ABSTRACT
This conclusion presents some closing thoughts on the key concepts discussed in the preceding chapters of this book. The book has argued that governments' ability to deliver cost-effective public policy is being held back by a reluctance to think about some of the fundamental conceptual and methodological issues raised by the process of governing. The next step in the capacity-building agenda framed in this book would be to implement a simplified and standardised Bayesian approach in systematic reviews of how effectively policy learning has been taking place in similar policy areas in different countries. As the book has demonstrated, a natural frequency-based expression of Bayesian methods makes it far easier to implement this practical approach to learning and adaptation in the public sector by avoiding the highly complex mathematical approaches necessitated by the use of conditional probability driven versions of Bayes Rule.
