Tag: Complexity Sciences

The Evaluation Of Complex Infrastructure Projects: A Guide To Qualitative Comparative Analysis

Our book is now available at Edward Elgar! The book can be ordered at the website of Edward Elgar (here) with a promotional discount of 35% using the code “VIP35” (valid in July 2018). Infrastructure projects are notoriously hard to manage so it is important that society learns from the successes and mistakes made over …

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Addressing The Evaluation-Implementation Gap In Infrastructure Megaproject Research With Qualitative Comparative Analysis

In this book chapter, I argue that there is a gap between the evaluation and implementation of mega projects, and I advocate Qualitative Comparative Analysis (QCA) as a remedy notably in transport infrastructure research and evaluation. Mega project evaluation tends to focus excessively on the planning stage, overlooking the complexities involved in the implementation of mega …

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Qualitative Comparative Analysis As A Method For Evaluating Complex Cases: An Overview Of Literature And A Stepwise Guide With Empirical Application

The complexity of many cases, such as public projects and programs, requires evaluation methods that acknowledge this complexity in order to facilitate learning. On the one hand, the complexity of the cases derives from their uniqueness and nested nature. On the other hand, there is a need to compare cases in such a way that …

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Rethinking Environmental Justice In Sustainable Cities: Insights From Agent-Based Modeling

Many of the phenomena studied by public administration and policy researchers emerge as a result of complex interactions between various factors over time. That is, these phenomena are systemic and display properties of complex systems. As a consequence, they cannot be explained in a simple way by inquiring into the net effect of a variable on some outcome of …

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Taking Stock Of Complexity In Evaluation: A Discussion Of Three Recent Publications

Arguably, the current interest in the complexity sciences has its roots in the natural sciences, often in interplay with, and enhanced by, developments in mathematics and informatics. An oft-cited reason for this interest has been the increased ability of current computing systems to deal with complex mathematics and algorithms. As complexity gains more traction in the natural sciences, …

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