There is a need to fully understand green stormwater infrastructure (GSI) dynamics to make the necessary investments to address the impaired 600,000 miles of streams and rivers and 13 million acres of reservoirs, lakes, and ponds across the US. However, it is inherently difficult to capture these dynamics especially since GSI is a decentralized, complex, sociotechnical infrastructure system requiring the input of several different stakeholder groups for its design, construction, and maintenance. The goal of this project is to show the preliminary work for mapping engineering planning and management interactions for green stormwater infrastructure in a sociotechnical network (STN). Specifically, this work outlines the progress of the background and methodology for creating this STN. A sociotechnical network (STN) is composed of social actors and technical elements represented as nodes. It is also a quantitative network representation of the nodes and their multiple interrelationships. The expected results include the capture of the interactions between social actors (e.g., planners, engineers, and contractors) and technical elements (e.g., infrastructure performance, maintenance, and costs) to inform integrated planning and management strategies. This will ultimately lead to explicitly defining the relationships between social actors and technical aspects for GSI to uncover, deeply understand, and provide strategies to optimize the system dynamics of GSI planning and engineering.