Searched for: subject%3A%22Deep%255C%2Buncertainty%22
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Jhatakia, Maanav (author)
As the impact of climate change becomes increasingly urgent, conflicts over transboundary water resources have become more complex, particularly in light of the role of water in shaping socioeconomic and regional power dynamics. The challenge of optimizing objectives and strategic behavior across multiple stakeholders simultaneously makes it...
master thesis 2023
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Tunca, Kerem (author)
This research has illustrated the abilities of incorporating robust decision making within train maintenance. Both scheduled and unscheduled maintenance processes of the Nederlandse Spoorwegen (NS) have been examined, after which exploratory modeling and analysis enabled developing valuable insights for decision makers. Scenario analysis through...
master thesis 2023
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Ammoun, Mohammed (author)
Because of the potential consequences of sea level rise, decision-making to set adaptive strategies to handle the uncertainty over these consequences is required. There are several decision-making methods to deal with deep uncertainty and attempt to contain the impacts of sea level rise in organized response as the future unfolds. These methods...
master thesis 2023
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Reddel, Max (author)
Humanity faces the unprecedented global challenge of climate change. The sheer complexity and uncertainty of this problem renders mere intuitive reasoning insufficient. To aid global climate negotiations, Integrated Assessment Models (IAMs) are used to analyze the interplay between climate and the economy. More specifically, IAMs account for how...
master thesis 2022
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Reddel, Felicitas (author)
Misinformation on social media is an urgent grand challenge. Misinformation has caused excess deaths because people abstain from getting vaccinated and other evidence-based prevention behaviors. Misinformation also influences various other important topics such as climate change. And it has the potential to influence countless other areas. In...
master thesis 2022
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Scholte, Mirre (author), Marchau, V.A.W.J. (author), Kwakkel, J.H. (author), Klijn, Catharina J.M. (author), Rovers, Maroeska M. (author), Grutters, Janneke P.C. (author)
Objectives: In early stages, the consequences of innovations are often unknown or deeply uncertain, which complicates early health economic modeling (EHEM). The field of decision making under deep uncertainty uses exploratory modeling (EM) in situations when the system model, input probabilities/distributions, and consequences are unknown or...
journal article 2022
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Smit, Jordi (author)
Offline reinforcement learning, or learning from a fixed data set, is an attractive alternative to online reinforcement learning. Offline reinforcement learning promises to address the cost and safety implications of taking numerous random or bad actions online, which is a crucial aspect of traditional reinforcement learning that makes it...
master thesis 2021
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ten Boske, Lisette (author)
In the future, the energy supply will primarily consist of energy from renewables, which makes energy producers and grid operators fear that grid security and reliability could be threatened. On top of a more fluctuating supply, energy demand is also expected to increase in the coming years, especially if heating will be electrical when gas is...
master thesis 2021
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Tjallingii, Ivar (author)
Integrated Assessment Models (IAMs) are widely used tools for estimating climate change's impacts on the socio-economic system. However, IAMs possess a limited ability to represent the impact on vulnerable populations. Influential IAMs use highly aggregated outcomes masking significant relative differences in impacts across heterogeneous...
master thesis 2021
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van der Scheer, Fuuk (author)
During the battle against COVID-19, sudden-onset disasters keep happening. These two consecutive events are different in nature and sometimes ask for counter-productive policy interventions: where the epidemic can be contained by ensuring social distancing practices, reducing the number of contacts, and offering hygienic conditions, the response...
master thesis 2021
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Jafino, B.A. (author), Kwakkel, J.H. (author)
To support equitable planning, model-based analyses can be used to explore inequality patterns arising from different scenarios. Scenario discovery is increasingly used to extract insights from ensembles of simulation. Here, we apply two scenario discovery approaches for unraveling inequality patterns and their drivers, with an application to...
journal article 2021
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Shavazipour, Babooshka (author), Kwakkel, J.H. (author), Miettinen, Kaisa (author)
This paper proposes a novel optimization approach for multi-scenario multi-objective robust decision making, as well as an alternative way for scenario discovery and identifying vulnerable scenarios even before any solution generation. To demonstrate and test the novel approach, we use the classic shallow lake problem. We compare the results...
journal article 2021
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Savvidis, Giagkos (author)
Objective: Static long-term decision-making processes for road assets adaptation on the dynamic effects of climate change seem to be ineffective because the proposed proactive measures might not address the actual climate at the fixed date the decision-maker imposes them to be implemented but by giving a time range of expected implementation in...
master thesis 2020
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van Droffelaar, I.S. (author)
The use of scenario planning has a long history in decision-making and public policy (Bryant and Lempert, 2010). Traditional scenario planning, as, for example, used by the Shell Scenarios group, provides tools to communicate and characterize uncertainty,allowing decision-makers to anticipate the future and create more robust strategies ...
master thesis 2020
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Drent, Alexander (author)
Our contemporary society consists of increasingly complex systems-of-systems in which technical and social subsystems influence each other. Multi-models reflect this complexity and are useful to analyse these complex socio-technical systems. They consist of connected simulation models which may each have their focus on a subsystem or modelling...
master thesis 2020
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Luger, Christianne (author)
The Climate Risk Informed Decision Analysis (CRIDA) framework incorporates the uncertainties of climate change that impact project planning, socioeconomic justification, and engineering design into a step-wise and collaborative planning process to guide a technical analyst to low-regret risk- and cost-effective solutions; Research has been...
master thesis 2020
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Calon, Rob (author)
Motivations for sustainability are initiating an energy transition that is changing the European energy domain. The transition effectuated the adaptation of large volumes of wind and solar based generation capacity. The intermittent power-output of these Variable Renewable Energy Sources challenges the balancing operation of the electricity...
master thesis 2020
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Bartholomew, Erin (author), Kwakkel, J.H. (author)
In recent years, a family of approaches has emerged for supporting decision-making on complex environmental problems characterized by deep uncertainties and competing priorities. Many-Objective Robust Decision Making (MORDM), Multi-scenario MORDM and. Many-Objective Robust Optimization (MORO) differ with respect to the degree to which...
journal article 2020
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McPhail, C. (author), Maier, H. R. (author), Westra, S. (author), Kwakkel, J.H. (author), van der Linden, L. (author)
Multiple plausible future scenarios are being used increasingly in preference to a single deterministic or probabilistic prediction of the future in the long-term planning of water resources systems. These scenarios enable the determination of the robustness of a system—the consideration of performance across a range of plausible futures—and...
journal article 2020
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Timmermans, Jos (author), van Druten, Emiel (author), Wauben, Marcel (author), Kwakkel, J.H. (author)
In designing and retrofitting infrastructure systems, engineers are increasingly confronted by uncertainties about the future operating conditions of these systems, stemming from climate change or rapid socio-economic development. Particularly for long-lived capital-intensive infrastructure components like pumping stations, current...
journal article 2020
Searched for: subject%3A%22Deep%255C%2Buncertainty%22
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