Spatial Structure in Population Models: Bridging Theory and Data

Joy Lukman

  • 20 April 2020 - 24 April 2020
    8:00 am - 5:00 pm

Organisers: Matthew Simpson (Queensland University of Technology), Michael Plank (University of Canterbury, New Zealand), Rachelle Binny (Manaaki Whenua, New Zealand),  Maria Bruna (University of Cambridge, United Kingdom)

Program Description: The aim of the program is to explore new spatial moment dynamics theory and parameter inference techniques and develop new algorithms for fitting spatial moment dynamic models to empirical data. The spatial moment dynamics theme will focus on the application to spatially heterogeneous populations, while the parameter inference theme will focus on likelihood-based methods. Progress in these two areas combined will synergistically increase the impact of mathematical and statistical research in spatial moment dynamics, by expanding the range of scenarios in which they are applicable and by allowing them to be used in conjunction with empirical data. The participants will be a mixture of research areas (applied mathematicians experienced with spatial moment dynamics and Bayesian/spatial statisticians), Australian and international researchers, as well as balance of gender and career stage from both academia and industry. This will foster new international collaborations and opportunities for early career researchers to forge new connections and establish innovative research projects.

Program Structure: TBD


  • Deadline: (two months before event start)
  • Registration is by invitation only


MATRIX Wine and Cheese Afternoon 21 April 2020
On the first Tuesday of each program, MATRIX provides a pre-dinner wine and cheese afternoon. Produce is locally-sourced to showcase delicacies from the region.