THE CLIMATE CONSTITUENCIES PROJET
This project studies how climate policy networks around the United States are evolving. It documents the ideological and policy networks operating at the state and federal levels on climate/clean energy issues and observes how they are changing over time. The research maps out what clusters are forming around particular climate-related issues, what explains the formation of these clusters, and how they are related to specific policy actors. The methodology, which builds on previously NSF-funded research (see COMPON below for details), involves data collected from public documents, social media, and from policy actors engaged in the debates around climate/clean energy issues.
Along with the federal level, the project is currently focusing on state-level activities in Florida, Nevada, North Carolina, and Ohio. This project is funded by the MacArthur Foundation.
Previous Related Research (COMPON PROJECT):
I directed the US case study for this project, which was funded by a grant from the Human and Social Dynamics Program of the National Science Foundation from 2008-2012.
Peer-reviewed publications include:
Jasny, Lorien, Joseph Waggle, and Dana R. Fisher.2015. “An Empirical Examination of Echo Chambers in US Climate Policy Networks.” Nature Climate Change. 5: 782-786. doi: 10.1038/nclimate2666
Fisher, Dana R., Joseph Waggle, and Lorien Jasny. 2015. “Not a Snowball’s Chance for Science.” Contexts. Fall: 44-49. DOI: 10.1177/1536504215611896
Fisher, Dana R., Joseph Waggle, and Philip Leifeld. 2013. “Where Does Political Polarization Come From? Locating Polarization Within the U.S. Climate Change Debate.” American Behavioral Scientist. Volume 57, Issue 1: 70 - 92.
Fisher, Dana R. Philip Leifield, and Yoko Iwaki. 2013. “Mapping the Ideological Networks of American Climate Politics." Climatic Change. Volume 116: 523-545.
Survey Instrument for 2010 survey.
Dataset used in articles published in 2015 (formatted in accordance with the Institutional Review Boards at Columbia University [IRB Protocol # IRB-AAAG2612] and the University of Maryland [IRB Protocol #10-0751].
Codebook for analysis of 2010 data
Code for running the analysis in R (for 2010 data)
department of sociology ▪ university of maryland ▪ email@example.com