Working with real-​world case studies, the Climate Innovation programme empowers climate leaders with the necessary skills and knowledge to support and lead the transition towards net zero emissions in their own context.

The course introduces the concepts of predictability, probability, uncertainty and probabilistic risk modelling and their application to climate modeling and the economics of climate adaptation.

Climate change and related-risks like extreme weather events or biodiversity loss are worsening, driving up costs across industries. This course bridges climate science and business, covering climate risk modeling, nature-related risk and opportunity assessments, and business decision-making. It also introduces sustainable finance and methods to evaluate corporate sustainability performance.

The colloquium is a series of scientific talks by prominent invited speakers assembling interested students and researchers from around Zürich. Students take part of the scientific discussions.

The colloquium is a series of scientific talks by prominent invited speakers assembling interested students and researchers from around Zürich. Students take part of the scientific discussions.

The colloquium is a series of scientific talks by prominent invited speakers assembling interested students and researchers from around Zürich. Students take part of the scientific discussions.

Between each of the nine modules that are a part of the CAS CDM, participants are expected to work on their group projects together. This amount of time should amount to 150 hours in total. Groups will be able to determine the topic and direction of this work during the in-class sessions

This course is a practical, hands-on introduction to various aspects of modelling, dealing with and managing risks across different industries, contexts and applications.

This is the first of nine modules for the Certificate of Advanced Studies in Collaborative Decision Making Under Uncertainty. Each module is designed to focus on a particular methodology and a specific theme related to climate risk and sustainable development. Each module is titled after the methodological focus of each module. The focus of this module is systems thinking.

This is the second of nine modules for the Certificate of Advanced Studies in Collaborative Decision Making Under Uncertainty. The focus of this module is on the elicitation and use of expert knowledge for collaborative processes.

This is the third of nine modules for the Certificate of Advanced Studies in Collaborative Decision Making Under Uncertainty. This focus of this module is on the use of mental models theory for collaborative processes.

This is the seventh of nine modules for the Certificate of Advanced Studies in Collaborative Decision Making Under Uncertainty. The focus of this module is to refine strategy prototypes through an exploration of potential unintended consequences and unknown unknowns.

This is the last of nine modules for the Certificate of Advanced Studies in Collaborative Decision Making Under Uncertainty. The final versions of the strategy prototypes will be presented to the public and discussed during this session.

Effective management of risks and uncertainty as well as communication of scientific evidence to stakeholders and policy-makers are essential for successful policy-advice and policy-making. Hence, this module conveys the fundamentals of risk analysis/management and of writing for policy-makers. Besides an academic perspective, it features practitioners working at the technology-policy interface.

Effective management of risks and uncertainty as well as communication of scientific evidence to stakeholders and policy-makers are essential for successful policy-advice and policy-making. Hence, this module conveys the fundamentals of risk analysis/management and of writing for policy-makers. Besides an academic perspective, it features practitioners working at the technology-policy interface.

The students develop research projects on climate change adaptation in which they combine and apply quantitative and qualitative methods for data collection and analysis. The students identify political, economically and socially acceptable adaptation measures and thus also evaluate the social and ethical dimensions of climate risk analysis and adaptation.

This course introduced students to principles of quantitative risk analysis, across a wide variety of environmental areas including weather and climate, natural hazards, and toxic substances. It also introduces them to established practices of risk management, including regulatory approaches, insurance, and contingency planning.

Analysis and presentation of research papers from the involved chairs, relating to topics from human-environment systems.