Abstract (EN)

This chapter introduces existing decision analysis analytic methods and tools that can be used to support the different phase of the policy cycle, using concepts from decision analysis and policy analytics. It discusses the decision-aiding perspective for the design and evaluation of policies. The chapter focuses on the importance of the policy design phase, introducing an innovative participatory tool to support policymakers and relevant stakeholders during the design of policy alternatives. Algorithmic models can be used to contribute to evidence bases and are increasingly used to inform policymakers. There are two aspects of digital transformation cited when talking about policy analytics tools. The first concerns the active systemic use of data in different phases of the policy cycle and for designing data-dependent policies. The second relates to the passive use of algorithms in running utilities and services, introducing the concept of a policy designed by induction.