Foundations for behavioral change

Lindahl, T., C. Schill, D. Collste, A.-S. Crépin, C. Folke, and V. Galaz. 2022. Foundations for behavioral change. In: Galaz, V. and D. Collste (eds.) Economy and Finance for a Just Future on a Thriving Planet. Report for Stockholm+50. Beijer Institute of Ecological Economics (Royal Swedish Academy of Sciences) and the Stock­holm Resilience Centre (Stockholm University), Chapter 6.

Transforming societies towards sustainability requires that individuals, groups and the private and societal sectors alike, change their behaviours. Since behaviour is, to a large extent, guided by social norms, a change of norms has the potential to ignite the necessary large-scale behavioural shifts.

Book chapter
Data mining and pattern recognition

Rocha, J.C. and S. Daume. 2021. Data mining and pattern recognition. In: Biggs, R., A. De Vos, R. Preiser, H. Clements, K. Maciejewski, and M. Schlüter. The Routledge Handbook of Re­search Methods for Social-Ecological Systems. Routledge, London, UK. Pp. 24-251.

Book chapter
Data Mining and Pattern Recognition

Rocha, C.J., and S. Daume. 2021. Data Mining and Pattern Recognition. In: Biggs, R., de Vos, A., Preiser, R., Clements, H., Maciejewski, K. and M. Schlüter (Eds.). The Routledge Handbook of Research Methods for Social-Ecological Systems. Routledge, London, UK. Pp. Chapter 17.

Chapter 17 deals with data mining and pattern recognition, which are methods in data science. A general purpose of data science is pattern discovery from unstructured and heterogeneous sources of data through data mining and machine learning. The chapter discusses data wrangling, clustering analysis, regression trees, neural networks, sentiment analysis and topic models. It goes on to discuss the types of social-ecological systems (SES) problems...