Objective
The contemporary urban social environment contains an inherent contradiction at its heart: we live in very large social communities, but our natural community size (as reflected in the size of our personal social networks) is very small (~150, now known as Dunbar’s Number). I argue that a tension between prosociality (facilitating social cohesion in small communities) and selfishness (the individualism that undermines cohesion in very large communities) is responsible for much of the dysfunctionality that lies at the heart of contemporary urban society. This project proposes a novel multi-disciplinary approach to exploring the processes that underpin the social relationships on which community cohesion is based. It will do this through a series of experimental and sociological studies of interpersonal relationships and the cognitive and neurobiological mechanisms that underpin them, based on integrating theory from evolutionary, cognitive, social and neuro-psychology, combined with insights from evolutionary economics and sociological network analysis. Doing so will allow us to ask whether we can extend the mechanisms involved to enable greater social cohesiveness in modern urbanised societies – probably the single most difficult issue that we currently face. In addition, the findings will have implications for how businesses and other public organisations are structured, as well as the design of digital communication technology. Lastly, by drawing on a range of different social science disciplines, I hope it will be possible to develop a framework for building a more integrated social sciences that can compete more effectively with the mainstream sciences.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
You need to log in or register to use this function
Call for proposal
ERC-2011-ADG_20110406
See other projects for this call
Funding Scheme
ERC-AG - ERC Advanced GrantHost institution
OX1 2JD Oxford
United Kingdom