collective experimentation on human behaviour using citizen science practices
TRANSCRIPT
Collec&ve experimenta&on on human behaviour using ci&zen
science strategies Mario Gu)érrez-‐Roig, Isabelle Bonhoure and Josep Perello
[email protected] @JosPerello @OpenSystemsUB / @CLabBarcelona
Granada Seminar (15-‐19 June 2015). Physics Meets the Social Sciences
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.
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.
Laurent Mignonneau and Christa Sommerer, A-‐Volve. Living Systems, Arts Santa Mònica 2011
Public Experimenta1on
Laurent Mignonneau and Christa Sommerer, Eau de Jardin. Living Systems, Arts Santa Mònica 2011
Public Experimenta1on
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
Ci1zen Science
Aerial Cartography of a Neighborhood (Raval Barcelona, 2015). Public Lab
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
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Cartogra a aérea de barri Dentro del festival NOVUM 2015.Taller de fotografía aérea con globos.
100m
020
0m50
m15
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Is it possible to extract “serious” science along Ci1zen Science projects and Public Experiments?
Is it possible to extract “serious” science along Ci1zen Science projects and Public Experiments in Social Sciences?
Is it possible to extract “serious” science along Ci1zen Science projects and Public Experiments in Social Sciences done by physicists?
OpenSystems Departament de Fisica Fonamental Universitat de Barcelona
www.ub.edu/opensystems @OpenSystemsUB Since 2012
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
“A laboratory experiment is a rare, costly, local, ar) ficial set up.” ficial set up.” Bruno Latour
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).
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
Bee-‐Path, Experiments on human mobility
The experiment. Big Bang Data Exhibi1on, CCCB 2014 The results
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
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
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
M. Gu)érrez-‐Roig, J. Duch, J. Perelló, in prepara)on, 2015
M. Gu)érrez-‐Roig, J. Duch, J. Perelló, in prepara)on, 2015
M. Gu)érrez-‐Roig, J. Duch, J. Perelló, in prepara)on, 2015
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.
In collabora)on with Outliers collec)ve
“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
“The social sciences imitate the natural sciences in a way that render them unable to profit 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 recon figured, the defini)on of what a ‘social figured, the defini)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
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
[email protected] @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.