Collective experimentation on human behaviour using citizen science practices
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The document discusses citizen science projects conducted in Barcelona over three years, focusing on collective experiments related to human mobility and decision-making through public engagement. It highlights the use of crowd-sourced data to develop stochastic models and emphasizes the importance of public participation in scientific research. The authors analyze the methodology and results of these experiments, showcasing the collaboration of various research groups and the implications for social science.
![“The
contribu)on
of
the
︎
field
of
science
and
technology
studies
(STS)
to
main-‐stream
sociology
[and
economics
and
finance]
has
so
far
been
slim
because
of
a
misunderstanding
about
what
it
means
to
provide
a
social
explana)on
[…].”
Bruno
Latour,
Bri&sh
Journal
of
Sociology
Vol.
No.
51
Issue
No.
1
(January/March
2000)
pp.
107–123](https://image.slidesharecdn.com/granadaworkshop20150615-151001171349-lva1-app6892/85/Collective-experimentation-on-human-behaviour-using-citizen-science-practices-29-320.jpg)
![“The
social
sciences
imitate
the
natural
sciences
in
a
way
that
render
them
unable
to
pro︎fit
from
the
type
of
objec1vity
found
in
the
fit
from
the
type
of
objec1vity
found
in
the
natural
sciences.”
“It
is
argued
that
by
following
the
STS
lead,
social
sciences
may
start
to
imitate
the
natural
sciences
in
a
very
different
fashion.”
“Once
the
meanings
of
‘social’
and
of
‘science’
are
recon︎figured,
the
de︎fini)on
of
what
a
‘social
figured,
the
de︎fini)on
of
what
a
‘social
fini)on
of
what
a
‘social
science’
is
and
what
it
can
do
[can
be
thus
reconsidered].”
Bruno
Latour,
Bri&sh
Journal
of
Sociology
Vol.
No.
51
Issue
No.
1
(January
2000)
pp.
107–123](https://image.slidesharecdn.com/granadaworkshop20150615-151001171349-lva1-app6892/85/Collective-experimentation-on-human-behaviour-using-citizen-science-practices-30-320.jpg)
Collective experimentation on human behaviour using citizen science practices
- 1. Collec&ve experimenta&on on human behaviour using ci&zen science strategies Mario Gu)érrez-‐Roig, Isabelle Bonhoure and Josep Perelló Josep.perello@ub.edu @JosPerello @OpenSystemsUB / @CLabBarcelona Granada Seminar (15-‐19 June 2015). Physics Meets the Social Sciences
- 2. Outline We present the ci1zen science projects we have been running during the past 3 years. We have adopted the idea of running collec)ve experiments in public spaces of Barcelona to create crowd-‐sourced data aTaining to concrete ques)ons. We have been focussed on non-‐permanent or pop-‐up experiments on 1. human mobility through voluntary tracking. In a park (Science Fes)val) and in an exhibi)on room (museum). 2. human decision making through games, as a complementary approach through three different games (Board Game Fes)val in Barcelona). Such data sources have allowed us to develop some stochas1c models on human behaviour under concrete situa)ons or circumstances. We cri)cally analyse them and extract experience-‐based conclusions from both a methodological and conceptual perspec)ve.
- 3. Outline We present the ci1zen science projects we have been running during the past 3 years. We have adopted the idea of running collec)ve experiments in public spaces of Barcelona to create crowd-‐sourced data aTaining to concrete ques)ons. We have been focussed on non-‐permanent or pop-‐up experiments on 1. human mobility through voluntary tracking. In a park (Science Fes)val) and in an exhibi)on room (museum). 2. human decision making through games, as a complementary approach through three different games (Board Game Fes)val in Barcelona). Such data sources have allowed us to develop some stochas1c models on human behaviour under concrete situa)ons or circumstances. We cri)cally analyse them and extract experience-‐based conclusions from both a methodological and conceptual perspec)ve.
- 4. Laurent Mignonneau and Christa Sommerer, A-‐Volve. Living Systems, Arts Santa Mònica 2011 Public Experimenta1on
- 5. Laurent Mignonneau and Christa Sommerer, Eau de Jardin. Living Systems, Arts Santa Mònica 2011 Public Experimenta1on
- 6. Ci1zen Science “general public engagement in scien)fic research ac)vi)es when ci)zens ac)vely contribute to science either with their intellectual effort or surrounding knowledge or with their tools and resources” Green Book of Ci)zen Science Socien)ze (IberCivis, EU project) OpenBeeResearch. Urban Bees Project
- 7. Ci1zen Science Aerial Cartography of a Neighborhood (Raval Barcelona, 2015). Public Lab
- 8. Paral·lel (Molino) Plaça de la Bella Dorita. Barcelona Fecha: 19.00h. 15 abril 2015 Fotógrafos: Teb Raval; Basurama; Public Laboratory. Herramienta: Mapknitter Imágenes y mapa: http://mapknitter.org/maps/parallel-2015 Licencia: Dominio Público Resolución: cm/pixel Coordenadas: Latitud 41.3745415 Longitud 2.1677728 Cartógrafo: Pablo Rey Mazón N Cartogra a aérea de barri Dentro del festival NOVUM 2015. Taller de fotografía aérea con globos. 100m0200m50m150m
- 9. Is it possible to extract “serious” science along Ci1zen Science projects and Public Experiments?
- 10. Is it possible to extract “serious” science along Ci1zen Science projects and Public Experiments in Social Sciences?
- 11. Is it possible to extract “serious” science along Ci1zen Science projects and Public Experiments in Social Sciences done by physicists?
- 12. OpenSystems Departament de Fisica Fonamental Universitat de Barcelona www.ub.edu/opensystems @OpenSystemsUB Since 2012
- 13. Barcelona Ci)zen Science Office hTp://cciutadana.barcelonalab.cat @CCiutadana Riu.NET : hTp://riunet.net AtrapaElTigre : hTp://atrapael)gre.com Pollen and Allergies : hTp://lap.uab.cat/aerobiologia Seawatchers : hTp://observadorsdelmar.cat OpenSystems : hTp://ub.edu/opensystems Community of prac)ce with 5 different research groups having Ci)zen Science projects. Since 2012
- 14. “A laboratory experiment is a rare, costly, local, ar)︎ficial set up.” ficial set up.” Bruno Latour
- 16. Pop-‐up Experiments along ci1zen science framework • Collec)ve Experimenta)on sharing publicly the risk with all par)cipants. • Volunteers should be first users of the scien)fic knowledge being produced. • Natural experiments in real-‐world. An alterna)ve to virtual labs and to byassed popula)ons in social experiment. • Clear defini)on of the ques)on to respond. Appealing concept: Par)cipants are curious. • Time and space frames controlled since it is a one-‐shot experiment. • Light infraestructure easy to adapt to several contexts. Always expect the uncertain. • Quick and flexible configura)on of teams (but large and complex to manage).
- 18. Bee-‐Path, Experiments on human mobility The experiment. Science Fair 2012 The results • M. Gutiérrez-Roig, O. Sagarra, J. Palmer, A. Oltra, F. Bartumeus, A. Díaz-Guilera, J. Perelló, 2015, in preparation • 12,000 visitors of Science fair in a centric park of Barcelona • Find the right team and create a brand • How do we move in an event (a park) where we know the events happening • Quan)fy how people is gekng oriented with an App • Finding paTerns with data donated by volunteers and shared with them • www.bee-‐path.net
- 19. Bee-‐Path, Experiments on human mobility The experiment. Big Bang Data Exhibi1on, CCCB 2014 The results
- 20. Bee-‐Path, Experiments on human mobility The experiment. Big Bang Data Exhibi1on, CCCB 2014 The results In collabora)on Domes)c Data Streamers and Counterest for the Big Bang Data exhibi)on in CCCB (Barcelona, 2014). Work in progress with undergraduate student Joan Bernat Ferrer, and M. Gu)érrez-‐Roig
- 22. Human Behaviour and Games Board Game Fes1val DAU 2012 • 160 volunteers, 3 research groups engaged and an actor • Coopera)on as a func)on of the age. Results • Transi)on from reciprocal coopera)on to persistent behaviour in social dilem as at the end of adolescence, M Gu)érrez-‐Roig, C Gracia-‐Lázaro, J Perelló, Y Moreno and A Sánchez. Nature Communica)ons 5 (2014) 4362
- 23. Human Behaviour and Games Board Game Fes1val DAU 2013 • 283 volunteers, 24,375 decisions • Tes)ng Efficient Market Hypothesis • Decision making and emergent strategies in an uncertain environment. • hTp://mr-‐banks.net Results • M. Gu)érrez-‐Roig, J. Duch, J. Perelló, in prepara)on, 2015
- 24. M. Gu)érrez-‐Roig, J. Duch, J. Perelló, in prepara)on, 2015
- 25. M. Gu)érrez-‐Roig, J. Duch, J. Perelló, in prepara)on, 2015
- 26. M. Gu)érrez-‐Roig, J. Duch, J. Perelló, in prepara)on, 2015
- 27. Human Behaviour and Games Board Game Fes1val DAU 2014 • 541 par)cipants, 8,366 ac)ons • Dr. Brain: Looking for a coopera)on Phenotype with Prisonner Dilemma, Harmony Game, Stag-‐Hunt and Snowdris. Results • A. Sánchez, Y. Moreno, C. Gracia-‐ Lázaro, J. Gómez-‐Gardeñes, J. Poncela-‐Casasnovas, J. Duch, J. Vicens, M. Gu)érrez-‐Roig, J. Perelló, in prepara)on 2005.
- 28. In collabora)on with Outliers collec)ve
- 29. “The contribu)on of the ︎ field of science and technology studies (STS) to main-‐stream sociology [and economics and finance] has so far been slim because of a misunderstanding about what it means to provide a social explana)on […].” Bruno Latour, Bri&sh Journal of Sociology Vol. No. 51 Issue No. 1 (January/March 2000) pp. 107–123
- 30. “The social sciences imitate the natural sciences in a way that render them unable to pro︎fit from the type of objec1vity found in the fit from the type of objec1vity found in the natural sciences.” “It is argued that by following the STS lead, social sciences may start to imitate the natural sciences in a very different fashion.” “Once the meanings of ‘social’ and of ‘science’ are recon︎figured, the de︎fini)on of what a ‘social figured, the de︎fini)on of what a ‘social fini)on of what a ‘social science’ is and what it can do [can be thus reconsidered].” Bruno Latour, Bri&sh Journal of Sociology Vol. No. 51 Issue No. 1 (January 2000) pp. 107–123
- 31. With the support of Community of prac)ce in Ci)zen Science Ci)zen Science Office. Science Unit in the City Council Science Communica)on in Bee-‐Path and Complexity Lab Barcelona (2014 SGR 608) Mecánica estadís)ca para "big data”: adquisición, análisis y modelización (FIS2013-‐47532-‐C3-‐3-‐P) Hos)ng the experiments. Barcelona Ins)tute of Culture Josep.perello@ub.edu @JosPerello @OpenSystemsUB @CLabBarcelona Big thanks to: Isabelle Bonhoure, Mario Gu)érrez-‐Roig, Anxo Sánchez, Yamir Moreno, Jordi Duch, Inés Garriga, Nadala Fernández, Fran Iglesias, Pedro Lorente, Carlota Segura, Clàudia Payrató, Joan Bernat Ferrer, Domes)c Data Streamers, Oscar Marín, Outliers, Albert Díaz-‐Guilera, Oleguer Sagarra, Julia Poncela-‐Casasnovas, Jesús Gómez-‐ Gardeñes, Julian Vicens, Roi Sastre and to thousands of volunteers.