Preliminary dates: Spring 2022, tba
Registration dates: TBA, typically some months before course start
Coordinating university: Hamburg University of Applied Sciences (HAW)
SPACES project: EMSAfrica
The content of this interdisciplinary course is tailored according to the individual needs of the participants. The course will introduce the participants to:
- Multi-agent modelling & simulation using MARS
- Sharpening your individual research question
- Establishing conceptual models
- Implementing MARS models
- Creating and running agent-based simulation scenarios
- Working with temporal and spatial data, and
- Deriving value from simulation runs.
- Seminaristic lessons
- Hands-on experimentation in small groups
- Group discussions
Expected learning outcomes:
Participants who have successfully completed this module should:
- have gained practical experiences in working in international and interdisciplinary teams
- have acquired an overview about agent-based modelling and how/when to apply this paradigm
- be capable of designing and implementing basic MARS models
This course is aimed at (Southern African) PhD Students, post docs, lecturers and scientists from a variety of disciplines, with a general interest in the SPACES II programme research themes.
This course is organised in collaboration with SASSCAL (Southern African Science Service Centre for Climate Change and Adaptive Land Management)
The following criteria will be used to select South African participants: Personal motivation letter that articulates how the course will benefit the participant’s development Academic record A supporting letter from an academic mentor South African National Research Foundation’s diversity and gender criteria South African participants travel, accommodation and basic catering will funded.