CHOICES3

See full page

1. Bayesian inference: Motivation and simple example. 

2. The likelihood. 

3. A detour to explore priors. 

4. Markov chains Monte Carlo methods (MCMC)

5. Bayesian analyses in R with the Jags software.  

6. Contrast scientific hypotheses with model selection (WAIC).

7. Heterogeneity and multilevel models (aka mixed models. 

See full page

Strategic Environmental Management Analysis (SEMA) is a theoretical framework that makes it possible to base an analysis of a management situation on a clearly expressed environmental concern. It allows for a precise clarification of the exercise of environmental responsibility in relation to the exercise of other collective responsibilities, within the framework of a pluralistic debate. By identifying the basic structures of environmental management situations, particularly in international contexts, it provides the criteria that explain the difficulties that public policies on the environment have in emerging in relation to other areas of public action - in particular development policies - and that make it possible to identify the room for manoeuvre to encourage changes to take greater responsibility for environmental problems. The module is based on two main elements: (1) the presentation of different research-intervention studies using this framework of analysis in order to explain the implementation of the ASGE work registers, (2) a supervised assignment that combines the critical analysis of environmental project documents with the development of an alternative research-intervention study proposal using the ASGE framework, which is presented and discussed collectively at the end of the module.

See full page