Searched for: subject%3A%22Deep%255C+Uncertainty%22
(1 - 20 of 73)

Pages

document
Smits, Xander (author)
Infrastructure is at risk to climate uncertainty due to a combination of long life spans, complexity of the systems it is embedded in, and the high investment costs often necessary. Current infrastructure planning approaches lose efficacy under deep uncertainty, necessitating new approaches that function better under conditions where the future...
master thesis 2024
document
Brouwer, Annemieke (author)
Responding rapidly to epidemic outbreaks presents significant challenges, due to resource, capacity and time limitations. Anticipatory Action (AA) is a newly emerging strategy in the field of humanitarian aid, designed to preemptively address potential crises. By taking impact-reducing actions before a disaster strikes, AA seeks to minimize...
master thesis 2024
document
Żurawska, Paulina (author)
Serious Games can be used for many purposes, including studying complex, socio-technical systems. They are claimed to provide new opportunities by bringing different knowledge and fields of expertise to the table. Combined with simulations that allow for observation of the evolving infrastructure under deeply uncertain conditions, they have the...
master thesis 2023
document
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
document
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
document
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
document
Mannucci, Simona (author), Kwakkel, J.H. (author), Morganti, Michele (author), Ferrero, Marco (author)
Cities play a critical role in developing adaptable strategies to address the challenges posed by climate change. However, the inherent complexity of urban environments and their uncertain future conditions necessitate exploring innovative approaches and tools to assist the current planning practices. This paper presents a workflow rooted in...
journal article 2023
document
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
document
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
document
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
document
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
document
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
document
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
document
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
document
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
document
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
document
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
document
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
document
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
document
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
Searched for: subject%3A%22Deep%255C+Uncertainty%22
(1 - 20 of 73)

Pages