Participatory Environmental Modeling

The lecture accompanies students into a participatory modelling process about a real-world environmental problem. Each problem has been co-design with a partner that will follow groups of 2-3 students. This year we propose five topics

  • What are the relevant factors involved in the decision to clear land for Cashew production in villages surrounding the Keo Seima Wildlife Sanctuary, Cambodia? – With Emiel de Lange and Henry Travers from Wildlife Conservation Society (WCS) Cambodia
  • How does participation and compliance with a Payment for Ecosystem Services scheme for cashew production in Cambodia evolve in a community setting over time? – With Emiel de Lange and Henry Travers from Wildlife Conservation Society (WCS) Cambodia
  • What are the social factors influencing the approval of alpine solar energy projects in Wallis and Graubünden? – With Aaron Heinzmann from Mountain Wilderness
  • What factors influence the perception of landscape wilderness in Switzerland? – With Luisa Deubzer from Mountain Wilderness
  • How to assemble diversified and viable farms? – With Silvère Dumazel from Transiterra

The course will be taught in English.

The output will be presented to our partners. Final mark will be given to a report.

Description in the course catalogue

Goals

In this course students will learn:

• The process of developing a model to address an environmental problem: from choosing an appropriate technique (Agent-based modelling, Bayesian Networks and System dynamics), to conceptualization and model building.

• Communication and facilitation skills to foster effective and legitimate collaboration with stakeholders.

Students then apply this knowledge and skills to a real-life case study, creating a model with stakeholders to address an environmental problem.

Dates / Time / Locations / Topics

22.02.24 - HIL D 60.1
Lecture: Introduction to Participatory Environnmental Modeling

29.02.24 - HIL D 60.1
Meeting case study partners

07.03.24 - HIL D 60.1
Lecture: Modelling cycle and adapative modelling

14.03.24 - HIL D 60.1
Lecture: What is conceptualization, and how to?

21.03.24 - HIL D 60.1
Lecture: From conceptualization to operationalization

28.03.24 - HIL D 60.1
Lecture: Selecting modelling tool: Bayesian Network (BN), agent-based modelling (ABM), System Dynamics (SD)

11.04.24 - HIL D 60.1
Lab: Coding and modelling with chosen model

18.04.24 - HIL D 60.1
Lab: Coding and modelling with chosen model

25.04.24 - HIL D 60.1
Lab: Coding and modelling with chosen model

02.05.24 - HIL D 60.1
Lab: Updating and finalizing the model

16.05.24 - HIL D 60.1
Lab: Updating and finalizing the model: Preparation for presentations

23.05.24- HIL D 60.1
Final presentation to stakeholders

30.05.24 - HIL D 60.1

Concluding remarks - Feedback partners/lecturers/students

Lecturers

Nicolas Salliou

Benjamin Black

Johann Schuur

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