This paper proposes a new challenge in policy evaluation: to improve the online data efficiency of Monte Carlo methods via information extracted from offline while maintaining unbiasedness methods.

With the development of storage technique, new caching policies are continuously being introduced, which makes it increasingly important for cache systems to select the optimal caching policy dynamically under varying workloads. This paper proposes SOPA, a mechanism to adaptively select the optimal policy and perform policy switching. First, SOPA encapsulates the functions of a caching policy i...

Do different institutional arrangements of public policy evaluation systems produce results in promoting accountability and government effectiveness? Our study aims at discussing the governance systems. For such purpose, Canada, Chile, France, Mexico, Spain, Sweden, United Kingdom, States were analyzed using QCA methodology. analysis seeks to evaluate for conditions necessary sufficient them pr...

Two main functions of evaluation are to enable accountability and collective learning. Both of these – and their combination – run into divers complications when applied in complex multi-actor policy processes. The article explores these complications and illustrates these with examples from the field of spatial policy. In doing so a third function of evaluation in such contexts is identified, ...