Aldo Leopold made great contributions to our understanding of the interconnections between people and their environments, and community is central to his best-known work. The social dimensions of the land-community concept were not his focus, however, and subsequent research on Leopold has not emphasized such issues. Community was foundational to sociology, and while the concept faded from prominence during the significant social change of the postwar era, some scholars in the field continue to debate its meaning and salience more than 130 years later. They generally do not discuss Leopold, though, and the "fusion" of ecological and sociological thought that he desired remains elusive. I propose a convergence via the integrative landscape interactional field extension of community. The goal is to revitalize the community concept and strengthen the connection between ecological and sociological research, while helping us better understand the reality of humans and their environments-how we live and might live in particular places.
What can be learned from the process of community-engaged research (CER) on refugee resettlement? In the following, we share experiences, reflections, and lessons from implementing such a project. We begin with background on refugee resettlement and recent resettlement dynamics in the United States and Wisconsin, as well as literature on the study of refugees and this type of research more generally. Results and discussion are presented though our understanding of, and involvement with, the process via a framework of CER desired process outcomes, which we both propose and utilize to encourage effective efforts with marginalized populations going forward. CER is challenging and must be undertaken thoughtfully. One of the paper’s primary contributions is to share successes and failures in a transparent and unvarnished fashion. In particular, researchers need to share power and listen deeply, actions that will reverberate throughout such a process. Doing so comes with certain risks, and may be tangled, but also has strong potential to produce useful data, deep learning for researchers and participants, as well as empowerment of marginalized populations and relationship building that can yield future collaboration towards resilience.
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