Name: Marina Papadopoulou
Type: User
Company: University of Swansea
Bio: Computational biologist | Postdoc on collective animal behaviour | Agent-based models of self-organization in social systems
#makeswarmsnotwar
Twitter: MarinaVPap
Location: Swansea, UK
Blog: www.marinapapadopoulou.com
Marina Papadopoulou's Projects
Extension of the HoPE model, an ABM simulating collective escape of pigeon flocks based on self-organization.
Data and code accompanying the paper: 'Dynamics of collective motion across time and species' by Papadopoulou et al.
An ABM simulating collective escape of bird flocks based on self-organization. Adjusted to study dynamics of collective turning.
A blog built using Django. Created during the 2018 Django Girls workshop in Amsterdam.
A repository for the data and code that reproduces the statistical analysis and plots of: Fürtbauer et al. (Under review).
An ABM simulating collective escape of bird flocks based on self-organization. Adjusted to the specifics of homing pigeons.
This repository contains the data and code used in the research project: "Emergence of splits and collective turns in pigeon flocks under predation"
Code and Data link for the manuscript "Self-organization of collective escape in pigeon flocks"
Macro Evolutionary Likelihood models: Single-Lineage-Shift model.
A R package to process and analyze collective behavior data
An R package for the comparative analysis of collective motion data in the swarm space.
A data frame class for tracking data