Abstract
This chapter presents a framework for better contextualizing the concept of integrating more data-driven decision making (DDDM) in community development. We relate DDDM to its use in other fields, specifically Business Management and Educational Studies. From the field of Educational Studies, we develop a series of questions that may be considered to support the still developing epistemology of DDDM in community development. We then, situate DDDM firmly within the toolbox of planning and planning history in the US. As such, we utilize and compare a few planning methods to support better understanding of what DDDM is and what it is not. We then present our recommendation that DDDM can be addressed, through the adoption and development of community indicator programs. Community indicator programs are an excellent tool to connect different forms of knowledge with different forms of action for enhanced community development practice.
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Abraham, D. (2020). Data-Driven Decision Making and Community Indicators: Towards an Integration of DDDM in Community Development. In: Ridzi, F., Stevens, C., Davern, M. (eds) Community Quality-of-Life Indicators. Community Quality-of-Life and Well-Being. Springer, Cham. https://doi.org/10.1007/978-3-030-48182-7_11
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DOI: https://doi.org/10.1007/978-3-030-48182-7_11
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