Ella Kirchner

Ella Kirchner is a Research Associate in the Department of Agricultural and Applied Economics at Virginia Tech, specializing in the integration of earth observation and crop modeling for agricultural financing solutions. Affiliated with NASA Harvest, she advances remote sensing applications for global food security and agricultural resilience through international collaborations.

Her educational credentials include:

• M.Sc. in Bioeconomy from the University of Hohenheim (2021)
• M.Sc. in Agricultural Economics from the University of Hohenheim (2021)
• B.A. in Business Administration from Berlin School of Economics and Law (2017)

Kirchner's research examines socioeconomic dimensions of agricultural index insurance, with fieldwork in Mali analyzing adoption dynamics, gender norms, and mobile-delivered insurance systems. Her technical work focuses on index design using remote sensing data to improve insurance accuracy for smallholder farmers, bridging development economics with precision agriculture.

Recent publications (2023-2024) reveal three dominant research trajectories: conflict-affected agricultural systems (land use under terrorism), digital innovation in microinsurance delivery, and spatial optimization of insurance zones. These studies employ mixed methods including discrete choice experiments, geospatial analysis, and replication studies across West Africa.

Her contributions have been recognized with:

• Best Ph.D. presentation award at the AES annual conference, UK (2023)
• Graduate Student award for best master's degree, University of Hohenheim (2022)

Kirchner's advisory capacity includes World Bank consultancy (2021-2024) on agricultural risk financing and research leadership at Göttingen University. Current projects with NASA Harvest develop data-driven frameworks for responsive social protection programs, supported by international research grants focusing on climate resilience.

As a core NASA Harvest collaborator, she coordinates cross-institutional teams spanning USDA, universities, and global development agencies to operationalize satellite data for real-time agricultural decision support systems.