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Addressing the challenges of sustainable and equitable city management in the 21st century requires innovative solutions and integration from a range of dedicated actors. In order to form and fortify partnerships of multi-sectoral collaboration, expand effective governance, and build collective resiliency it is important to understand the network of existing stewardship organizations. The term ‘stewardship’ encompasses a spectrum of local agents dedicated to the evolving process of community care and restoration. Groups involved in stewardship across Baltimore are catalysts of change through a variety of conservation, management, monitoring, transformation, education, and advocacy activities for the local environment – many with common goals of joint resource management, distributive justice, and community power sharing. The “environment” here is intentionally broadly defined as land, air, water, energy and more. The Stewardship Mapping and Assessment Project (STEW-MAP) is a method of data collection and visualization that tracks the characteristics of organizations and their financial and informational flows across sectors and geographic boundaries. The survey includes questions about three facets of environmental stewardship groups: 1) organizational characteristics, 2) collaboration networks, and 3) stewardship “turfs” where each organization works. The data have been analyzed alongside landcover and demographic data and used in multi-city studies incorporating similar datasets across major urban areas of the U.S. Additional information about the growing network of cities conducting stewmap can be found here: https://www.nrs.fs.usda.gov/STEW-MAP/ Romolini, Michele; Grove, J. Morgan; Locke, Dexter H. 2013. Assessing and comparing relationships between urban environmental stewardship networks and land cover in Baltimore and Seattle. Landscape and Urban Planning. 120: 190-207. https://www.fs.usda.gov/research/treesearch/44985 Johnson, M., D. H. Locke, E. Svendsen, L. Campbell, L. M. Westphal, M. Romolini, and J. Grove. 2019. Context matters: influence of organizational, environmental, and social factors on civic environmental stewardship group intensity. Ecology and Society 24(4): 1. https://doi.org/10.5751/ES-10924-240401 Ponte, S. 2023. Social-ecological processes and dynamics of urban forests as green stormwater infrastructure in Maryland, USA. Doctoral dissertation, University of Maryland, College Park, MD.
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How to avoid the “infrastructural blues”? Studying‐while‐caring for data stewardship
When it comes to climate crisis research, current debates are increasingly thematizing the needs but also the challenges of collaborative, transdisciplinary work. Geophysical characterizations of climate change are increasingly deemed insufficient to respond to the challenges that vulnerable communities face worldwide. In this paper, I describe the work of studying‐while‐caring for an environmental data infrastructure in order to address this issue. I suggest framing “data management” anthropologically as a question of collective stewardship that is better conceived as a “knowledge infrastructure” (Edwards 2010) instead of a formal approach to automated data curation. To examine the sociotechnical blindspots of data management, I elaborate on the anthropological concept of “infrastructural blues” based on the data engineering work I conducted. For the conclusion, I discuss the concept of “common” as a substitute for “open” technologies and address the broader implications of the proposed shift toward community stewardship and self‐determination as guiding practices for socio‐environmental data governance.
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- Award ID(s):
- 2022639
- PAR ID:
- 10654580
- Publisher / Repository:
- John Wiley & Sons; National Association for the Practice of Anthropology (NAPA) & American Anthropological Association (AAA)
- Date Published:
- Journal Name:
- Annals of Anthropological Practice
- Volume:
- 48
- Issue:
- 1
- ISSN:
- 2153-957X
- Page Range / eLocation ID:
- 36 to 51
- Subject(s) / Keyword(s):
- data management data stewardship environmental data climate data data engineering
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1111/napa.12208
