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Smart Society: Vision and Challenges
 

Smart Society: Vision and Challenges

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Presentation given by Prof. F. Giunchiglia, Smart Society Coordinator, at the Social-IST Workshop

Presentation given by Prof. F. Giunchiglia, Smart Society Coordinator, at the Social-IST Workshop

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    Smart Society: Vision and Challenges Smart Society: Vision and Challenges Presentation Transcript

    • SmartSociety   (was  “The  social  computer”)   (it  is  NOT  “The  smart  city”)     Fausto  Giunchiglia   Venice  26  03  2013   Social-­‐ist  workshop  
    • Social  Computers  beyond  Social  Computing     Social  intensiveness  of  solution   Compute  and  data  intensiveness  of  solution   Conven&onal   computa&on   Social  decentralised  systems   Facebook   DARPA  Network  Challenge   Social  computa&on   decentralised  through  society               Problems in this space have: • Small, direct impact locally magnified when replicated across global society; or • Huge, potential impact globally but need a social infrastructure to harness the local ingenuity and data of humans/sensors. E-­‐Bay   Social  control  of  healthcare  and  disease  
    • My  preferite  application  domain   •  30 million people suffer from rare diseases in Europe. •  There are 8000 rare diseases. •  Only 1900 of these are diagnosable. •  No Member State Health Service offers diagnostic services in all 1900 conditions •  Conventional“long tail” problem
    • *  Computers  are  great  at  storing,  processing  and   communicating  data   *  People  are  great  at  interpreting  context,  interpersonal   relationships  and  social  norms   *  Can  we  combine  the  best  of  both  worlds  to  build  a   "smart  society"?   4   The  “big  picture”  
    • Problem:  there  are  no  systematic  ways  to  guarantee   effective  communication  and  coordinated  action  given  the   scale  and  diversity  in  terms  of  people  involved  (different   opinions,  cultures  and  languages),  systems,  data  produced   and  goals     ICT  and  society  today   *  Exponential  increase  in  number  of  devices   *  The  rise  of  social  networking  platforms   *  Physical  and  virtual  dimensions  of  life  are   more  and  more  intertwined     *  Society  is  progressively  moving  towards  a   socio-­‐technical  ecosystem  with  a  tight   interaction  people-­‐machines  
    • The  structure  of  smart  societies   Ubiquitous  sensing   technologies   (big  data  produced)   From  local  to  social     interpretation  of  data   (real  world  global  semantics)   From  low-­‐level  to  high-­‐level   interpretation  of  data     (real  world  local  semantics)   Actions  are  taken  locally  and   collectively,   across  many  different   communities  and  individuals   Actions  are  taken  locally  by   many  different  individuals    
    • A  new  generation  of  systems  able  to  tackle  societal  challenges   *  Hybrid:  composed  of  humans  and  machines  able  to  seamlessly   interoperate  and  cooperate     *  Diversity-­‐aware:  pragmatic  semantics  among  and  across  people  and   machines,  as  required  in  the  future  socio-­‐technical  systems   where:     *  People  provide  individual/local  as  well  as  global/social,  implicit  or  explicit,   semantics  (the  mapping  to  the  real    world)  and  act  towards  achieving   local/global  goals   *  Machines  “compose”  and  adapt  to  people  by  learning  from  them,   supporting  them  in  achieving  the  goals   Smart  society  systems  
    • *  Closing  the  semantic  gap  between  humans  and   machines,  where  humans  are  also  means  and  not  only   ends     *  Compositionality  of  humans  and  machines     *  ICT-­‐society  co-­‐design:  in  full  respect  of  human  values   Key  issues  
    • Diversity:  a  theory  of  diversity  which  covers  multiple   dimensions   *  Vertical:  from  machines  to  people  to  society   *  Horizontal:  among  machines,  people  and  society   *  Multi-­‐faceted,  in  layers:     * goals,     * actions,  including  human  and  machine  sensing   * programs  and  processes,     * data  and  knowledge           Closing  the  semantic  gap  
    • *  Compositionality:  a  theory  of  compositionality,  building  upon   the  theory  of  diversity,  and  mechanisms,  so  that  there  can  be   cooperation  on  the  large  scale  among  machines  and  humans,  by   leveraging  on  their  respective  strengths  and  compensating   their  limitations   *  …  in  layers     *  human  and  machine  goals,     *  Actions,  including  human  and  machine  sensing   *  processes/programs,     *  knowledge/data   Compositionality  
    • ICT  and  society  co-­‐design   With   the   contribution   of   different   disciplines   which   currently  interact  weakly,  if  at  all   Development of a radically innovative Social Computer Science, drawing on ICT, social sciences and the humanities Social Sciences and Humanities ICT Multi- disciplinary Research Community on the Social Computer MODELING & SIMULATIONS DATA AND KNOWLEDGE MANAGEMENT DISTRIBUTED SYSTEMS SEMANTICS SOCIOLOGY POLITICAL SCIENCE LAW ECONOMICS PSHYCHOLOGY ETHICS
    • SmartSociety   THANK  YOU!     Fausto  Giunchiglia