Explaining collaboration between actors involved in policy processes is crucial for understanding these and their outcomes. The science literature has advanced several hypotheses explicating what enables or hinders collaboration. However, only a handful of studies compare factors across different contexts. This paper investigates the role beliefs influence shaping under conditions high low conf...

Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assumes that the data are generated by a stationary process. However, there are interesting and important circumstances where that assumption will not hold and potential non-stationarity cannot be ignored. Here we introduce a new cl...