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IBSEN

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Bridging the gap from Individual Behaviour to the Socio tEchnical MaN

Developing models of real-world societal scenarios and systems is a key topic in the research agenda of social sciences, but is hindered by the lack of controlled experimentation with large groups of people. IBSEN will provide a b... ver más

31/08/2018

UC3M

3M€

Presupuesto del proyecto: 3M€

Líder del proyecto

UNIVERSIDAD CARLOS III DE MADRID No se ha especificado una descripción o un objeto social para esta compañía.

Total investigadores 1335

Fecha límite participación Sin fecha límite de participación.

Ver 8 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2018-08-31

FETOPEN-RIA-2014-2015: FET-Open research projects

I+D

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

8 Participantes

UC3M

478.18K€ | Lider

ASTURIANA DE LAMINADOS,

543.24K€ | Participante

UvA

400.00K€ | Participante

THE CHANCELLOR MASTERS AND S...

338.49K€ | Participante

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Duración del proyecto: 39 meses Fecha Inicio: 2015-05-26
Fecha Fin: 2018-08-31

Líder del proyecto

UNIVERSIDAD CARLOS III DE MADRID No se ha especificado una descripción o un objeto social para esta compañía.

Total investigadores 1335

Presupuesto del proyecto 3M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Developing models of real-world societal scenarios and systems is a key topic in the research agenda of social sciences, but is hindered by the lack of controlled experimentation with large groups of people. IBSEN will provide a breakthrough by building a repertoire of human behaviour in large (1000+ persons) structured groups using controlled experiments. To that end, we will develop a novel setup for large groups of people that will provide an experimental protocol, the necessary software and analytical tools to allow us to deal with thousands of people at the same time. We will apply our setup to specific research questions, focusing on novel phenomenology that may arise in large systems as compared to typical smaller ones, to find the rules that govern human behaviour in those cases, including the influence of social context and individual identity on them. We will assess our approach by building a model of human interaction in groups based on the behavioural rules we have found. The project requires a high-degree of interdisciplinarity; accordingly, the team consists of physicists, economists, social psychologists, and computer scientists. On the other hand, this is a high-risk project, as the experimental design may prove unfeasible for really large systems and extracting meaningful data from the participants’ actions may not be possible. Notwithstanding, encouraging results in some pilot studies run by partners underpin the scientific feasibility of the concept and approach. If successful, researchers will be able to build on our findings to develop a human behaviour simulator, a technology providing a basis for socio-economic simulations that would radically change many fields, from robotics to economics, with technological and societal impacts, including policy-making in socially pressing issues. We will thus lay the foundations to kick start a new way of doing social science for the problems arising in a technologically highly connected society.

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