Eight grand challenges in socio-environmental systems modeling

By Sondoss Elsawah and Anthony J. Jakeman

authors_sondoss-elsawah_anthony-jakeman
1. Sondoss Elsawah (biography)
2. Anthony Jakeman (biography)

As we enter a new decade with numerous looming social and environmental issues, what are the challenges and opportunities facing the scientific community to unlock the potential of socio-environmental systems modeling?

What is socio-environmental systems modelling?

Socio-environmental systems modelling:

  1. involves developing and/or applying models to investigate complex problems arising from interactions among human (ie. social, economic) and natural (ie. biophysical, ecological, environmental) systems.
  2. can be used to support multiple goals, such as informing decision making and actionable science, promoting learning, education and communication.
  3. is based on a diverse set of computational modeling approaches, including system dynamics, Bayesian networks, agent-based models, dynamic stochastic equilibrium models, statistical microsimulation models and hybrid approaches.

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A process model for teaching interdisciplinary research

By Machiel Keestra

Machiel Keestra (biography)

How can we effectively teach interdisciplinary research to undergraduate and masters students? What is needed to encompass research ranging from cultural analysis of an Etruscan religious symbol to the search for a sustainable solution for tomato farming in drying areas? Given that there is no predetermined set of theories, methods and insights, as is the case with disciplinary research, what would an interdisciplinary textbook cover? How can such a textbook accommodate the fact that interdisciplinary research usually requires students to collaborate with each other, for which they also need to be able to articulate their own cognitive processes? Understandably, a textbook for interdisciplinary research must focus in a rather general sense on the process implied in such research.

In teaching more than 15 cohorts of undergraduate and masters students at the Institute for Interdisciplinary Studies (IIS) at the University of Amsterdam, who are conducting research projects in interdisciplinary teams and with a strong emphasis on empirical research, we have developed an IIS model. This model is arranged in four research phases: orientation, preparation, data (collection and analysis) and finalization. The key tasks in each phase are summarised in the following figure.

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