Tyler's research focuses on institutional design and management strategies for improving environmental governance in complex institutional settings. A primary component of this work involves the use of inferential network analysis methods for understanding network governance processes and stakeholder coordination. Scott also uses computational methods such as automated text analysis to generate novel data from procedural documents and agent-based modeling to simulate policy system behavior. Scott's work has been published in outlets such as the Journal of Public Administration Research and Theory, Urban Studies, and the Journal of Policy Analysis and Management. Current topics of interest include the resilience of community water systems and other local utilities, decision-making for infrastructure siting and design tradeoffs, the environmental and social impacts of metropolitan districts and other local special purpose government entities, and the role of stakeholder input and scientific evidence in NEPA environmental review processes.