Objective
This research project will develop novel tools to investigate the interactions between individuals and the behavioral and cognitive mechanisms that promote the emergence of collective intelligence in humans, by integrating methods from biology, physics, economics and social sciences. Economics and biology, two disciplines that study the behavior of living beings, have followed distinct routes to analyze the behavior of human groups. While macroeconomic models rely on complex individual behavior and study static equilibria and steady states, biologists tend to focus on simple individual behaviors to study population heterogeneities and complex group dynamics. Simultaneously, physicists have developed a powerful set of methods and mathematical models to study the dynamics of particle systems and are very recently being combined with behavioral heuristics borrowed from cognitive science. Merging experimental and theoretical work, we will investigate the mechanisms by which the processing of information between individuals lead to collective decisions, and the specific situations where individual behaviors and choices are affected by the group. We will design and execute specific experiments to study how human groups select alternative solutions to solve specific problems, where anticipation about future actions/events will be formulated under different conditions of information. The resulting mathematical models based on the experimental data, including behavioral and cognitive processes at the individual scale, will give access to the type of information needed by the group to become more efficient in solving a given problem. These models will be analytically and numerically studied by means of classical and novel tools of statistical physics, complex networks and game theory. The present project thus aims to combine insights and methods from diverse disciplines to deliver novel hybrid models to study the emergence of collective intelligence in social human systems.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences mathematics applied mathematics game theory
- natural sciences computer and information sciences software software applications virtual reality
- natural sciences biological sciences biological behavioural sciences ethology
- natural sciences computer and information sciences data science data processing
- natural sciences mathematics applied mathematics mathematical model
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
See all projects funded under this programme -
H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-EF-CAR - CAR – Career Restart panel
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2014
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
31062 Toulouse Cedex 9
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.