*Names in bold indicate Presenter
According to an Institutional Collective Action (ICA) perspective, collaborative policy making institutions can reduce fragmentation—and enhance learning outcomes—by lowering the transaction costs of collaboration across these critical boundaries. On the other hand, the Advocacy Coalition Framework (ACF) argues that ideological conflict is a primary barrier to learning, and in most situations collaborative institutions are unlikely to manage these conflicts due to deep cognitive biases that prevent actors from separating technical debates from ideological or value-oriented conflicts.
These hypotheses are tested in the context of transportation and land use planning across five California regions, each of which has experimented with an innovative collaborative process meant to promote collaboration and policy learning. Regression analysis and exponential random graph (ERG) models are used to examine the extent to which network positions influence perceptions of learning, and whether collaborative institutions appear to change the structural features of policy networks in these regions. Results underscore the importance of non-hierarchical information exchange relationships in promoting learning within complex issue domains, although the results also suggest that persistent ideological conflict is an important barrier to learning even within collaborative processes.