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Evaluating Complexity

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Second-order Learning in Developmental Evaluation
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Abstract

The findings from evaluations of community-based sustainability and international developmental aid initiatives are generally disappointing. Mitchell reviews the literature and concludes that the findings converge around an instrumental critique, which holds that the monitoring and evaluation frameworks and indicators are inappropriate or inadequate and that project practitioners are ill-equipped to collect, analyse and manage evaluation data, and a design error critique, which suggests that projects deployed to address complex and wicked problems are predicated on a linear design model. Mitchell introduces and discusses the developmental evaluation approach that supports practitioners to draw from their project-based experience to innovate and respond adaptively to complex operating conditions.

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Notes

  1. 1.

    This runs counter to Morton’s argument that ecological thought only begins when we recognise that there is no ‘place’, and that the localisation of ecological concern is a convenience of bounded rationality (Morton 2010). This is considered further with reference to second order cybernetics in Chapter 3.

  2. 2.

    Available at: https://www.journals.elsevier.com/ecological-indicators.

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Correspondence to Andrew Mitchell .

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Mitchell, A. (2019). Evaluating Complexity. In: Second-order Learning in Developmental Evaluation. Palgrave Pivot, Cham. https://doi.org/10.1007/978-3-319-99371-3_2

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