We study the use of WebdamLog, a declarative high-level language in the style of datalog, to support the distribution of both data and knowledge (i.e., programs) over a network of autonomous peers. The main novelty of WebdamLog compared to datalog is its use of delegation, that is, the ability for a peer to communicate a program to another peer. We present results of a user study, showing that users can write WebdamLog programs quickly and correctly, and with a minimal amount of training. We present an implementation of the WebdamLog inference engine relying on the Bud datalog engine. We describe an experimental evaluation of the WebdamLog engine, demonstrating that WebdamLog can be implemented efficiently. We conclude with a discussion of ongoing and future work.