Mimi.jl is an open-source computational platform for integrated assessment modeling, a key tool in assessing coupled human-natural systems to evaluate the economic impacts of future climate change used widely in policy analysis, including recent work for the US government. This is an important step in enabling research and collaboration between academic research groups and with policy-making communities. Mimi also serves as a case study for developing tools and languages to support work by domain-specific communities that do not necessarily possess formal computer science training. In this talk I will first present the Mimi framework and the research-policy nexus at which it sits. Second I will present our recent study which employed observations and semi-structured interviews to (1) direct observe domain experts’ user experience with a climate change economics embedded domain-specific language (eDSL) (2) examine the impact of eDSL design and implementation decision son user experience and (3) suggest design considerations for future eDSLs.