Project publications

Hertz, T., Banitz, T., Martínez-Peña, R., Radosavljevic, S., Lindkvist, E., Johansson, L.-G., Ylikoski, P., & Schlüter, M. (2024). Eliciting the plurality of causal reasoning in social-ecological systems research. Ecology and Society, 29(1).

Radosavljevic, S., Banitz, T., Grimm, V., Johansson, L.-G., Lindkvist, E., Schlüter, M., & Ylikoski, P. (2023). Dynamical systems modeling for structural understanding of social-ecological systems: A primer. Ecological Complexity, 56, 101052.

Banitz, T., Schlüter, M., Lindkvist, E., Radosavljevic, S., Johansson, L.-G., Ylikoski, P., Martínez-Peña, R., & Grimm, V. (2022). Model-derived causal explanations are inherently constrained by hidden assumptions and context: The example of Baltic cod dynamics. Environmental Modelling & Software, 156, 105489.

Banitz, T., Hertz, T., Johansson, L.-G., Lindkvist, E., Martí­nez-Peña, R., Radosavljevic, S., Schlüter, M., Wennberg, K., Ylikoski, P., & Grimm, V. (2022). Visualization of causation in social-ecological systems. Ecology and Society, 27(1).

Hertz, T., & Mancilla Garcia, M. (2021). The Cod and the Cut: Intra-Active Intuitions. Frontiers in Sociology, 6.

Key references for our project at start-up

Arthur, E. W. B., Durlauf, S., and Lane, D. (1997). Process and Emergence in the Economy. 14.

Busemeyer, J. R. “Dynamic Systems,” in Encyclopedia of Cognitive Science Available at: [Accessed February 11, 2019].

Campbell, R. J., and Bickhard, M. H. (2011). Physicalism, Emergence and Downward Causation. Axiomathes 21, 33–56. doi:10.1007/s10516-010-9128-6.

Grimm, V., and Berger, U. (2016). Robustness analysis: Deconstructing computational models for ecological theory and applications. Ecological Modelling 326, 162–167. doi:10.1016/j.ecolmodel.2015.07.018.

Grimm, V., and Railsback, S. F. (2012). Pattern-oriented modelling: a “multi-scope” for predictive systems ecology. Philosophical Transactions of the Royal Society B: Biological Sciences 367, 298–310. doi:10.1098/rstb.2011.0180.

Hargrave, T. J., and Ven, A. H. V. D. (2006). A Collective Action Model of Institutional Innovation. The Academy of Management Review 31, 864–888.

Hedström, P., and Swedberg, R. (1998). Social_Mechanisms: An analytical Approach to Social Theory. Cambridge University Press.

Hedström, P., and Ylikoski, P. (2010). Causal Mechanisms in the Social Sciences. Annual Review of Sociology 36, 49–67. doi:10.1146/annurev.soc.012809.102632.

Levin, S., Xepapadeas, T., Crépin, A.-S., Norberg, J., de Zeeuw, A., Folke, C., et al. (2013). Social-ecological systems as complex adaptive systems: modeling and policy implications. Environment and Development Economics 18, 111–132. doi:10.1017/S1355770X12000460.

McGinnis, M. D., and Ostrom, E. (2014). Social-ecological system framework: initial changes and continuing challenges. Ecology and Society 19. doi:10.5751/ES-06387-190230.

Morgan, S. L. (2013). Handbook of causal analysis for social research. New York: Springer.

Nicholson, D. J., and Dupré, J. eds. (2018). Everything flows: towards a processual philosophy of biology. First edition. Oxford, United Kingdom: Oxford University Press.

Reyers, B., Folke, C., Moore, M.-L., Biggs, R., and Galaz, V. (2018). Social-Ecological Systems Insights for Navigating the Dynamics of the Anthropocene. Annual Review of Environment and Resources 43. doi:10.1146/annurev-environ-110615-085349.

Scheffer, M., and Carpenter, S. R. (2003). Catastrophic regime shifts in ecosystems: linking theory to observation. Trends in Ecology & Evolution 18, 648–656. doi:10.1016/j.tree.2003.09.002.

Schlüter, M., Haider, L. J., Lade, S. J., Lindkvist, E., Martin, R., Orach, K., et al. (in review). Capturing emergent phenomena in social-ecological systems – an analytical framework. Ecology And Society.

Schulze, J., Müller, B., Groeneveld, J., and Grimm, V. (2017). Agent-Based Modelling of Social-Ecological Systems: Achievements, Challenges, and a Way Forward. Journal of Artificial Societies and Social Simulation 20. doi:10.18564/jasss.3423.

Sterman, J. D. (2001). System Dynamics Modeling: Tools for Learning in a Complex World. California Management Review 43, 8–25. doi:10.2307/41166098.

Taylor, R., Besa, M. C., and Forrester, J. Agent-based modelling: A tool for addressing the complexity of environment and development policy issues. 24.