Elena Rovenskaya
Program Director and Principal Research Scholar
Advancing Systems Analysis Program
Biography
Elena Rovenskaya is the IIASA Advancing Systems Analysis (ASA) Program Director. She is also a research scholar at the Optimal Control Department of the Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, Russia (on-leave). Her scientific interests lie in the fields of optimization, decision science, and mathematical modeling of complex socio-environmental systems.Dr. Rovenskaya graduated in 2003 from the Faculty of Physics, Lomonosov Moscow State University, Russia. She received her PhD in 2006 at the Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, Russia. In her PhD dissertation, Dr. Rovenskaya developed a new numerical method for solving a broad class of non-convex optimization problems.
In 2005, Dr. Rovenskaya participated in the IIASA Young Scientists Summer Program (YSSP). She continued to collaborate with the former Dynamic Systems (DYN) Program from 2006 to 2010, and later, from 2011 to 2012 with its successor, the Advanced Systems Analysis (ASA) Program at IIASA. From 2013 to 2020, Dr. Rovenskaya served as ASA Program Director and from 2019 to 2020, she was also appointed in the capacity of Acting IIASA Evolution and Ecology Program Director.
Dr. Rovenskaya was appointed Advancing Systems Analysis (ASA) Program Director from January 2021 as the institute moved to a new program structure. Currently, the new ASA Program includes 85+ scientists and aims to identify, develop, and deploy new systems-analytical methods, tools, and data that address the most pressing global sustainability challenges with greater agility, and help find solutions to those challenges that are both realistic and appropriate.
Last update: 21 MAY 2021
Publications
Strelkovskii, N. , Rovenskaya, E. , Ilmola-Sheppard, L., Bartmann, R., Rein-Sapir, Y., & Feitelson, E. (2022). Implications of COVID-19 Mitigation Policies for National Well-Being: A Systems Perspective. Sustainability 14 (1) p. 433. 10.3390/su14010433.
Ermoliev, Y., Zagorodny, A.G., Bogdanov, V. L., Ermolieva, T., Havlik, P. , Rovenskaya, E. , Komendantova, N. , & Obersteiner, M. (2022). Robust Food–Energy–Water–Environmental Security Management: Stochastic Quasigradient Procedure for Linkage of Distributed Optimization Models under Asymmetric Information and Uncertainty. Cybernetics and Systems Analysis 58 (1) 45-57. 10.1007/s10559-022-00434-5.
Ermoliev, Y., Zagorodny, A.G., Bogdanov, V.L., Ermolieva, T., Havlik, P. , Rovenskaya, E. , Komendantova, N. , & Obersteiner, M. (2022). Linking Distributed Optimization Models for Food, Water, and Energy Security Nexus Management. Sustainability 14 (3) e1255. 10.3390/su14031255.
Rovenskaya, E. (2022). Allocating Scarce Resources: Modeling to Support Food-Energy-Water Sustainability. In: Mathematics For Action: Supporting Science-Based Decision-Making. Eds. Dhersin, J.-S., Kaper, H., Ndifon, W., Roberts, F., Rousseau, C., & Ziegler, G.M., pp. 29-30 Paris, France: UNESCO. ISBN 978-92-3-100517-6
OSCE, (2022). Developing a positive climate for business and investment: A Best Practice Guide. OSCE , Vienna.