ID-CAB

Individual differences in Collective Animal Behaviour

 Coordinatore UPPSALA UNIVERSITET 

Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.

 Nazionalità Coordinatore Sweden [SE]
 Totale costo 977˙768 €
 EC contributo 977˙768 €
 Programma FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call ERC-2009-StG
 Funding Scheme ERC-SG
 Anno di inizio 2010
 Periodo (anno-mese-giorno) 2010-02-01   -   2015-01-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    UPPSALA UNIVERSITET

 Organization address address: SANKT OLOFSGATAN 10 B
city: UPPSALA
postcode: 751 05

contact info
Titolo: Mr.
Nome: Johan
Cognome: Tysk
Email: send email
Telefono: +46 18 4713212
Fax: 46184713201

SE (UPPSALA) hostInstitution 977˙768.00
2    UPPSALA UNIVERSITET

 Organization address address: SANKT OLOFSGATAN 10 B
city: UPPSALA
postcode: 751 05

contact info
Titolo: Prof.
Nome: David
Cognome: Sumpter
Email: send email
Telefono: 0046 18 4713214

SE (UPPSALA) hostInstitution 977˙768.00

Mappa


 Word cloud

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interact    models    individual    differences    animals    mathematical    units    individuals    groups    decision    form    organisms    scientific   

 Obiettivo del progetto (Objective)

'One of the key challenges in scientific research is to link together our understanding of different levels of biological organisation. This challenge is fundamental to the scientific endeavour: from understand how genes interact to drive the cell, to how cells interact to form organisms, up to how organisms interact to form groups and societies. My own and the research of others has addressed this question in the context of the collective behaviour of animals. Mathematical models of complex systems have been used to successfully predict experimental outcome. Most previous studies are however limited in one important aspect: individuals are treated as identical units. The aim of the proposed research proposed is to investigate features which produce differences within the units. The model systems of our study will be sticklebacks, homing pigeons and house sparrows. Individuals can differ from each other on a range of time scales, from information acquired within the last few minutes, through socially learnt information, to genetically inherited differences. Through a series of experiments on each of the study species, the development of mathematical models which incorporate between individual differences, and novel forms of data analysis, we will begin to understand the role played by individual differences within groups. We will look at the rules of motion for fish and birds; the role of personality in decision-making and how short term information differences improve decision-making accuracy. Achieving the project objectives will greatly enhance our understanding of the relationship between individual animals and the groups they live in, as well as impacting on our understanding of individual differences in other areas of biology.'

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COLDSIM (2013)

Cold gases with long-range interactions: Non-equilibrium dynamics and complex simulations

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CODAMODA (2011)

Controlling Data Movement in the Digital Age

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MINERVA (2014)

Communication Theoretical Foundations of Nervous System Towards BIO-inspired Nanonetworks and ICT-inspired Neuro-treatment

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