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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	
  

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Smart Society: Vision and Challenges

  • 1. SmartSociety   (was  “The  social  computer”)   (it  is  NOT  “The  smart  city”)     Fausto  Giunchiglia   Venice  26  03  2013   Social-­‐ist  workshop  
  • 2. 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  
  • 3. 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
  • 4. *  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”  
  • 5. 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  
  • 6. 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    
  • 7. 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  
  • 8. *  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  
  • 9. 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  
  • 10. *  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  
  • 11. 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
  • 12. SmartSociety   THANK  YOU!     Fausto  Giunchiglia