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Crossroad wp4session samo sv3

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  • 1. Samos  summit   Samos  6th  july  2010   Joint  Research  Centre   European  Commission  
  • 2. !   iden5fy  the  research-­‐specific  component  of  the  grand   challenges  iden5fied  by  WP3     !   priori5ze  the  challenges  according  to  their  strategic  importance   and  the  research  component  involved       !   iden5fy  the  logical  and  func5onal  rela5onships  between  the   different  research  challenges     !   assess  the  degree  of  overlapping  with  other  applica5on   domains,  and  in  par5cular  the  degree  to  which  the  applica5on   in  the  domain  of  governance  and  policy  modelling  presents   elements  of  originality  and  innova5on     !   propose  adequate  implementa5on  measures  including  the   different  instruments  needed  for  each  research  them  
  • 3. Grand   1st  Challenge   challenge   2nd  Challenge   Research   challenge   3rd  Challenge   meas tool   ure   Challe domain   nge  3   meas Chall ure   enge   2   Challenge   domain   domain   1   IMPLEMENTATION  MEASURES  AND   SPECIFIC  TOOLS   [Athens],  [12th  January  2010]   3  
  • 4. Grand   1st  Challenge   challenge   2nd  Challenge   Research   challenge   3rd  Challenge   meas tool   ure   Challe domain   nge  3   meas Chall ure   enge   2   Challenge   domain   domain   1   IMPLEMENTATION  MEASURES  AND   SPECIFIC  TOOLS   [Athens],  [12th  January  2010]   4  
  • 5. !   Discussion  Point  1   !   Discussion  Point  1.1   [Loca5on],  [Date]   5  
  • 6. !   Discussion  Point  1   !   Discussion  Point  1.1   Splash  -­‐  Simula5on  of     health  policy  impact   Oil  Reporter   PeerToPatent   [Loca5on],  [Date]   6  
  • 7. RT1  -­‐  OPEN  GOVERNMENT  INFORMATION  &   INTELLIGENCE  FOR  TRANSPARENCY   RT2  -­‐  SOCIAL  NETWORKS,  CITIZEN   RT3  -­‐  POLICY  MODELLING   ENGAGEMENT  AND  INCLUSION   G  1.1  -­‐  Systema5c  management  and   G3.1  -­‐  ICT  for  state-­‐of-­‐the-­‐art  policy   monitoring  of  transparency   making   G2.1  -­‐  Open  and  Cross-­‐language   Collabora5ve  Filtering   G3.2  –Large  scale  transforma5on  of   G1.2  -­‐  On-­‐the  fly  Open  Data  Quality   quan5ta5ve  and  qualita5ve  data  into   Agreements   G2.2  -­‐  High-­‐quality  exper5se   formal  policy  models   iden5fica5on  through  reputa5on   G1.3  -­‐Framework  for  management  and   management     G3.3  -­‐  Scalability  of  modules   resolu5on  of  legal  issues  of  publishing   G2.3  -­‐  Distributed  Early  Warning   G3.4  -­‐  Collabora5ve  Intelligence  in   open  data     Systems  for  Risk  Preven5on   Policy  Making   G1.4  -­‐Real-­‐5me  Public  Linked  Data   G2.4  -­‐  Affordable  large  scale   G3.5  -­‐  Usability  in  Modelling  and   collabora5on     Simula5on   G1.5  -­‐Ci5zen-­‐oriented  linked  data   querying  and  reasoning   G2.5  -­‐  Leveraging  casual  par5cipa5on   G2.6  -­‐  Robust  and  large-­‐scale   G1.6  -­‐Seamless  collabora5on  and   argument  support  systems   coopera5on  in  data  layer   G2.7  -­‐  Robust  Natural  Language   G1.7  -­‐Large  scale  public  informa5on   Interfaces   visualiza5on   G5.1  -­‐  Future  Internet  for  Collabora5ve   Governance   G4.1  -­‐  IT  compliance  for  integrated  and  process   G5.2  –  Massive  government  clouds     suppor5ve  iden5ty  management   G5.3  -­‐  Business  models  for  public-­‐private  clouds   governance   G4.2  -­‐  Li5gable  data  protec5on  in  high  flexible   business  processes     G5.4  -­‐  Mobility  and  Par5cipatory  Sensing   G4.3  -­‐  Flexible  and  dynamic  disclosure   management  tools  and  technologies   G5.5  -­‐  Real-­‐5me  context-­‐aware  services     G4.5  -­‐    Social  engineering  and  trust  rela5onship   Joint  Research  Centre   European  Commission  
  • 8. USER:  CiQzen  &  Government   Users   Collabora5v Social   Civic  hacking   Display  for   Engagement   e  produc5on   networking   behavioural   change   Data   Visual   Augmented   Natural  User   Argument   Mul5-­‐ representaQ analy5cs   reality   Interface   mapping   channel   on   Data   Non-­‐linear   Societal   Forecas5ng   Models   Opinion   analysis   models   simula5on   interoperabi mining   lity   Data   Collabora5v Reputa5on   Authen5ca5 Privacy   Social   validaQon   e  filtering   managemen on  /  Security   Network   t  systems   Analysis   Data   Sensors  /   Open  gov  /   Ci5zens   Serious   Cloud  Data   collecQon   IoT  /  smart   linked  data   generated   Games   Exposure   ci5es   data   PRODUCER:  CiQzen  &  Government  
  • 9. More  people  and  scien5st  involved  (Gov20  and  EBPM)   2020   2010   More  accurate   analy5cal,   modeling  and   simula5on  tools     More  data  available  (the  data  deluge)  
  • 10. Grand  challenges  have  to:   •  Be  understandable,  visual  and  inspire  research  idea   •  Be  bold  and  disrup5ve  but  strongly  rooted  in  SoA  and  addressable  by  2020   •  Contain  significant  cri5cal  mass  of  research   •  Address  gaps  across  Research  Themes   The  proposed  grand  challenges:   !   Model-­‐based  governance   !   Data-­‐powered  behavioural  change   !   Government  Service  U5lity   !   Scien5fic  base  of  ICT-­‐assisted  governance   Note:  these  are  instrumental  to  leverage  par5cipants  insight  into  relevant   research  issues  
  • 11. Today  ex-­‐ante  policy  assessment:   !   Large  human  effort  >  only  on  major  policy  decisions  (e.g.   REACH  direc5ve);     !   using  mainly  econometric  models  and  overlooking  human   behaviour;  unable  to  account  for  human  behavior  and  5pping   points.     !   Social  simula5on  and  models  are  blackbox,  fragmented  and   single-­‐purpose;  built  by  domain  computa5onal  science   specialist,  at  high  cost  for  involving  lateral  domain  experts  or   interested  stakeholders.  Progress  in  modelling  sokware  has  not   matched  advances  in  compu5ng  power  (Post).   !   Designing,  reviewing  and  upda5ng  formal  models  from   qualita5ve  and  quan5ta5ve  data  is  costly.  
  • 12. !   Pervasive  and  joined-­‐up  simulaQon  for  policy  impact   assessment:  impact  assessment  for  deciding  how  to  op5mize   garbage  collec5on  in  a  medium  city;   !   model-­‐building  and  simula5on  carried  out  the  responsible  civil   servant  based  on  pre-­‐built  models,  in  collaboraQon  with   domain  expert  through  a  model-­‐as-­‐a-­‐service  soZware;   !   Macro-­‐model  are  dynamically  integrated  with  micro  models  of   other  ins5tu5onal  levels  and  sectors;     !   Models  are  evolving,  accoun5ng  for  input  from  massive   amounts  of  data,  structured  (from  RFID  in  garbage  bags)  and   non-­‐structured  (feedback  from  ci5zens  behavior  and  opinion);   !   model  and  data  are  exposed  in  a  transparent  and  privacy-­‐ compliant  manner;     !   simula5ons  account  for  human  behaviour,  an5cipate  possible   Qpping  points,  domino  effects  
  • 13. Par5cipants   Lisa  Simpson   Bart  Simpson   Type  of   engagement   Conversa5on   Today   2020   Ac5on  and   behavioural  change   2020   2020  
  • 14. !   Open  discussion  through  simula5on  by  open  data  and  models.     !   More  engaged  people  (Lisa  Simpson)  to  manipulate  data  and   simula5on  to  provide  alterna5ve  views  and  to  collaborate   !   Less  engaged  people  (Bart  Simpson)  have  progressive  forms  of   par5cipa5on  through  third  party  visualiza5on  tools,  and    by   checking  the  opinion  of  trusted  high-­‐reputa5on  experts  (Lisa)   !   Maximum  usage  is  made  of  short,  limited  a^enQon  spans   !   Ci5zen  choice  simula5on:  When  using  public  services,  ci5zens   have  immediate  feedback  on  their  impact  of  their  choices,  at   personal  and  systemic  level,  such  as  the  cost  and  taxes.     !   Social  networking  and  gaming  engage  users  to  save  on  public   services  by  showing  performances  over  5me  and  comparison.     !   Government  decision-­‐makers  are  fully  accountable  through   simula5on  and  open  data  that  show  the  impact  of  different   op5ons,  including  non-­‐ac5on.  
  • 15. Theme   Model-­‐based   Data-­‐powered   UQlity  Gov   Science  base   change   Transparency   Linked  data   Open  data   Linked  data   X   collabora5on   Visual  analy5cs   Visual  analy5cs   Social   Exper5se   Large  scale   X   Compu5ng   iden5fica5on   collabora5on   Collabora5ve   Qualita5ve  data   Usability  and   X   policy   in  models   collabora5on  in   modelling   Collabora5on  in   models   modelling   simula5on   Trust   Privacy  and   Privacy  Iden5ty   X   Iden5ty  mgmt   Future  Internet   Cloud  IoS   Cloud  Ios   Ios  Iot   X   IoT   IoT   Interoperability  
  • 16. Theme   Model-­‐based   Data-­‐powered   UQlity  Gov   Science  base   change   Transparency   Linked  data   Open  data   Linked  data   X   collabora5on   Visual  analy5cs   Visual  analy5cs   Social   Exper5se   Large  scale   X   Compu5ng   iden5fica5on   collabora5on   Collabora5ve   Qualita5ve  data   Usability  and   X   policy   in  models   collabora5on  in   modelling   Collabora5on  in   models   modelling   simula5on   Trust   Privacy  and   Privacy  Iden5ty   X   Iden5ty  mgmt   Epistemology Future  Internet   Cloud  IoS   Cloud  Ios   Scientific Methods Ios  Iot   X   Multid: Computer Science IoT   IoT   Interpoerability   Multid: Social Sciences Multid: Management Science
  • 17. 1.  Division  in  groups  based  on  challenges   2.  Presenta5on  of  challenge  and  discussion  (15  mins)   3.  Each  par5cipant  to  write  on  post  it  3  key  research  issues/ideas   to  meet  the  grand  challenges  (15  mins)   4.  Put  the  research  idea  in  the  appropriate  place  on  the  sheet   based  on  5  research  domain  and  5ming:  short  term  (<7  years   for  results)  and  long  term  (>8  years)   5.  Jointly  discuss  to  consolidate  and  reach  consensus  around  20   research  issues   6.  Report  to  plenary  
  • 18. !   Formulate  and  classify  interven5on  to  address  final  version  of   gaps  based  on  implementa5on/  research  con5nua5on  /  new   research   !   Redefine  grand  challenges  based  on  proposed  research  issues   !   Analyze  and  classify  research  challenges  based  on:  priority,   cross-­‐rela5on,  specificity,  originality,  comparison  with  parallel   research   !   Publish  first  drak  document   !   Online  vo5ng  on  each  research  challenge  based  on:   !   Importance  of  the  impact   !   Original  research  effort   !   First  drak  roadmap  presented  in  Brussels  
  • 19. Joint  Research  Centre   European  Commission  
  • 20. !   2  workshops?   !   Tools  needed:  uservoice.com  and  writetoreply.org   !   Dis5nguish  between  tech  and  applica5on  fields   !   Role  of  partners   NTUA   TECH4i2   EPMA   UKL   IPTS   3   8,5   0,8   2   0   !   Examples  of  grand  challenges  +  research  challenges  
  • 21. applicaQon   Government     Manufacturing   defense   …   domain   tech   Agent-­‐based   laggard   advanced   medium   modeling   Social  network   laggard   medium   advanced   theory   Opinion  mining   advanced   Medium   laggard   …   Possibility for spillover effects Double dividend: better government and more competitive industry
  • 22. T4.1  INITIAL  ROADMAP  DRAFT   dra<  version  of  Roadmap  M7   T4.2  RESTRICTED  ROADMAP  VALIDATION  WORKSHOP   D4.1  1st  version  of  Roadmap  M9   T4.3  WEB-­‐BASED  ROADMAP  CONSULTATION  AND  LARGE  EXPERT  WORKSHOP   D4.2  Delibera/on  Results  M10   T4.4  FINAL  ROADMAP  PUBLICATION   D4.3  2nd  Version  of  Roadmap  M11   T4.5  POLICY  RECOMMENDATIONS  TOWARDS  STAKEHOLDERS   D4.4  Final  Policy  Recommenda/ons  M11   [Athens],  [12th  January  2010]   23  
  • 23. !   What  is  the  present  state  of  the  art  in  the  field  of  governance  and  policy  modelling     !   I.  Which  are  the  most  advanced  implementa5on  ini5a5ves  in  this  field,  and  the   challenges  encountered?     !   II.  What  is  the  present  research  state  of  the  art,  and  the  present  issues  do  be   addressed?     !   Taking  into  account  possible  future  scenarios,  what  are  the  specific  gaps  and  grand   challenges  in  the  field?  Between  the  challenges  emerging  from  present   needs  and  future  scenarios,  which  are  related  to  research,  rather   than  implementa5on?       Which  logical  rela5onships  (such  as  sequen5ality,  originality,   redundancy  or  complementarity),  are  there  between  ongoing   research  on  in  other  applica5on  domains?  In  par5cular,  in   which  ones  the  applica5on  fields  of  governance  and  policy   modelling  is  likely  to  be  at  the  fron5er  of  technological   innova5on,  compared  to  other  applica5on  fields?       For  those  research  challenges  iden5fied,  what  kind  of  research   support  measures  should  be  adopted?  
  • 24. !   Visual  analy5cs   !   Opinion/sen5ment  mining   !   Augmented  reality  
  • 25. !   We  need  intui5ve  simula5on  and  visualiza5on  tools  that   related  everyday  choices  by  ci5zens  to  related  policy  ac5ons;   that  raise  the  aten5on  on  possible  confirma5on  biases  and   overlooking  relevant  informa5on;     !   Relevant  gaps:   !   1.1.  Systema5c  management  and  monitoring  of  transparency   !   1.4.  Real-­‐5me  Public  Linked  Data   !   1.5.  Ci5zen-­‐oriented  linked  data  querying  and  reasoning   !   1.7.  Large  scale  public  informa5on  visualiza5on   !   2.4.  Affordable  large  scale  collabora5on     !   2.5.  Leveraging  casual  par5cipa5on   !   3.4.  Collabora5ve  Intelligence  in  Policy  Making   !   3.5.  Usability  in  Modelling  and  Simula5on   !   4.2.  Li5gable  data  protec5on  in  high  flexible  business  processes   !   4.3.  Flexible  and  dynamic  disclosure  management  tools  and  technologies   !   5.3.  Mobility  and  Par5cipatory  Sensing