Elena Moltchanova
Guest Senior Research Scholar
Novel Data Ecosystems for Sustainability Research Group
Advancing Systems Analysis Program
Contact
Biography
Elena Moltchanova first came to IIASA in 2001 as a participant of the Young Scientists Summer Program where she wrote a paper on image restoration from multiple sources, which was awarded the Michailevich Scholarship. She rejoined IIASA's Ecosystems Services and Management Program (ESM) in July 2014, where her current research tasks include spatio-temporal modeling, numerical simulation methods, Bayesian methods and natural disaster modeling. She is proficient in a wide range of statistical software and programming languages.Dr. Moltchanova graduated from the Department of Statistics of the Faculty of Social Sciences at the University of Helsinki, Finland in 2000 where she completed her MSc thesis on modeling a mixture of ordinal treatment response and natural response applying a Bayesian approach. She received her PhD from the University of Jyvaskyla, Finland in 2005 for her thesis on applications of spatial statistics in epidemiology.
Dr. Moltchanova has worked as a lecturer in mathematics in the University of Helsinki, and as a researcher and statistical consultant at the National Public Health Institute of Finland. She also has a long history of collaboration with IIASA including EU projects such as INSEA and GEOBENE. Since 2011, she has headed the Statistical Consulting Unit at the University of Canterbury in Christchurch, New Zealand. She has published over 50 papers on a variety of topics, including epidemiology of chronic diseases, modeling of extreme and catastrophic events, and forest ecology.
Last update: 01 AUG 2014
Publications
McCallum, I. , Franklin, O. , Moltchanova, E., Merbold, L., Schmullius, C., Shvidenko, A., Schepaschenko, D. , & Fritz, S. (2013). Improved light and temperature responses for light-use-efficiency-based GPP models. Biogeosciences 10 (10) 6577-6590. 10.5194/bg-10-6577-2013.
Franklin, O. , Moltchanova, E., Kraxner, F., Seidl, R., Bottcher, H., Rokityiansky, D., & Obersteiner, M. (2012). Large-scale forest modeling: Deducing stand density from inventory data. International Journal of Forestry Research 934974 10.1155/2012/934974.
Moltchanova, E., Khabarov, N. , Obersteiner, M. , Ehrlich, D., & Moula, M. (2011). The value of rapid damage assessment for efficient earthquake response. Safety Science 49 (8) 1164-1171. 10.1016/j.ssci.2011.03.008.
Khabarov, N. , Moltchanova, E., & Obersteiner, M. (2009). Value of weather observations for reduction of forest fire impact on population. In: Proceedings from the 33rd International Symposium on Remote Sensing of Environment (ISRSE-33) "Sustaining the Millennium Development Goals", 4-8 May 2009.
Khabarov, N. , Moltchanova, E., & Obersteiner, M. (2008). Valuing weather observation systems for forest fire management. IEEE Systems Journal (J-SYS) 2 (3) 349-357. 10.1109/JSYST.2008.925979.