Dan Runfola is an associate professor of Applied Science and Data Science at William & Mary.  His core expertise is in the applied use of machine learning to analyze satellite data to better understand environmental impacts around the world. In addition to over 40 peer reviewed academic publications in high profile outlets including Nature, Dan has published numerous reports with the U.S. Army Corps of Engineers, UN FAO, Global Environment Facility, and as a contributor to the Intergovernmental Panel on Climate Change.   

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Luisa Belli is a tropical agronomist with a background in rural sociology and field experience in Africa, Asia and Latin America. She has been working on independent evaluations at the FAO Office of Evaluation (OED) since 2005. From 2014 to 2018, she served as coordinator of project evaluations, including the Global Environment Facility and Green Climate Fund portfolios. During that time she approached the use of geospatial analysis in combination with independent land use-related evaluations. Since 2019 she has been conducting strategic evaluations and is currently responsible for environmental evaluations at OED.

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Ana Paula DE LA O CAMPOS is originally from Mexico. She is a development economist currently working in FAO's Agrifood Economics Division, member of FAO's Impact Evaluation Task Force, and coordinating FAO's Technical Network on Poverty Analysis. She has 20 years of experience in international development, poverty reduction strategies, microeconomic analysis and impact evaluation. She holds a master's in international development economics from American University in Washington D.C., USA, and currently pursuing her PhD in Development Economics at Wageningen University, in the Netherlands.

Solène Masson holds a PhD in economics and is a geospatial impact evaluation specialist. She is passionate about innovative methodologies, and her research interests are mainly related to data management and data visualization (GIS, satellite imagery, and micro socio-economic data). She works on quantitative analyses with a large range of topics dealing with environmental impacts, agriculture, food security, climate change and the rural population.

Antonio Scognamillo Ph.D. is an Economist at the Economic and Policy Analysis of Climate Change (EPIC) programme of the Food and Agriculture Organization of the United Nations (FAO). He leads a wide range of macro and micro-analyses on climate vulnerability and adaptation, agricultural economics, inequality, poverty, food security and resilience. Antonio's expertise includes the design and implementation of survey instruments as well as experimental and quasi-experimental impact evaluations. His research has been published in international peer-reviewed journals, including World Development, Food Policy, Environment and Development Economics, Empirical Economics, among others.