Abstract
Analysis of policy ecosystems can be challenging due to the volume of documentary and ethnographic data and the complexity of the interactions that define the ecology of such a system. This paper uses climate change adaptation policy as a case study with which to explore the potential for QE methods to model policy ecosystems. Specifically, it analyzes policies and draft policies constructed by three different categories of governmental entity—nations, state and local governments, and tribal governments or Indigenous communities—as well as guidance for policy makers produced by the United Nations Intergovernmental Panel on Climate Change and other international agencies, as a first step toward mapping the ecology of climate change adaptation policy. This case study is then used to reflect on the strengths of QE methods for analyzing policy ecosystems and areas of opportunity for further theoretical and methodological development.
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Acknowledgements
This work was funded in part by the National Science Foundation (DRL-1713110, DRL-2100320), the Wisconsin Alumni Research Foundation, and the Office of the Vice Chancellor for Research and Graduate Education at the University of Wisconsin–Madison. The opinions, findings, and conclusions do not reflect the views of the funding agencies, cooperating institutions, or other individuals.
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Ruis, A.R. (2023). Quantitative Ethnography of Policy Ecosystems: A Case Study on Climate Change Adaptation Planning. In: Damşa, C., Barany, A. (eds) Advances in Quantitative Ethnography. ICQE 2022. Communications in Computer and Information Science, vol 1785. Springer, Cham. https://doi.org/10.1007/978-3-031-31726-2_29
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