My scholarship sits at the intersection of data science, participatory action research, and feminist Science and Technology Studies. I employ a variety of ecoinformatic tools to understand and improve the sustainability of complex social-ecological systems. I also apply feminist STS lenses to my modeling processes to see potential ways to make knowledge more accurate and impactful and social-ecological system management more just. I work collaboratively with communities: teaching mapping and modeling skills, collaboratively building data representations and models, and analyzing and synthesizing community-held data as appropriate. I use contextualized mixed and integrative methods to create space for qualitative and other forms of knowledge to reside alongside quantitative analysis.