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Mar	
  Pérez-­‐Sanagus/n	
  
2013	
  July,	
  Madrid	
  
Coordinators	
  
•  Carlo	
  Giovannella	
  (Dept.	
  of	
  Educa.on	
  Science	
  and	
  Technologies	
  o&	
  Iad	
  School,	
  University	
  of	
  Rome	
  Tor	
  
Vergata,	
  Italy)	
  
•  Alke	
  Martens	
  (PH	
  Schwäbisch	
  Gmünd	
  University	
  of	
  Educa.on,	
  Germany)	
  
Par3cipants	
  
•  Nikolaos	
  Avouris	
  
•  Vicenzo	
  Del	
  Fa<o	
  
•  Jesko	
  Elsner	
  
•  Carlo	
  Giovannella	
  
•  Andrea	
  Gobbi	
  
•  Mar	
  Pérez-­‐SanagusDn	
  
•  Chiara	
  Rossi<o	
  
•  Bingxue	
  Zhang	
  
•  Imran	
  Zualkernan	
  
Website:	
  h=p://www.mifav.uniroma2.it/inevent/events/scl13/index.php?s=156	
  
1.	
  Smart	
  city	
  
2.	
  Smart	
  ciNes	
  Learning	
  
3.	
  Papers	
  presented	
  
4.	
  Grand	
  Challenge	
  
5.	
  Outcomes	
  and	
  acNviNes	
  
1.	
  Smart	
  
city:	
  the	
  
concept	
  	
  
“The	
  smart	
  city	
  can	
  be	
  defined	
  as	
  the	
  integraNon	
  of	
  
technology	
  into	
  a	
  strategic	
  approach	
  to	
  sustainability,	
  
ciNzen	
  well-­‐being,	
  and	
  economic	
  development”	
  
	
   	
   	
  (Woods,	
  E.	
  &	
  Blooms,	
  E.,	
  2011)	
  
	
  
“A	
  Smart	
  City	
  is	
  one	
  that	
  is	
  able	
  to	
  link	
  physical	
  capital	
  
with	
  social	
  one,	
  and	
  to	
  develop	
  be=er	
  services	
  and	
  
infrastructures.	
  It	
  is	
  able	
  to	
  bring	
  together	
  technology,	
  
informa3on,	
  and	
  poli3cal	
  vision,	
  into	
  a	
  coherent	
  program	
  
of	
  urban	
  and	
  service	
  improvements”	
  
(Smart	
  Ci.es,	
  Ranking	
  of	
  European	
  medium-­‐sized	
  ci.es”,	
  2007)	
  (Final	
  report	
  )	
  
	
   	
   	
  	
  
Smart	
  city:	
  aproaches	
  
	
  
People-­‐centred	
  approach	
  
Ci.es	
  as	
  an	
  space	
  of	
  
rela.onships,	
  cultural	
  
stra.ficaion	
  and	
  iden.ty	
  
	
  
Top	
  down	
  approach	
  
Ci.zens	
  are	
  “consumers”	
  of	
  	
  a	
  smart	
  infrastructure	
  
Bo<on-­‐up	
  approach	
  
Enhance	
  ci.zens’	
  par.cipa.on	
  
Figure adapted from the presentation by Carlo Giovanella @ARV 2013
2.	
  Smart	
  CiNes	
  Learning	
  
	
  
"The	
  theme	
  of	
  the	
  transforma)on	
  of	
  the	
  
learning	
  modali)es	
  that	
  may	
  be	
  induced	
  by	
  
the	
  transforma.on	
  of	
  living	
  places	
  in	
  smart	
  
territories,	
  ci.es	
  and	
  villages	
  is	
  a	
  new	
  theme	
  
whose	
  relevance	
  will	
  grow	
  more	
  and	
  more	
  in	
  
the	
  near	
  future."	
  
WS	
  Webpage:	
  h=p://www.mifav.uniroma2.it/inevent/events/scl13/index.php?s=156	
  
January,	
  28-­‐	
  February,	
  1st	
  2013	
  	
  
3.	
  Papers	
  presented	
  
	
  
Papers	
  presented:	
  techological	
  developments	
  
•  ZHANG,	
  B.	
  et	
  al,	
  Contextual	
  Learning	
  System	
  for	
  Professional	
  Educa.on	
  in	
  the	
  “Smart	
  
City”	
  (Presented	
  by	
  Bingxue	
  ZHANG)	
  
–  Challenge:	
  How	
  to	
  maintain	
  professionals’	
  working	
  environment	
  and	
  working	
  condiNons	
  in	
  order	
  to	
  
improve	
  working	
  efficiency	
  and	
  enhance	
  companies	
  performance?	
  
–  Approach:	
  ExploiNng	
  contextual	
  learning	
  systems	
  based	
  on	
  “Electronic	
  Performance	
  Support	
  
System”	
  (EPSS)	
  
•  KALZ,	
  M.	
  	
  et	
  al.	
  EMuRgency	
  (Presented	
  by	
  Jesko	
  ELSNER)	
  
–  Challenge:	
  How	
  to	
  increase	
  the	
  awareness	
  and	
  knowledge	
  about	
  cardiac	
  arrest	
  to	
  improve	
  the	
  rate	
  of	
  
cardiopulmonary	
  resuscitaNon?	
  
–  Approach:	
  EMuRgency,	
  a	
  project	
  for	
  building	
  up	
  a	
  ciNzens’	
  aware	
  systems	
  for	
  increasing	
  awareness-­‐	
  
web,	
  mobile	
  and	
  ambient	
  display	
  technologies	
  as	
  a	
  communicaNon	
  support.	
  
•  SINTORIS,	
  C.	
  et	
  al	
  Discovering	
  the	
  invisible	
  city:	
  Game	
  design	
  for	
  learning	
  in	
  
technology	
  enhanced	
  places	
  (Presented	
  by	
  Nikolaos	
  AVOURIS)	
  
–  Challenge:	
  How	
  to	
  design	
  locaNon-­‐based	
  mobile	
  games	
  supporNng	
  learning	
  in	
  technology	
  enhanced	
  
public	
  spaces?	
  
–  Approach:	
  AdaptaNon	
  of	
  the	
  “Mafia”	
  tradiNonal	
  game	
  to	
  the	
  city	
  using	
  mobile	
  devices	
  –	
  SpaNal	
  
Expansion,	
  Situated	
  play	
  and	
  ImplementaNon.	
  
•  DEL	
  FATTO,	
  V.	
  &	
  DODERO,	
  G.	
  Geographic	
  Learning	
  Objects	
  in	
  Smart	
  City	
  Context	
  
(Presented	
  by	
  Vicenzo	
  DEL	
  FATTO)	
  
–  Challenge:	
  How	
  topics	
  from	
  Geographic	
  InformaNon	
  and	
  eLearning	
  Systems	
  can	
  be	
  mixed	
  to	
  provide	
  
learning	
  content	
  in	
  the	
  Smart	
  City.	
  
–  Approach:	
  Geographic	
  Learning	
  Objects	
  (GLOs)	
  –	
  Learning	
  Object	
  Repositories	
  and	
  Metadata.	
  
•  ROSSITO,	
  C.	
  &	
  CERRATTO-­‐PARGMAN,	
  T.,	
  Smart	
  Ci.es	
  as	
  New	
  Places	
  fro	
  
New	
  People	
  (Presented	
  by	
  Chiara	
  ROSSITO)	
  
–  Challenge:	
  Informal,	
  lifelong	
  learning	
  within	
  ciNes	
  fro	
  encouraging	
  inter-­‐cultural	
  communicaNon	
  and	
  
common	
  sense	
  of	
  belonging.	
  
–  Approach:	
  An	
  interdisciplinary	
  approach	
  (intercultural	
  learning,	
  parNcipaNon	
  in	
  communiNes,	
  
displacement	
  and	
  place-­‐making	
  with	
  ethnographic	
  invesNgaNons	
  oriented	
  towards	
  the	
  analysis	
  of	
  
technology	
  use	
  and	
  design)	
  for	
  facing	
  issues	
  of	
  mobility	
  and	
  migraNon	
  benefiNng	
  from	
  the	
  
technological	
  infrastructure	
  of	
  the	
  Smart	
  City.	
  
•  GOBBI,	
  A.	
  &	
  SPINA,	
  S.	
  Smart	
  Ci.es	
  and	
  Languages:	
  The	
  Language	
  Network	
  
(Presented	
  by	
  Andrea	
  GOBBI)	
  
–  Challenge:	
  Analyze	
  the	
  potenNal	
  of	
  smart	
  ciNes	
  from	
  a	
  linguisNc	
  perspecNve.	
  
–  Approach:	
  Language	
  as	
  a	
  social	
  construct.	
  Smart	
  city	
  infrastructure	
  as	
  a	
  chance	
  for	
  the	
  physical	
  
realizaNon	
  of	
  the	
  language	
  network.	
  
	
  
Papers	
  presented:	
  Intercultural	
  approaches	
  
•  ZUALKERNAN,	
  I.	
  Designing	
  Sustainable	
  Life-­‐Long	
  Learning	
  Architectures	
  in	
  the	
  
Developing	
  World	
  (Presented	
  by	
  Imran	
  ZUALKERNAN)	
  
–  Challenge:	
  Facing	
  infrastructural	
  constraints	
  for	
  supporNng	
  smart	
  learning	
  communiNes	
  in	
  the	
  
developing	
  world	
  
–  Approach:	
  Design	
  methodology	
  based	
  on	
  incorporaNng	
  infrastructural	
  constraints,	
  the	
  various	
  Nme-­‐
scales	
  for	
  learning	
  an	
  the	
  nature	
  of	
  knowledge	
  that	
  needs	
  to	
  be	
  learned	
  to	
  suggest	
  sustainable	
  future	
  
architectures	
  for	
  learning	
  communiNes	
  for	
  the	
  developing	
  world.	
  
•  PÉREZ-­‐SANAGUSTÍN,	
  M.	
  et	
  al.	
  Mul.-­‐channel,	
  mul.-­‐objec.ve,	
  mul.-­‐context	
  
services:	
  The	
  ‘glue’	
  of	
  the	
  smart	
  ci.es	
  learning	
  ecosystem	
  (Presented	
  by	
  Mar	
  
PÉREZ-­‐SANAGUSTÍN)	
  
–  Challenge:	
  How	
  to	
  design	
  services	
  to	
  support	
  glocal,	
  reciprocal	
  and	
  mulN-­‐episodic	
  lifelong	
  learning	
  
processes	
  in	
  digital	
  urban	
  spaces.	
  
–  Approach:	
  Three	
  we	
  a=ributes	
  that	
  services	
  for	
  smart	
  city	
  learning	
  has	
  to	
  fulfill:	
  mulN-­‐channel,	
  mulN-­‐
objecNve	
  and	
  mulN-­‐context.	
  
Papers	
  presented:	
  frameworks	
  
4.	
  Grand	
  Challenge	
  
Support	
  the	
  development	
  of	
  	
  
People	
  Centered	
  Smart	
  CiNes/
Territories	
  
	
  through	
  	
  
Smart	
  City	
  Learning	
  
•  Step	
  1:	
  Informal	
  Interviews	
  to	
  local	
  policy	
  makers	
  based	
  
on	
  online	
  quesNonnaires	
  and	
  iniNal	
  brainstorming	
  
•  Step	
  2:	
  Guided	
  tour	
  and	
  in	
  “place”	
  unstructured	
  
interviews	
  
•  Step	
  3:	
  Analysis	
  of	
  the	
  collected	
  elements	
  and	
  iniNal	
  
design	
  brainstorming	
  
•  Step	
  4:	
  Design	
  sessions	
  in	
  smart	
  groups	
  
•  Step	
  5:	
  PresentaNons	
  of	
  concepts	
  and	
  focus	
  group	
  to	
  
gather	
  feedback	
  
	
  
a)	
  Methodology	
  
Villard	
  de	
  Lans	
  as	
  a	
  case	
  study	
  
•  Increase	
  a<rac3veness	
  of	
  the	
  village	
  with	
  new	
  services	
  
forfamily	
  and	
  children	
  
•  Support	
  social	
  interac3on	
  to	
  enhance	
  responsibility	
  in	
  
the	
  development	
  community	
  &	
  increase	
  sense	
  of	
  
belonging	
  
•  Sustain	
  and	
  integrate	
  elderly	
  and	
  reNred	
  people	
  
•  Sustainable	
  development	
  of	
  acNviNes	
  
•  Integra3on	
  of	
  village/mountain	
  community	
  services	
  
b)	
  Needs	
  detected	
  
Villard	
  de	
  Lans	
  as	
  a	
  case	
  study	
  
Learning	
  about	
  the	
  Villard	
  LIFE	
  by	
  monitoring	
  the	
  relevant	
  
traces	
  and	
  extrac3ng	
  emergent	
  behaviors	
  
	
  
•  weSmartVillard	
  Card:	
  NFC	
  based	
  
–  Get	
  informaNon	
  from	
  the	
  village	
  
–  Payment	
  with	
  local	
  currency	
  
–  Support	
  the	
  organizaNon	
  of	
  the	
  bank	
  of	
  Nme	
  and	
  skills/
competences	
  
•  Bank	
  of	
  3me	
  and	
  skills/competences:	
  
–  Foster	
  social	
  exchange	
  &	
  Community	
  of	
  belonging	
  
–  InteracNon	
  between	
  local	
  members	
  and	
  tourists	
  
–  Accumulate	
  bonus	
  to	
  get	
  reward	
  
•  Learning	
  through	
  space	
  gamifica3on:	
  Time	
  machine	
  &	
  
SIMS-­‐Villard	
  
–  Displays	
  for	
  transiNons	
  through	
  space-­‐temporal	
  doors	
  
–  SimulaNons	
  of	
  rescources	
  
c)	
  AcNons	
  
Villard	
  de	
  Lans	
  as	
  a	
  case	
  study	
  
5Outcomes	
  &	
  acNviNes	
  
•  InternaNonal	
  Observatory	
  on	
  
Smart	
  City	
  Learning	
  
•  PublicaNons:	
  
–  PÉREZ-­‐SANAGUSTÍN,	
  M.,	
  BUCHEM,	
  I.	
  &	
  DELGADO	
  KLOOS,	
  C.	
  
Mul)-­‐channel,	
  mul)-­‐objec)ve,	
  mul)-­‐context	
  services:	
  The	
  
‘glue’	
  of	
  the	
  smart	
  ci)es	
  learning	
  ecosystem	
  (Special	
  Issue	
  on	
  
Smart	
  Ci.es	
  Learning,	
  Journal	
  IxD&A)	
  
–  Villard-­‐de-­‐Lans:	
  a	
  Case	
  Study	
  for	
  Collabora)ve	
  People-­‐Centered	
  
Smart	
  City	
  Learning	
  Design,	
  ICALT	
  2013	
  (Accepted)	
  
–  BUCHEM	
  I.	
  &	
  PÉREZ-­‐SANAGUSTÍN,	
  M.	
  Construc)ng	
  Personal	
  
Learning	
  Environments	
  by	
  Educaching	
  in	
  Smart	
  Ci)es,	
  Personal	
  
Learning	
  Environments	
  (Sent)	
  
–  Colaboración	
  con	
  Imran	
  ZUALKERNAN:	
  crowdsourcing	
  
experiences	
  (On	
  data	
  analysis)	
  
	
  	
  
References	
  
•  	
  “Smart	
  ciNes:	
  Ranking	
  of	
  European	
  medium-­‐sized	
  ciNes”,	
  Center	
  of	
  Regional	
  Science,	
  Viena	
  UT,	
  2007	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  
h=p://www.smart-­‐ciNes.eu/download/smart_ciNes_final_report.pdf	
  
•  Woods,	
  E.	
  &	
  Bloom,	
  E.	
  “	
  ExecuNve	
  summary:	
  Smart	
  CiNes”	
  (Research	
  Report),	
  Pike	
  Research,	
  2011.	
  	
  	
  	
  
h=p://www.pikeresearch.com/wordpress/wp-­‐content/uploads/2011/05/SCIT-­‐11-­‐ExecuNve-­‐Summary.pdf	
  
•  Smart	
  CiNes:	
  un	
  primer	
  paso	
  hacia	
  el	
  internet	
  de	
  las	
  cosas,	
  Fundación	
  Telefónica,	
  2011
h=p://www.fundacion.telefonica.com/es/que_hacemos/media/publicaciones/SMART_CITIES.pdf	
  
•  Smart	
  ciNes	
  Exposé:	
  10	
  CiNes	
  in	
  TransiNon,	
  Smart+Connected	
  CommuniNes	
  InsNtute,	
  2012	
  
h=p://www.pageturnpro.com/Cisco/41742-­‐Smart-­‐CiNes-­‐Expose-­‐10-­‐CiNes-­‐in-­‐TransiNon/index.html#1	
  
•  Hoja	
  de	
  	
  Ruta	
  de	
  las	
  Smart	
  CiNes,	
  TECNO,	
  Febrero	
  2012,	
  
=p://www.ctecno.net/wp-­‐content/uploads/2012/03/Hoja-­‐de-­‐Ruta-­‐Smart-­‐CiNes_def.pdf	
  	
  
	
  
	
  
All	
  images	
  in	
  this	
  presentaNon	
  has	
  CreaNve	
  Commons	
  Lisence	
  and	
  have	
  been	
  extracted	
  from	
  Morgue	
  Files	
  
(h=p://www.morguefile.com)	
  	
  
	
  

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Alpine Rendez-Vous 2013: Summary of the Workshop Smart Cities Learning: Horizon 2020

  • 2. Coordinators   •  Carlo  Giovannella  (Dept.  of  Educa.on  Science  and  Technologies  o&  Iad  School,  University  of  Rome  Tor   Vergata,  Italy)   •  Alke  Martens  (PH  Schwäbisch  Gmünd  University  of  Educa.on,  Germany)   Par3cipants   •  Nikolaos  Avouris   •  Vicenzo  Del  Fa<o   •  Jesko  Elsner   •  Carlo  Giovannella   •  Andrea  Gobbi   •  Mar  Pérez-­‐SanagusDn   •  Chiara  Rossi<o   •  Bingxue  Zhang   •  Imran  Zualkernan   Website:  h=p://www.mifav.uniroma2.it/inevent/events/scl13/index.php?s=156  
  • 3. 1.  Smart  city   2.  Smart  ciNes  Learning   3.  Papers  presented   4.  Grand  Challenge   5.  Outcomes  and  acNviNes  
  • 4. 1.  Smart   city:  the   concept     “The  smart  city  can  be  defined  as  the  integraNon  of   technology  into  a  strategic  approach  to  sustainability,   ciNzen  well-­‐being,  and  economic  development”        (Woods,  E.  &  Blooms,  E.,  2011)     “A  Smart  City  is  one  that  is  able  to  link  physical  capital   with  social  one,  and  to  develop  be=er  services  and   infrastructures.  It  is  able  to  bring  together  technology,   informa3on,  and  poli3cal  vision,  into  a  coherent  program   of  urban  and  service  improvements”   (Smart  Ci.es,  Ranking  of  European  medium-­‐sized  ci.es”,  2007)  (Final  report  )          
  • 5. Smart  city:  aproaches     People-­‐centred  approach   Ci.es  as  an  space  of   rela.onships,  cultural   stra.ficaion  and  iden.ty     Top  down  approach   Ci.zens  are  “consumers”  of    a  smart  infrastructure   Bo<on-­‐up  approach   Enhance  ci.zens’  par.cipa.on   Figure adapted from the presentation by Carlo Giovanella @ARV 2013
  • 6. 2.  Smart  CiNes  Learning     "The  theme  of  the  transforma)on  of  the   learning  modali)es  that  may  be  induced  by   the  transforma.on  of  living  places  in  smart   territories,  ci.es  and  villages  is  a  new  theme   whose  relevance  will  grow  more  and  more  in   the  near  future."   WS  Webpage:  h=p://www.mifav.uniroma2.it/inevent/events/scl13/index.php?s=156   January,  28-­‐  February,  1st  2013    
  • 8. Papers  presented:  techological  developments   •  ZHANG,  B.  et  al,  Contextual  Learning  System  for  Professional  Educa.on  in  the  “Smart   City”  (Presented  by  Bingxue  ZHANG)   –  Challenge:  How  to  maintain  professionals’  working  environment  and  working  condiNons  in  order  to   improve  working  efficiency  and  enhance  companies  performance?   –  Approach:  ExploiNng  contextual  learning  systems  based  on  “Electronic  Performance  Support   System”  (EPSS)   •  KALZ,  M.    et  al.  EMuRgency  (Presented  by  Jesko  ELSNER)   –  Challenge:  How  to  increase  the  awareness  and  knowledge  about  cardiac  arrest  to  improve  the  rate  of   cardiopulmonary  resuscitaNon?   –  Approach:  EMuRgency,  a  project  for  building  up  a  ciNzens’  aware  systems  for  increasing  awareness-­‐   web,  mobile  and  ambient  display  technologies  as  a  communicaNon  support.   •  SINTORIS,  C.  et  al  Discovering  the  invisible  city:  Game  design  for  learning  in   technology  enhanced  places  (Presented  by  Nikolaos  AVOURIS)   –  Challenge:  How  to  design  locaNon-­‐based  mobile  games  supporNng  learning  in  technology  enhanced   public  spaces?   –  Approach:  AdaptaNon  of  the  “Mafia”  tradiNonal  game  to  the  city  using  mobile  devices  –  SpaNal   Expansion,  Situated  play  and  ImplementaNon.   •  DEL  FATTO,  V.  &  DODERO,  G.  Geographic  Learning  Objects  in  Smart  City  Context   (Presented  by  Vicenzo  DEL  FATTO)   –  Challenge:  How  topics  from  Geographic  InformaNon  and  eLearning  Systems  can  be  mixed  to  provide   learning  content  in  the  Smart  City.   –  Approach:  Geographic  Learning  Objects  (GLOs)  –  Learning  Object  Repositories  and  Metadata.  
  • 9. •  ROSSITO,  C.  &  CERRATTO-­‐PARGMAN,  T.,  Smart  Ci.es  as  New  Places  fro   New  People  (Presented  by  Chiara  ROSSITO)   –  Challenge:  Informal,  lifelong  learning  within  ciNes  fro  encouraging  inter-­‐cultural  communicaNon  and   common  sense  of  belonging.   –  Approach:  An  interdisciplinary  approach  (intercultural  learning,  parNcipaNon  in  communiNes,   displacement  and  place-­‐making  with  ethnographic  invesNgaNons  oriented  towards  the  analysis  of   technology  use  and  design)  for  facing  issues  of  mobility  and  migraNon  benefiNng  from  the   technological  infrastructure  of  the  Smart  City.   •  GOBBI,  A.  &  SPINA,  S.  Smart  Ci.es  and  Languages:  The  Language  Network   (Presented  by  Andrea  GOBBI)   –  Challenge:  Analyze  the  potenNal  of  smart  ciNes  from  a  linguisNc  perspecNve.   –  Approach:  Language  as  a  social  construct.  Smart  city  infrastructure  as  a  chance  for  the  physical   realizaNon  of  the  language  network.     Papers  presented:  Intercultural  approaches  
  • 10. •  ZUALKERNAN,  I.  Designing  Sustainable  Life-­‐Long  Learning  Architectures  in  the   Developing  World  (Presented  by  Imran  ZUALKERNAN)   –  Challenge:  Facing  infrastructural  constraints  for  supporNng  smart  learning  communiNes  in  the   developing  world   –  Approach:  Design  methodology  based  on  incorporaNng  infrastructural  constraints,  the  various  Nme-­‐ scales  for  learning  an  the  nature  of  knowledge  that  needs  to  be  learned  to  suggest  sustainable  future   architectures  for  learning  communiNes  for  the  developing  world.   •  PÉREZ-­‐SANAGUSTÍN,  M.  et  al.  Mul.-­‐channel,  mul.-­‐objec.ve,  mul.-­‐context   services:  The  ‘glue’  of  the  smart  ci.es  learning  ecosystem  (Presented  by  Mar   PÉREZ-­‐SANAGUSTÍN)   –  Challenge:  How  to  design  services  to  support  glocal,  reciprocal  and  mulN-­‐episodic  lifelong  learning   processes  in  digital  urban  spaces.   –  Approach:  Three  we  a=ributes  that  services  for  smart  city  learning  has  to  fulfill:  mulN-­‐channel,  mulN-­‐ objecNve  and  mulN-­‐context.   Papers  presented:  frameworks  
  • 11. 4.  Grand  Challenge   Support  the  development  of     People  Centered  Smart  CiNes/ Territories    through     Smart  City  Learning  
  • 12. •  Step  1:  Informal  Interviews  to  local  policy  makers  based   on  online  quesNonnaires  and  iniNal  brainstorming   •  Step  2:  Guided  tour  and  in  “place”  unstructured   interviews   •  Step  3:  Analysis  of  the  collected  elements  and  iniNal   design  brainstorming   •  Step  4:  Design  sessions  in  smart  groups   •  Step  5:  PresentaNons  of  concepts  and  focus  group  to   gather  feedback     a)  Methodology   Villard  de  Lans  as  a  case  study  
  • 13. •  Increase  a<rac3veness  of  the  village  with  new  services   forfamily  and  children   •  Support  social  interac3on  to  enhance  responsibility  in   the  development  community  &  increase  sense  of   belonging   •  Sustain  and  integrate  elderly  and  reNred  people   •  Sustainable  development  of  acNviNes   •  Integra3on  of  village/mountain  community  services   b)  Needs  detected   Villard  de  Lans  as  a  case  study  
  • 14. Learning  about  the  Villard  LIFE  by  monitoring  the  relevant   traces  and  extrac3ng  emergent  behaviors     •  weSmartVillard  Card:  NFC  based   –  Get  informaNon  from  the  village   –  Payment  with  local  currency   –  Support  the  organizaNon  of  the  bank  of  Nme  and  skills/ competences   •  Bank  of  3me  and  skills/competences:   –  Foster  social  exchange  &  Community  of  belonging   –  InteracNon  between  local  members  and  tourists   –  Accumulate  bonus  to  get  reward   •  Learning  through  space  gamifica3on:  Time  machine  &   SIMS-­‐Villard   –  Displays  for  transiNons  through  space-­‐temporal  doors   –  SimulaNons  of  rescources   c)  AcNons   Villard  de  Lans  as  a  case  study  
  • 15. 5Outcomes  &  acNviNes   •  InternaNonal  Observatory  on   Smart  City  Learning   •  PublicaNons:   –  PÉREZ-­‐SANAGUSTÍN,  M.,  BUCHEM,  I.  &  DELGADO  KLOOS,  C.   Mul)-­‐channel,  mul)-­‐objec)ve,  mul)-­‐context  services:  The   ‘glue’  of  the  smart  ci)es  learning  ecosystem  (Special  Issue  on   Smart  Ci.es  Learning,  Journal  IxD&A)   –  Villard-­‐de-­‐Lans:  a  Case  Study  for  Collabora)ve  People-­‐Centered   Smart  City  Learning  Design,  ICALT  2013  (Accepted)   –  BUCHEM  I.  &  PÉREZ-­‐SANAGUSTÍN,  M.  Construc)ng  Personal   Learning  Environments  by  Educaching  in  Smart  Ci)es,  Personal   Learning  Environments  (Sent)   –  Colaboración  con  Imran  ZUALKERNAN:  crowdsourcing   experiences  (On  data  analysis)      
  • 16. References   •   “Smart  ciNes:  Ranking  of  European  medium-­‐sized  ciNes”,  Center  of  Regional  Science,  Viena  UT,  2007                                                         h=p://www.smart-­‐ciNes.eu/download/smart_ciNes_final_report.pdf   •  Woods,  E.  &  Bloom,  E.  “  ExecuNve  summary:  Smart  CiNes”  (Research  Report),  Pike  Research,  2011.         h=p://www.pikeresearch.com/wordpress/wp-­‐content/uploads/2011/05/SCIT-­‐11-­‐ExecuNve-­‐Summary.pdf   •  Smart  CiNes:  un  primer  paso  hacia  el  internet  de  las  cosas,  Fundación  Telefónica,  2011 h=p://www.fundacion.telefonica.com/es/que_hacemos/media/publicaciones/SMART_CITIES.pdf   •  Smart  ciNes  Exposé:  10  CiNes  in  TransiNon,  Smart+Connected  CommuniNes  InsNtute,  2012   h=p://www.pageturnpro.com/Cisco/41742-­‐Smart-­‐CiNes-­‐Expose-­‐10-­‐CiNes-­‐in-­‐TransiNon/index.html#1   •  Hoja  de    Ruta  de  las  Smart  CiNes,  TECNO,  Febrero  2012,   =p://www.ctecno.net/wp-­‐content/uploads/2012/03/Hoja-­‐de-­‐Ruta-­‐Smart-­‐CiNes_def.pdf         All  images  in  this  presentaNon  has  CreaNve  Commons  Lisence  and  have  been  extracted  from  Morgue  Files   (h=p://www.morguefile.com)