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Sibel Eker is an IIASA Postdoctoral Researcher affiliated with the Advanced Systems Analysis (ASA), Ecosystem Services and Management (ESM) and Water (WAT) programs. Her current project focus is validation of systems models used for exploring scenarios to deal with deep uncertainties. Her research interests center on the use and development of various modeling and simulation tools to deal with complex policy problems under deep uncertainty, as well as the integration of these tools into participatory research settings.
Dr. Eker obtained her PhD degree in 2016, from Delft University of Technology with a focus on dealing with uncertainties in the Dutch energy sector. Prior to joining IIASA, she worked as a postdoctoral researcher at University College London on integrated decision making in housing, energy and well being; and at Delft University of Technology on the resilience of the transport network in Bangladesh. Dr. Eker's primary experience lies in system dynamics modeling, robust decision making, multi-objective optimization, multi-criteria decision analysis and network modeling.
Last update: 07-JUL-2017
Eker S ORCID: https://orcid.org/0000-0003-2264-132X, Reese G, & Obersteiner M
ORCID: https://orcid.org/0000-0001-6981-2769 (2019). Modelling the drivers of a widespread shift to sustainable diets. In: World Resources Forum, 23-24 October 2019, Geneva, Switzerland.
Eker S ORCID: https://orcid.org/0000-0003-2264-132X, Reese G, & Obersteiner M
ORCID: https://orcid.org/0000-0001-6981-2769 (2019). Modelling the drivers of a widespread shift to sustainable diets. Nature Sustainability DOI:10.1038/s41893-019-0331-1.
Eker S ORCID: https://orcid.org/0000-0003-2264-132X, Rovenskaya E, Langan S
ORCID: https://orcid.org/0000-0003-0742-3658, & Obersteiner M
ORCID: https://orcid.org/0000-0001-6981-2769 (2019). Model validation: A bibliometric analysis of the literature. Environmental Modelling & Software 117: 43-54. DOI:10.1016/j.envsoft.2019.03.009.
Eker S ORCID: https://orcid.org/0000-0003-2264-132X, Reese G, & Obersteiner M
ORCID: https://orcid.org/0000-0001-6981-2769 (2019). A widespread shift to sustainable diets requires rapid risk perception. In: Global Sustainable Development Goals in a Mediatized World, 4-5 April 2019, Vienna, Austria.
Eker S ORCID: https://orcid.org/0000-0003-2264-132X, Rovenskaya E, Obersteiner M
ORCID: https://orcid.org/0000-0001-6981-2769, & Langan S
ORCID: https://orcid.org/0000-0003-0742-3658 (2019). Validation of models used for scenario generation. In: Scenarios Forum, March 2019, Denver, Colorado.
Eker S ORCID: https://orcid.org/0000-0003-2264-132X, Rovenskaya E, Obersteiner M
ORCID: https://orcid.org/0000-0001-6981-2769, & Langan S
ORCID: https://orcid.org/0000-0003-0742-3658 (2018). Practice and perspectives in the validation of resource management models. Nature Communications 9 (1): e5359. DOI:10.1038/s41467-018-07811-9.
Eker S ORCID: https://orcid.org/0000-0003-2264-132X, Reese G, Obersteiner M
ORCID: https://orcid.org/0000-0001-6981-2769, & Gao L (2018). Investigating global diet change dynamics by linking models of human behavior to IAMs. In: . The 11th Annual Meeting of the Integrated Assessment Modeling Consortium, 13-15 November 2018, Seville, Spain.
Eker S ORCID: https://orcid.org/0000-0003-2264-132X, Rovenskaya E, Langan S
ORCID: https://orcid.org/0000-0003-0742-3658, & Obersteiner M
ORCID: https://orcid.org/0000-0001-6981-2769 (2018). A bibliometric analysis of the model validation literature. In: . The 11th Annual Meeting of the Integrated Assessment Modeling Consortium, 13-15 November 2018, Seville, Spain.
Eker S ORCID: https://orcid.org/0000-0003-2264-132X, Reese G, & Obersteiner M
ORCID: https://orcid.org/0000-0001-6981-2769 (2018). Meat or not? - A model-based analysis of the global diet change dynamics. In: 36th International Conference of the System Dynamics Society, 6-10 August 2018, Reykjavík, Iceland.
Eker S ORCID: https://orcid.org/0000-0003-2264-132X & Kwakkel JH (2018). Including robustness considerations in the search phase of Many-Objective Robust Decision Making. Environmental Modelling & Software 105: 201-216. DOI:10.1016/j.envsoft.2018.03.029.
Eker S ORCID: https://orcid.org/0000-0003-2264-132X, Rovenskaya E, Obersteiner M
ORCID: https://orcid.org/0000-0001-6981-2769, & Langan S
ORCID: https://orcid.org/0000-0003-0742-3658 (2018). Validation of uncertainty-oriented environmental models: A review of the existing approaches. In: European Geosciences Union General Assembly 2018, 9-13 April 2018, Vienna, Austria.
Eker S ORCID: https://orcid.org/0000-0003-2264-132X, Rovenskaya E, Obersteiner M
ORCID: https://orcid.org/0000-0001-6981-2769, & Langan S
ORCID: https://orcid.org/0000-0003-0742-3658 (2017). Validation of uncertainty-oriented environmental models: A review of the existing approaches. In: Annual Workshop of the Society for Decision Making under Deep Uncertainty 2017, 13-15 November, Oxford, UK.
Eker S ORCID: https://orcid.org/0000-0003-2264-132X, van Daalen E, & Thissen W (2017). Incorporating stakeholder perspectives into model-based scenarios: Exploring the futures of the Dutch gas sector. Futures 93: 27-43. DOI:10.1016/j.futures.2017.08.002.
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