Martin Hofer
Researcher
Novel Data Ecosystems for Sustainability Research Group
Advancing Systems Analysis Program
Biography
Martin Hofer joined the Novel Data Ecosystems for Sustainability (NODES) Research Group of the IIASA Advancing Systems Analysis (ASA) Program in May 2021 as a research scholar. His current research focuses on combining remote sensing, machine learning, and classical statistical methods to monitor societal, economic, and environmental change – particularly in rural areas and agriculture. His current project focuses on the needs and vulnerabilities of rural areas in the EU.He holds a master’s degree in economics from the Vienna University of Economics and Business in Austria and is finishing his PhD studies at the same university. His thesis focuses on the use of remote sensing in poverty measurements.
Last update: 06 APR 2023
Publications
McCallum, I. , Kyba, C.C.M., Laso Bayas, J.C. , Moltchanova, E., Cooper, M., Crespo Cuaresma, J., Pachauri, S. , See, L. , Danylo, O., Moorthy, I., Lesiv, M. , Baugh, K., Elvidge, C.D., Hofer, M. , & Fritz, S. (2022). Estimating global economic well-being with unlit settlements. Nature Communications 13 e2459. 10.1038/s41467-022-30099-9.
Laso Bayas, J.C. , Hofer, M. , McCallum, I. , Bodner, G., Lamare, M., Danylo, O., Maus, V. , Luger, D., See, L. , & Fritz, S. (2022). Remote sensing detection of climate-smart practices: Enhancing farm resilience in Austria. In: EGU General Assembly 2022, 23-27 May 2022, Vienna.