Stephanie Spera's research seeks to understand landscape-level human-environment feedbacks with regard to social, economic, and environmental drivers and consequences. She analyzes large datasets, develops algorithms, and integrates spatial data to characterize landscapes and landscape-scale dynamics. Her skillset includes a strong foundation in environmental sciences, but she integrates tools and methods from other disciplines to understand how we can best manage our landscapes. Her interdisciplinary training and methodologies allow her to speak across traditional disciplinary lines and focus work on different ecosystems. She collaborates with ecologists, climate scientists, sociologists, and economists to analyze the regional socioeconomic drivers and environmental consequences of land-use change. Her research tackles pressing environmental issues and generates robust scientific results that inform policy.