Giulia Andrighetto
Giulia is a researcher at the Institute of Cognitive Sciences and Technologies of the National Research Council of Italy in Rome, where she is the coordinator of the Laboratory of Agent Based Social Simulation (LABSS). She is also a researcher at Mälardalen University, Västerås, Sweden and at the Institute for Future Studies, Stockholm, Sweden. Her research focuses on the emergence, enforcement, change and decay of social norms and their effects on cooperation and conflicts. Her research topics include cooperation, altruism, honesty, as well as bad norms and misinformation. She uses theoretical and computational models, combined with on-line and laboratory experiments, surveys and big data to answer these and related questions about social norms. Talk: Dynamics of Social Norms Under Collective Risk. Abstract: There is a fundamental need to understand how to deal with global threats facing human beings like climate change, natural disasters and pandemics. Managing these emergencies requires collective behavioral changes, wherein each individual’s action makes a difference. This implies solving a collective risk dilemma: individuals should make efforts not to realize a personal gain but to avoid a collective loss that has some risk of occurring (e.g., dangerous climate change). Norms have often been praised as potential solutions to this type of dilemma. Despite their relevance, how norms shape cooperation under risk is still insufficiently understood. We use a 30-day collective-risk social dilemma experiment to observe and measure norms dynamics in a controlled setting and their effect in promoting cooperation under risk. We find that social norms strengthen and make people more cooperative under risk. Yet, we also observe that as risk decreases norms lose their strength and cooperation declines.Taken together these results indicate that it is not obvious that norms are effective solutions to deal with (changing) collective risk, since the norms themselves are affected by risk as well. If we want to leverage social norms to promote long-lasting cooperation, we need a better understanding of the feedback cycle between norms, risk, and behavior. |
Josep Perelló
Josep is an associate professor at the University of Barcelona, where he created OpenSystems, a research group that conceives scientific research based on citizen participation and artistic practices that falls under the broad label of Social Citizen Science. Its main objective is to analyze human behavior in urban contexts through the sciences of complexity and within the field of computational social science. Aiming to collectively respond to specific social concerns, OpenSystems has conducted more than 15 public experiments with more than 2,500 participants. He has been coordinator of the Citizen Citizen Office of Barcelona, an initiative of the Barcelona City Council that works as a community of practice for a large number of citizen science projects and implements specific programs in civic centers, primary or secondary schools. Talk: What can game theoretical approaches do in the context of citizen science? Abstract: OpenSystems started to run public collective experiments almost a decade ago. Along these years, active participation of citizens in scientific research has been gradually increased at the same speed as citizen science has been growing inside and outside the academic world. Social dilemmas, game theory, social concerns, and urban contexts have been some of the keywords related to these experiments which have run in collaboration with a wide variety of actors, including museums, municipalities, festivals, or civil society organizations. I would like to share some of these experiences to untap the potential of combining participatory research and game theory. With this combination, research can contextualize empirical results and conclusions and thus bring out actionable knowledge. It is also able to bring feedback to the participants to allow them to further reflect on their own role and behavior in their own communities while in some cases scientific results can support collective actions or a set of policy recommendations to promote social change. |
Marko Jusup
Marko is a senior research scientist at Japan Fisheries Research and Education Agency. Previously he was an assistant professor at the Institute of Innovative Research, Tokyo Institute of Technology and the Center of Mathematics for Social Creativity, Hokkaido University. He was also a Japan Society for the Promotion of Science (JSPS) postdoctoral fellow at the Faculty of Sciences, Kyushu University. Marko got his PhD in Environmental Risk Management in March 2012 from Yokohama National University, an MBA degree in Finance and Banking from Zagreb School of Economics and Management (ZSEM) in July 2008, as well as a BS degree in Physics and Mathematics from the University of Rijeka in November 2003. His research career started in February 2004 at Rudjer Boskovic Institute (RBI), the largest Croatian national research institution. Over time, Marko contributed to multiple international scientific projects, including large Pan-European collaborations within the Framework Programmes for Research and Technological Development. He actively supports the creation of Free Content (e.g. Open Access, Open-source Software, etc.) and other actions improving human liberties.
Talk: Theory and reality of human cooperation.
Abstract: Sociality, or living in groups, implies a coexistence of two opposing forces: conflict over local resources and cooperation with neighbours. These two opposing forces form the basis of evolutionary game theory whose aim is to understand the evolution and pervasiveness of cooperation in biological and social systems. More specifically, the goal is to answer how natural selection can favour costly, cooperative behaviours that benefit others. We take a look at some of the tenets of evolutionary game theory, with a focus on the gap between theoretical models and empirical facts. We offer ideas for reconciling the gap between theory and experiments while heeding the initiatives from relevant behavioural disciplines (e.g., psychology and behavioural economics) for better research practices.
Marko is a senior research scientist at Japan Fisheries Research and Education Agency. Previously he was an assistant professor at the Institute of Innovative Research, Tokyo Institute of Technology and the Center of Mathematics for Social Creativity, Hokkaido University. He was also a Japan Society for the Promotion of Science (JSPS) postdoctoral fellow at the Faculty of Sciences, Kyushu University. Marko got his PhD in Environmental Risk Management in March 2012 from Yokohama National University, an MBA degree in Finance and Banking from Zagreb School of Economics and Management (ZSEM) in July 2008, as well as a BS degree in Physics and Mathematics from the University of Rijeka in November 2003. His research career started in February 2004 at Rudjer Boskovic Institute (RBI), the largest Croatian national research institution. Over time, Marko contributed to multiple international scientific projects, including large Pan-European collaborations within the Framework Programmes for Research and Technological Development. He actively supports the creation of Free Content (e.g. Open Access, Open-source Software, etc.) and other actions improving human liberties.
Talk: Theory and reality of human cooperation.
Abstract: Sociality, or living in groups, implies a coexistence of two opposing forces: conflict over local resources and cooperation with neighbours. These two opposing forces form the basis of evolutionary game theory whose aim is to understand the evolution and pervasiveness of cooperation in biological and social systems. More specifically, the goal is to answer how natural selection can favour costly, cooperative behaviours that benefit others. We take a look at some of the tenets of evolutionary game theory, with a focus on the gap between theoretical models and empirical facts. We offer ideas for reconciling the gap between theory and experiments while heeding the initiatives from relevant behavioural disciplines (e.g., psychology and behavioural economics) for better research practices.
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