Elena Moltchanova
Guest Senior Research Scholar
Novel Data Ecosystems for Sustainability Research Group
Advancing Systems Analysis Program
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
Obersteiner, M. , Balkovic, J. , Böttcher, H., Bouma, J., Fritz, S. , Fuss, S., Havlik, P. , Heumesser, C., Hochrainer-Stigler, S., Jantke, K., Khabarov, N. , Koch, B., Kraxner, F., Kuik, O.J., Leduc, S., Liu, J., Lucht, W., McCallum, I. , Mechler, R. , Moltchanova, E., Reyers, B., Rydzak, F., Schill, C., Schleupner, C., Schmid, E., Schneider, U.A., Scholes, R., See, L. , Skalsky, Ra. , Smirnov, A. , Szolgayova, J., Tarasovičová, Z., & Yang, H. (2017). The Value of Global Earth Observations. In: Satellite Earth Observations and Their Impact on Society and Policy. Eds. Onoda, M. & Young, O.R., pp. 137-142 Singapore: Springer. ISBN 978-981-10-3713-9 10.1007/978-981-10-3713-9_12.
Folberth, C. , Skalsky, R. , Moltchanova, E., Balkovic, J. , Azevedo, L., Obersteiner, M. , & van der Velde, M. (2016). Uncertainty in soil data can outweigh climate impact signals in crop yield simulations. Nature Communications 7 art.no.11872. 10.1038/ncomms11872.
Lesiv, M. , Moltchanova, E., Schepaschenko, D. , See, L. , Shvidenko, A., & Fritz, S. (2015). Comparison of data fusion methods for generating a forest cover map. In: XIV World Forestry Congress, 7-11 September 2015, Durban, South Africa.
Fritz, S. , See, L. , McCallum, I. , Bun, A., Moltchanova, E., Dürauer, M., Perger, C., Havlik, P. , Mosnier, A., Schepaschenko, D. , van der Velde, M., Dunwoody, A., Kraxner, F., & Obersteiner, M. (2015). Mapping global cropland field size. Global Change Biology 21 (5) 1980-1992. 10.1111/gcb.12838.
Shchepashchenko, D. , See, L. , Lesiv, M. , McCallum, I. , Fritz, S. , Salk, C., Moltchanova, E., Perger, C., Shchepashchenko, M., Shvidenko, A., Kovalevskyi, S., Gilitukha, D., Albrecht, F., Kraxner, F., Bun, A., Maksyutov, S., Sokolov, A., Dürauer, M., Obersteiner, M. , Karminov, V., & Ontikov, P. (2015). Global hybrid forest mask for the year 2000. 10.5281/zenodo.5559652.