WP2: Participatory modelling for learning, prediction, and decision-making
The second work package, under the guidance of the Swiss Federal Institute of Technology in Zurich (ETHZ), will develop a generic Bayesian network model, which will be parameterized through participatory stakeholder interaction and result in a 3D collaborative virtual platform for understanding land use decision-making. In order to design cross-scale institutional arrangements, the Bayesian networks (BN) are suitable for modelling open, participatory processes that can incorporate several levels of information sophistication. This will allow us to convert land use decision models into user-oriented tools for negotiating trade-offs across multiple value systems.
Our PhD students explain in short video messages what their task is within the work package and what goals they want to achieve with their scientific work
For more information, contact: Adrienne Grêt-Regamey
Observations in the field
Challenges during a field mission
By PhD Candidate Andriatsitohaina Ravosaina Ntsiva Nirinimanitra
My 2nd fieldwork consisted of conducting a survey, a pre-validation workshop and doing some “sandry” game sessions with the farmers. The trip to our study region in Morafeno and Beanana involved motorbike rides along the coast until Rantabe, and long walks up and down the hills between the sites. To reach Mahalevona for the second part of the field mission, we traveled by boat to Andranofotsy, and then continued by motorbike.
Insight into the post-cyclone situation in our study sites in Madagascar
By Laby Patrick and R. Ntsiva N. Andriatsitohaina
Early in the morning of March 7th, 2017 tropical cyclone “Enawo” hit the northeastern ground of Madagascar as a category 4 hurricane. The slow-moving storm passed through our study region Maroantsetra, bringing strong winds (over 225 km/h or 140 mph) and heavy rain. It caused serious damages across SAVA and the northern part of the region Analanjirofo.