Grant: Discovery Grants Program - Individual
St. Francis Xavier University
$14,000.00
Connecting Empirical and Mathematical Approaches to Collective Behaviour
FY 2021-22
Summary
animal behaviour; biological aggregation; collective behaviour; coupled oscillators; empirical collective motion; flocking; model fitting; multi-particle tracking; schooling; self-propelled particles
Program
Discovery Grants Program - Individual
Recipient
Location
Nova Scotia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2017-06094
Name nom
Lukeman, Ryan
Department département
Mathematics, Statistics, and Computer Science
Organization id
83
Institution établissement
St. Francis Xavier University
Province en
Nova Scotia
Province fr
Nouvelle-Écosse
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2021
Competition year année de concours
2017
Award amount
14000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1508
Committee name en
Mathematics and Statistics
Committee name fr
Mathématiques et statistique
Area of application code
405
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Modelling and mathematical simulation of natural processes
Area of application fr
Modélisation et simulation mathématique des processus naturels
Research subject code
2957
Research subject group en
Applied mathematics
Research subject group fr
Mathématiques appliquées
Research subject en
Mathematical biology andphysiology
Research subject fr
Mathématiques de la biologie et de la physiologie
Installment
inst:5
Partie
1
Nb partie
6
Application title
Connecting Empirical and Mathematical Approaches to Collective Behaviour
Keyword
NSERC
Application summary
animal behaviour; biological aggregation; collective behaviour; coupled oscillators; empirical collective motion; flocking; model fitting; multi-particle tracking; schooling; self-propelled particles
