Current & upcoming courses

The courses are open to external PhD students unless stated otherwise and subject to availability of space. Participation is free of charge

The current and upcoming PhD courses will be announced on this web page. Please see course details for start dates, schedules, course literature and information on how to apply etc.



Food systems & Resilience, Kajsa Resare Sahlin, Magnus Nyström & Garry Peterson, 11th January - 31st March, 1.5/3/5.5 hp (open to external PhD students)

In the Anthropocene, the challenges to food systems are many and diverse. “Resilient food systems” are increasingly considered desirable and the term is sometimes used interchangeably with “sustainable food systems”, even though resilience is not inherently a property of sustainability. There is a growing body of literature focused on food systems and resilience. A previous systematic mapping of articles published between 1991 and 2018 found 128 publications1, and a preliminary search for literature published during 2019 and 2020 revealed about another 100 relevant publications. The aim of this course is therefore to gain a deeper understanding of how resilience is interpreted, applied and assessed specifically in relation to food systems and to be able to relate the current scientific knowledge on food systems and resilience to one’s own research.

The PhD course runs in parallel with a reading group at the Stockholm Resilience Centre and during the course, students will immerse themselves in a subset of the body of peer-reviewed literature on food systems and resilience, present and discuss key papers within the field and attend workshops with senior scholars.

Contact: Kajsa Resare Sahlin

Quantitative Methods for Studying Social-Ecological Systems, Maja Schlueter, Steve Lade, Therese Lindahl, Örjan Bodin & Ingo Fetzer, 15-26 November, 4hp (open to external PhD students)

• Understanding of how to conduct quantitative analysis of Social-Ecological Systems (SESs), and how to model (in the broadest sense).
• A vocabulary to talk with researchers doing ecological, economic, socialecological modeling of SES using statistical, mathematical or computational approaches.
• Overview of quantitative methods available for studying SES, particularly formal modeling, empirical analysis and methods from complexity science.
• Understanding of when and how different approaches can be used, their potentials and limitations (with based exposition of technical details).
• Understanding of different conceptualizations of SES, different approaches and their implications (e.g. what do we learn from a theoretical model, from a statistical analysis, etc.)

Contact: Maja Schlüter