Tatiana Ermolieva profile picture

Tatiana Ermolieva

Research Scholar

Cooperation and Transformative Governance Research Group

Advancing Systems Analysis

Research Scholar

Integrated Biosphere Futures Research Group

Biodiversity and Natural Resources

Biography

Dr. Tatiana Ermolieva is a Research Scholar with IIASA’s Ecosystems Services & Management Program (ESM). She holds the Kjell Gunnarson's Risk Management Prize (Swedish Insurance Society) and an IIASA Peccei Award for her work on optimal decisions for coping with dependent catastrophic risks.

Dr. Ermolieva has a master's degree in applied mathematics with specialization in statistics, optimization, and economics from Kiev State University, Ukraine, and a PhD on spatio-temporal estimation and optimization of heterogeneous values and flows in complex dynamic and stochastic systems. Her main research interests are analysis and modeling of complex socioeconomic, agricultural, environmental, and financial systems with explicit treatment of uncertainties, risks, extreme events, and spatial and temporal heterogeneities of regions and agents. She develops quantitative models and methods, including software and practical applications, for designing strategies ensuring robust system performance in the presence of uncertainties and risks, in particular of extreme catastrophic nature.

Dr. Ermolieva's activities with ESM concern GIS-based modeling and optimization of regional developments, methodologies for robust downscaling of land use (including agricultural) valuesfrom incomplete, uncertain, aggregate information; non-parametric approaches to data estimation and recovering. Recent practical studies cover topics of global food security and adaptation under climatic uncertainties and risks; fusion of downscaling within the framework of ESM's GLOBIOM model; treatment of systemic risks with a stochastic version of GLOBIOM; design of robust insurance programs (including cat bonds, contingent credits, mutual funds) against climatic disasters, e.g., floods; analysis of robust economic instruments (emission trading markets) under uncertainties; and discounting under catastrophic risks. She applies her skills in several EU projects, in collaborative research with colleagues from various IIASA programs, joint research with IIASA NMOs and other institutions.


Last update: 26 APR 2016

Publications

Wildemeersch, M. , Ermolieva, T., Ermoliev, T., & Obersteiner, M. (2019). An integrated environmental-economic model for robust pollution control under uncertainty. In: Integrated modeling”: the case of the food-water-energy-environmental NEXUS management under uncertainty and risk, 26-27 November 2019, Brussels.

Ortiz-Partida, J.P., Kahil, T. , Ermolieva, T., Ermoliev, Y., Lane, B., Sandoval-Solis, S., & Wada, Y. (2019). A Two-Stage Stochastic Optimization for Robust Operation of Multipurpose Reservoirs. Water Resources Management 33 (11) 3815-3830. 10.1007/s11269-019-02337-1.

Nascimento, A., Rovenskaya, E. , Ermolieva, T., & Hunt, J. (2019). Pollution optimization by means of “N load permit” trade along Farming activities: a new approach aiming sustainability. In: Global Sustainable Development Goals in a Mediatized World, 4-5 April 2019, Vienna, Austria.

Gorbachuk, V.M., Ermoliev, Y., Ermolieva, T., & Dunajevskij, M.S. (2019). Quantile-based regression for the assessment of economic and ecological risks. In: Proceedings of the 5th International scientific conference on Computational Intelligence, 15-20 April, 2019. pp. 188-190 Uzgorod, Ukraine: Ministry of Education and Science of Ukraine.