My life is closely connected to academia, both as a student, a teacher and a researcher. Even when I take the latter two roles, I consider myself as a life long student of the university where I work. The more I learn, the more I know how much there is to learn. I enjoy this journey of intellectual insatiation.
My research ranges from behavioral responses of resource users to different conservation policies such as payments, command and control and community management to simulation based modeling of the mechanisms that lead to (non-)cooperation in common pool resource settings. Since recently, I have become highly interested in machine learning methods and their application to the prediction of both various conservation outcomes and behavioral responses of resource users under different combinations of characteristics. My previous and current research projects are described in detail here.
I will start by quoting Robert Heinlein: "When one teaches, two learn." I learnt this when I was tutoring my classmates in junior high school. Since then, I have tried to use any opportunity I get to teach to maximize my learning (both quality and efficiency).
Teaching is a profession that helps one to push their boundaries in many directions beyond their comfort status quo. In addition to knowing the material one wants to teach, the teacher needs good communication skills and a sensitivity and understanding of the feelings of other people. I did most of my teaching without sufficient pedagogical knowledge. I relied on the best practices I had seen in my best teachers. Only when I took a course on teaching in higher education at SLU in the fall, 2020 have I learnt the depth of the art of teaching. I have more information on my teaching experience, courses I taught and upcoming courses here.