Rachael Garrett: Catalogue data in Autumn Semester 2020

Name Dr. Rachael Garrett
DepartmentHumanities, Social and Political Sciences
RelationshipAssistant Professor (Tenure Track)

701-0658-00LSeminar for Bachelor Students: Anthroposphere3 credits2SA. Müller, D. N. Bresch, R. Garrett, M. Siegrist
AbstractAnalysis and presentation of research papers from the involved chairs, relating to topics from human-environment systems.
ObjectiveThe students learn to read, understand, summarize and present current research papers related to human-environment systems. Furthermore, students train the critical discussion of these papers. The students alse get to know a number of innovative approaches for such presentations.
ContentResearch in human-environment systems is characterised by a broad range of topics and methods. This is illustrated by the research papers that are discussed in this seminar. Students choose a paper from a list and present it to the seminar participants. Furthermore, they lead the discussion and train questions and answers related to such presentations. In the first three lessons, inputs to presentation techniques and innovative approaches to presentations are provided and discussed.
Lecture notesWill be provided in the seminar.
LiteratureWill be provided in the seminar.
Prerequisites / Noticenone
701-1565-00LQuantitative Policy Analysis and Modeling6 credits4GA. Patt, R. Garrett, S. Pfenninger, B. Pickering
AbstractThe lectures will introduce students to the principles of quantitative policy analysis, namely the methods to predict and evaluate the social, economic, and environmental effects of alternative strategies to achieve public objectives. A series of individual assignments, and one group project, will give students an opportunity for students to apply those methods to a set of case studies
ObjectiveThe objectives of this course are to develop the following key skills necessary for policy analysts:
- Identifying the critical quantitative factors that are of importance to policy makers in a range of decision-making situations.
- Developing conceptual models of the types of processes and relationships governing these quantitative factors, including stock-flow dynamics, feedback loops, optimization, sources and effects of uncertainty, and agent coordination problems.
- Develop and program numerical models to simulate the processes and relationships, in order to identify policy problems and the effects of policy interventions.
- Communicate the findings from these simulations and associated analysis in a manner that makes transparent their theoretical foundation, the level and sources of uncertainty, and ultimately their applicability to the policy problem.
The course will proceed through a series of policy analysis and modeling exercises, involving real-world or hypothetical problems. The specific examples around which work will be done will concern the environment, energy, health, and natural hazards management.