for IoT -IoT: Harmonisation of frequency bands
  23. 23. Implemen)ng  the  development   process  towards  local  digital   PhasesMajor  issues agendas  efini)on 1.  Incep)on: 2.  D 3.  Opera)on 4.  SustainabilityInfrastructure   IdenBfy  availability   User  requirements   ImplementaBon  plan   Plan  for  future  and  resources:   and  access   defined  and  agreed;   agreed  and   operaBon  agreed  with  access  and   requirements infrastructure   operaBonal;  user   infrastructure  and  availability   accessible  and   groups  established  and   resource  owners   agreements  in  place workingCollaboraBon   IdenBfy  partners   Analyse  benefits  vs   CollaboraBon   EvaluaBon  of  benefits,  and  business   and  condiBons  for   costs  and  agree   processes  monitored   costs  and  risks  together  models collaboraBon jusBficaBon  and   and  supported  during   with  lessons  learned   arrangements  for   the  experimentaBon and  plans  for  future   collaboraBon operaBon  based  on  thisInnovaBon  and   Agree  aims,   InnovaBon  should  be   Management  plan   IdenBfy  results  and  project  definiBon objecBves,  benefits   clearly  defined,   agreed  with   benefits  for  partners   of  innovaBon prepared  and   monitoring  and   and  stakeholders planned planned  resultsInvolvement  and   IdenBfy  partners   Roles  of  partners  and   Co-­‐creaBon  evolving  in   Commitment  for  future  support and  stakeholders stakeholders  agreed pracBce parBcipaBonStakeholder   Agree  process  for   Matching  of  needs   User  groups   Co-­‐producBon  potenBal  engagement engagement together  with   established  linked  to   idenBfied  and  agreed   experience  and/or   partners  and   between  users,   experBse stakeholders partners  and   stakeholders
  24. 24. Summary  roadmap  towards  a   smarter  city,  example  Manchester  Developments  and  changes Future  vision Challenges  and  gaps F u t u r e   s o l u ) o n s   a n d   innova)on  needsDigital  infrastructure: Connected  ciBes: Sustainable  business  cases: U b i q u i t o u s   s m a r t   c i t y  Corridor  digiBsaBon  fibre   • Extending  fibre  and  wireless   • ImplemenBng  new  mutuals   infrastructures:project across  the  city  region &  social  enterprises • Infinite  bandwidth,  zero  Low  Carbon  Open  Data   • Developing  new  mutual   • Co-­‐producBon  of  services latency  (IBZL)(LoDaNet)  project  and   business  models • Everyone,  everything,  wireless  roll-­‐out everywhereSmart  City  strategy: CollecBve  intelligence: InnovaBon  economy: InnovaBon  culture:• InnovaBon  legacy  from   • Capacity  building   • Investment  in  digital   • InspiraBon  &  aspiraBonKnowledge  Capital  InnovaBon   • Access  to  skills infrastructure • Convergence  of  digital,  Boardroom • Matching  skills  to  jobs • Internet  Hub creaBve  and  technical• Digital  inclusion  iniBaBves • Open  data  networks • IncubaBon  of  new  start-­‐ups • Mutual  aid• Green  &  DigitalCiBzens  engagement: Co-­‐producBon: Digital  inclusion: O p e n   a n d   p a r B c i p a B v e  • Smart  CiBzens  in  Smart   • Test-­‐beds  for  new  services • Barriers  to  access innovaBon  systems:CiBes  –  SMARTiP  project • Developing  new  delivery   • Trust  &  privacy  issues • Co-­‐creaBng  and  sharing  of  • Peoples  Voice  Media  &   models • IncenBves  for  engagement new  assetscommunity  reporters • Support  for  new  skills  &   • Sustaining  commitment • People  as  sources  of   training interacBve  data  and  servicesInnovaBon  test-­‐bed: Common  assets: Technology  push: New  partnerships:• Manchester  Living  Lab • Open  data  and  services • Dangers  of  “smart  city  in  a   • Four  P’s:  public,  private,  • Corridor  projects • Accessible  and  affordable   box” people  partnerships• Manchester  Digital connecBvity • Corporate  resistance  to   • Smart  open  systems• Sharp  project change • Co-­‐producBon • Legacy  systems
  25. 25. Challenges  for  next  years  q  Networks  of  Future  Internet  testbed  faciliBes  and  living  labs  within  and   across  smart  ciBes  and  regions  may  become  the  backbone  of  European   innovaBon  ecologies  and  value  networks  –  Horizon  2020  q  CapabiliBes  and  resources,  including  experiment  faciliBes  ,  user  oriented   methodologies,  service  offerings  and  collaboraBon  models  enabling  access   and  use  of  faciliBes  and  services  should  evolve  q  Smart  CiBes  are  environments  to  experiment  technologies  and  applicaBons,   however  the  potenBal  for  business  creaBon  and  entrepreneurship  should  be   sBmulated  (e.g.  DAIR,  Canada)  q  Open  innovaBon  and  ciBzen  empowerment  requires  finding  new  balances   between  top-­‐down  steering  and  bo^om-­‐up  iniBaBve    q  Assessment  of  the  impact  and  benefits  of  “smarter  ciBes”  in  terms  of  value   created  for  ciBzens.  There  is  a  lack  of  evidence  showing  impact,  how  can  we   achieve  and  measure  the  impact  and  value  added  of  smart  city  iniBaBves?  
  26. 26. Here  you  find  more  Download  from  www.fireball4smartci)    
  27. 27.  Call  for  Papers:  Smart  Applica)ons  for  Smart  Ci)es:  New   Approaches  to  Innova)on    Special  issue  of  the  Journal  of  Theore3cal  and  Applied   Electronic  Commerce  Research    Guest  Editors:  Hans  Schaffers,  Carlo  Ral  and  Nicos  Komninos      Full  paper  submission:  May  2012    Publishing:      December  2012    InformaBon:    
  28. 28. Thank  you  !   Discussion   Contact: