A Complexity-Based Plan for Evaluating Transformation

Abstract This article presents a case for more rigorous application of complexity science in our efforts to evaluate activity that seeks bring about transformative change. It builds on the work is already going evaluation community. Three constructs from are employed – sensitive dependence, emergence, and social attractors. The paper argues if–then logic recommended small-scale change within transformation efforts, but writ large, data must be embedded in, interpreted terms of, complex behavior. Methodologies evaluating this framework presented. argument linked definition multidimensional, non-linear, measurable. built around generic model transformational shows how can customized specific scenarios. also with respect accomplished methodologies well known well-practiced