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Can science be social? Collec-ve and Ci-zen Experimenta-on in Computa-onal Social Sciences Josep Perelló [email protected] @JosPerello @OpenSystemsUB / @CLabBarcelona COMSOTEC (10 September 2015). Facultad de Ciencias, Universidad de Cantabria, Santander

Can science be social? Collective and Citizen Experimentation in Computational Social Sciences

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Page 1: Can science be social? Collective and Citizen Experimentation in Computational Social Sciences

Can  science  be  social?  Collec-ve  and  Ci-zen  Experimenta-on  in  

Computa-onal  Social  Sciences  

Josep  Perello  

[email protected]    @JosPerello  @OpenSystemsUB  /  @CLabBarcelona  

COMSOTEC  (10  September  2015).  Facultad  de  Ciencias,  Universidad  de  Cantabria,  Santander  

Page 2: Can science be social? Collective and Citizen Experimentation in Computational Social Sciences

What  is  Social?  DefiniKon  (Merrian  Webster):    :  relaKng  to  or  involving  acKviKes  in  which  people  spend  Kme  talking  to  each  other  or  doing  enjoyable  things  with  each  other    :  liking  to  be  with  and  talk  to  people  :  happy  to  be  with  people    :  of  or  relaKng  to  people  or  society  in  general      

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:    marked  by  or  passed  in  pleasant  companionship  with  friends  or  associates  <an  acKve  social  life>    :    of,  relaKng  to,  or  designed  for  sociability  <a  social  club>    :    of  or  relaKng  to  human  society,  the  interacKon  of  the  individual  and  the  group,  or  the  welfare  of  human  beings  as  members  of  society  <social  insKtuKons>    :    tending  to  form  cooperaKve  and  interdependent  relaKonships  with  others    :    being  such  in  social  situaKons  <a  social  drinker>  

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What  is  a  lab?  

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Open  Innova8on  New  paradigm  based  on  a  Quadruple  Helix  Model  where  government,  industry,  academia  and  civil  parKcipants  work  together  to  co-­‐create  the  future  and  drive  structural  changes  far  beyond  the  scope  of  what  any  one  organizaKon  or  person  could  do  alone.    User-­‐oriented  innovaKon  to  take  full  advantage  of  ideas'  cross-­‐fer8lisa8on  leading  to  experimenta8on  and  prototyping  in  real  world  seBng.    Henry  Chesbroug  (2003)  

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Research  in  the  wild  Michel  Callon    (2003)    1.   Researchers  in  the  wild  are  directly  concerned  with  the  

knowledge  they  produce  because  they  are  both  the  objects  and  the  subjects  of  their  research.  

2.   Produc8on  and  appropria8on  overlap  to  a  large  extent,  since  it  is  one  group  that  in  the  same  movement  elaborates  and  uses  the  knowledge.  

3.   Incen8ves  are  of  a  different  nature,  for  what  is  at  issue  in  the  case  of  research  in  the  wild  is  fate  and  the  survival  of  the  group  whose  members  wish  to  save  their  lives.  

 

Page 7: Can science be social? Collective and Citizen Experimentation in Computational Social Sciences

Research  in  the  wild  Michel  Callon    (2003)    4.  Largely  as  a  consequence  of  the  preceding  points,  we  cannot  separate  the  elabora8on  of  knowledge  from  the  construc8on  of  an  iden8ty  because  this  idenKty  is  also  common  and  shared  before  being  individual.      5.  Research  in  the  wild  makes  a  strong  contribu8on  to  the  formula8on  of  problems  and  ques8ons  that  become  intelligible  for  confined  researchers,  some  of  whom  have  parKcipated  in  their  elaboraKon.  The  concerned  groups,  owing  to  their  investment  in  research,  are  no  longer  the  only  ones  concerned.    

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Collec8ve  Experimenta8on  By  contribuKng  to  a  beaer  understanding  of  these  new  and  complicated  collecKve  dynamics,  science  studies  will  enrich  debate  on,  and  the  performance  of,  the  collecKves.    Share  risk  with  all  parKcipants    CollecKve  experimentaKon  and  co-­‐create  the  soluKons  and  the  experiments    From  maaers  of  fact  to  maaers  of  concern  (Latour:  Ecology  vs.  Ecologism)    

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   “A  laboratory  experiment  is  a  rare,  costly,  local,  arKficial  set  up.”      Bruno  Latour  

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OpenSystems    Departament  de  Fisica  Fonamental  Universitat  de  Barcelona    www.ub.edu/opensystems    @OpenSystemsUB  Since  2012  

OpenSystems  

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When  dissemina8on  is  not  anymore  dissemina8on  

MACBA  (Barcelona  Contemporary  Art  Museum)  Sistemes  Oberts  (2012/13-­‐2014/15).    Official  training  course  for  teachers.  

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When  dissemina8on  is  not  anymore  dissemina8on  

A  fesKval  as  a  lab  

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Aerial  Cartography  of  a  Neighborhood  (Raval  Barcelona,  2015).  Public  Lab  

When  dissemina8on  is  not  anymore  dissemina8on  

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Paral·lel (Molino)Plaça de la Bella Dorita. BarcelonaFecha: 19.00h. 15 abril 2015Fotógrafos: Teb Raval; Basurama; Public Laboratory.Herramienta: MapknitterImágenes y mapa: http://mapknitter.org/maps/parallel-2015Licencia: Dominio PúblicoResolución: cm/pixelCoordenadas: Latitud 41.3745415 Longitud 2.1677728Cartógrafo: Pablo Rey Mazón

N

Cartogra a aérea de barri Dentro del festival NOVUM 2015.Taller de fotografía aérea con globos.

100m

020

0m50

m15

0m

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Barcelona  CiKzen  Science  Office  hap://cciutadana.barcelonalab.cat  @CCiutadana  

Riu.NET  :      hap://riunet.net    AtrapaElTigre  :  hap://atrapaelKgre.com    Pollen  and  Allergies  :  hap://lap.uab.cat/aerobiologia    Seawatchers    :  hap://observadorsdelmar.cat    OpenSystems  :  hap://ub.edu/opensystems    

Community  of  pracKce  with  5  different  research  groups  having  CiKzen  Science  projects.  Since  2012  

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Ci8zen  Science  “general  public  engagement  in  scienKfic  research  acKviKes  when  ciKzens  acKvely  contribute  to  science  either  with  their  intellectual  effort  or  surrounding  knowledge  or  with  their  tools  and  resources”    Green  Book  of  CiKzen  Science  SocienKze  (IberCivis,  EU  project)  

OpenBeeResearch.  Urban  Bees  Project  

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hap://issuu.com/bcnlabcienciaciudadana  

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Urban  Bees:  Castell  dels  Tres  Dragons  (Museu  de  Ciències  Naturals),  HANGAR,  IMI-­‐Ayuntamiento  de  Barcelona,  ICUB-­‐Ayuntamiento  de  Barcelona,  UB  Sensors  (Arduino):  Humidity,  Temperature,  Bee-­‐Counter,  Sound,  Video  and  weight    SocienKze  (Ibercivis,  UZ),  EU  project.  Socios:  Melliferopolis  (FI)  i  OpenBeeLab  (FR).  www.openbeeresearch.org  (en  construcción)  

OpenBeeResearch  

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Human  Behaviour  and  Games  

Board  Game  Fes8val  DAU  2013  •  283  volunteers,  24,375  decisions  •  TesKng  Efficient  Market  Hypothesis  •  Decision  making  and  emergent  

strategies  in  an  uncertain  environment.  

•  hap://mr-­‐banks.net    

Results  

•  M.  GuKérrez-­‐Roig,  J.  Duch,  J.  Perelló,  in  preparaKon,  2015  

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with    Outliers  (Oscar  Marin)  

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Joint  work  on  I.  Bonhoure,  O.  Sagarra  and  M.  GuKérrez-­‐Roig  

Shaping  a  solu8on:  the  Pop-­‐Up  Experiments  

Experiments   Bee-­‐Path(1)   Bee-­‐Path(2)     Coopera8on(1)   Coopera8on(2)   Mr.  Banks(1)     Mr.  Banks(2)   Dr.  Brain    

1.General  Informa8on  

Date   June  2012   June  2013   Dec  2012   March  2014   Dec  2013   July  2015   Dec  2014    

Topic   Human  Mobility   Human  Mobility   Social  Dilemmas   Social  Dilemmas   Decision  Making   Decision  Making   Social  Dilemmas  

Number  of  volunteers   101a   68b   168   52   307   42   580  

Number  of  records   10,312  GPS  points    10,315  GPS  pointsb   4,200  decisions   1,300  decisions   18,525  decisions   2,372  decisions   8,659  decisions  

Budget  (approx.)   4,000  EUR   3,500  EUR   2,000  EUR   1,000  EUR   2,500  EUR   1,300  EUR   1,000  EUR  

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A  Pop-­‐Up-­‐Experiment  (PUE)  is  a  physical,  light,  very  flexible,  highly  adaptable,  reproducible,  transportable,  tuneable,  collecKve,  parKcipatory  and  public  experimental  set-­‐up  for  urban  contexts  that    (1)  applies  CiKzen  Science  pracKces  and  ideals  to  provide  

ground-­‐breaking  knowledge  and    (2)  transforms  the  experiment  into  a  valuable,  socially  

responsible,  consented  and  transparent  experience  to  non-­‐expert  volunteered  parKcipants  with  the  possibility  to  build  the  urban  commons  arisen  from  facts-­‐based  effecKve  knowledge  valid  for  both  ciKes  and  ciKzens.  

Shaping  a  solu8on:  the  Pop-­‐Up  Experiments  

Joint  work  with  I.  Bonhoure,  O.  Sagarra  and  M.  GuKérrez-­‐Roig  

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Pop-­‐up  Experiments  along  ci8zen  science  framework  

1.  CollecKve  ExperimentaKon  sharing  publicly  the  risk  with  all  parKcipants.    

2.  Volunteers  should  be  first  users  of  the  scienKfic  knowledge  being  produced.  

3.  Natural  experiments  in  real-­‐world.  An  alternaKve  to  virtual  labs  and  to  byassed  populaKons  in  social  experiments.  

4.  Clear  definiKon  of  the  quesKon.  Appealing  concept:  ParKcipants  are  curious!  

5.  Time  and  space  frames  controlled  since  it  is  a  one-­‐shot  experiment.  

6.  Light  infraestructure  easy  to  adapt  to  several  contexts.  Always  expect  the  uncertain.  

7.  Quick  and  flexible  configuraKon  of  teams  (but  large  and  complex  to  manage).  

Joint  work  with  I.  Bonhoure,  O.  Sagarra  and  M.  GuKérrez-­‐Roig  

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Shaping  a  solu8on:  the  Pop-­‐Up  Experiments  

Joint  work  with  I.  Bonhoure,  O.  Sagarra  and  M.  GuKérrez-­‐Roig  

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Joint  work  on  I.  Bonhoure,  O.  Sagarra  and  M.  GuKérrez-­‐Roig  

Shaping  a  solu8on:  the  Pop-­‐Up  Experiments  

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Joint  work  on  I.  Bonhoure,  O.  Sagarra  and  M.  GuKérrez-­‐Roig  

Shaping  a  solu8on:  the  Pop-­‐Up  Experiments  

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Joint  work  on  I.  Bonhoure,  O.  Sagarra  and  M.  GuKérrez-­‐Roig  

Page 36: Can science be social? Collective and Citizen Experimentation in Computational Social Sciences

With  the  support  of  

Community  of  pracKce  in  CiKzen  Science  

CiKzen  Science  Office.  Science  Unit  in  the  City  Council  

Science  CommunicaKon  in  Bee-­‐Path    and  Complexity  Lab  Barcelona  (2014  SGR    608)  

Mecánica  estadísKca  para  "big  data”:  adquisición,  análisis  y  modelización  (FIS2013-­‐47532-­‐C03-­‐02-­‐P)  

HosKng  the  experiments.  Barcelona  InsKtute  of  Culture  

[email protected]    @JosPerello  

@OpenSystemsUB  @CLabBarcelona  

Big  thanks  to:   Isabelle  Bonhoure,  Mario  GuKérrez-­‐Roig,  Anxo  Sánchez,  Yamir  Moreno,  Jordi   Duch,   Inés   Garriga,   Nadala   Fernández,   Fran   Iglesias,   Pedro   Lorente,   Carlota  Segura,   Clàudia   Payrató,   Joan   Bernat   Ferrer,   DomesKc   Data   Streamers,   Oscar  Marín,  Outliers,  Albert  Díaz-­‐Guilera,  Oleguer  Sagarra,   Julia  Poncela-­‐Casasnovas,   Jesús  Gómez-­‐Gardeñes,  Julian  Vicens,  Roi  Sastre,  Helena  Andrés,  Edouard  Cabay,  Elena  Poropat,    and  to  thousands  of  volunteers.