Complexity
CSAG Climate Frontiers Podcast Series
Listen to this series of podcasts hosted by the Climate Systems Analysis Group (CSAG) at the University of Cape Town. These are conversations between researchers and partners across Africa and globally, covering a range of topics from climate science to social science and philosophy.
Cascading Climate Impacts – Policy Simulation
The Cascading Climate Impacts Policy Simulation encourages us to go beyond the linear process in which science is passed on to society after its production by offering a more interactive and productive arrangement between science and science users.
Wicked problems – resilience, adaptation and complexity
Deciding upon policy interventions to support community resilience presents us with both a ‘wicked’ and a
‘messy’ problem and calls for ‘clumsy’ policy solutions and interventions.
‘messy’ problem and calls for ‘clumsy’ policy solutions and interventions.
Session 5: Act to Adapt
A giant board game that gets youth to prioritise resources in their community which are vulnerable to extreme weather. Youth negotiate to take individual or collective actions to adapt resources.
Session 4: See the System
A card game to see how people, places and things (resources) fit into systems, followed by an activity to systematically brainstorm and prioritise community resources.
Advancing adaptive governance of social-ecological systems through theoretical multiplicity
The aim of this paper is to examine adaptive governance as a theory of environmental governance.
The need for reflexive evaluation approaches in development cooperation
Abstract Within development cooperation, development issues are increasingly recognized as complex problems requiring new paths towards solving them. In addition...
New approaches to promoting Flexible and Forward-looking Decision Making: Insights from complexity science, climate change adaptation and ‘serious gaming’
Drawing on insights from complexity science, this paper describes what processes are needed to promote Flexible and Forward-looking Decision Making (FFDM).
Agent-based modelling
In agent based models, a society is represented by a set of agents interacting with one another and with their environment. Agents follow simple rules but can be designed to adapt their behaviour to satisfy certain goals. Thus they can be responsive to changes in the environment, such as groundwater availability in the example here.