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.
Quantitative Methods for Studying Social-Ecological Systems, James Watson & Maja Schlueter, 9-22 June, 3hp
• 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.) Read more (pdf, 65.1 kB).
Qualitative Methods for Social-Ecological Resilience Research, Beatrice Crona & Frances Westley, September 2016 - May 2017, 5hp (open to SRC students only)
The purpose of this course is to introduce doctoral students to field methods and qualitative data analysis, including such methods as unstructured interviews and observation. Students will become acquainted with the epistemology of qualitative approaches and with developing skills in all areas of qualitative methodology, through first-hand experience of using these methods to collect and analyze data on an appropriate topic.
Students will be expected to identify such a topic and research question early in the course (with the help o the instructor), and carrying out a qualitative research project over the duration of the course. The course will be based around a set of 4 classroom sessions led by Frances Westley with support from SRC researchers, each
followed by interim clinics where students will get feedback on their assignments and have the opportunity to discuss this with senior researchers at SRC. Read more. (pdf, 343.1 kB)
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