Teaching

This part of the website is under construction. Some of the links might be broken or outdated

My main teaching responsibility over the past 12 years has been the Regime Shifts module (5hp) of a larger course on System Theory and Resilience Thinking (15hp) at the Stockholm University’s Master’s program on Social-Ecological Resilience for Sustainable Development. I also co-lead an online introductory course to sustainability science, designed for people who normally cannot make it to the classroom, so all activities are run asychronously online. I have also been guess lecturer in a Quantitative Methods course for PhD students at the Stockholm Resilience Center, and the Beckmans School of Arts and Design in Stockholm.Below you find an annotated list of relevant teaching material. This work is licensed under CC BY-NC-SA 4.0 unless otherwise noted.

Lecture materials

Systems theory and resilience thinking (BL8049):

Introduction to Sustainability Science (BL7041):

The original materials were developed by Professor Jon Norberg. Currently we host the content in Athena. Unfortunately the content is not accessible unless you are part of the course (teacher, student). We have made minor updates on resources, readings and videos used.

Urban social-ecological systems (BL7031):

Sustainability Science I (BL4023):

Visual communication, at the Beckmans School of Design (VK17:207):

The lectures depend on the topic of the course, which change every year.

Climate change solutions (MI2006):

Quantitative methods for studying social-ecological systems:

Data Science for Sustainable Development:

Only lecture materials developed by Juan are included

Teaching materials

Data mining and pattern recognition is a book chapter I wrote with Stefan Daume for a book on Methods for studying social-ecological systems. It introduces students to recent developments in machine learning and the tools required to apply it to natural resource management problems. Two other chapters where I contributed are about Dynamical Systems Modelling (lead by Steve Lade) and Statistical Analysis (lead by Ingo Fetzer). The chapters, as the whole book, is open access, you can download it on the link above.

Other invited lectures that are not related to a specific education program can be found under Talks.