John Fell OxGame project
Asking questions can be problematic, particularly when there are disparities of outlook, education and nationality. Asking hypothetical questions and considering future scenarios is particularly difficult when working with, for example, rural African farmers (however we suggest such questions are problematic everywhere).
Participatory computer modelling is a technique that has been used to help researchers and communities understand issue and envisage future solutions in these contexts. We propose to use the Modelling4All software to build a toolkit that can be used to construct a diverse range of agent-based computer models with farmers, researchers and policy-makers in Cameroon. Specifically we will focus on climate adaptation strategies with respect to crop selection.
We aim to gain a better understanding of how computer models can be built that enable local participants to consider the status quo, gain insights into how to recover from crises, and envisage the future. In particular we will focus on the design and use of game-like elements that enable participants to express a deep understanding of their world through the way they interact with the model. We want to understand how immersive and playful computing environment can be used to generate meaningful research data and support climate adaptation strategies in Cameroon.
- Start date: December 2012
- Duration: 12 months
- Project team: Prof. David Zeitlyn, Howard Noble and Ken Kahn
- Collaborations: The project team is working closely with researchers at Yaounde and Dchang University in Cameroon, and the Stockholm Environment Institute.
- Read the project blog
- ICT SEM Workshop report