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Facts visualization for environmental decision-making: how sensitive are we?
You will conduct a full experiment, from design to results. It aims at informing the public on unfamiliar environmental topics, and developing attractive online surveys to collect their preferences. Your work helps to establish good practices for online surveys and decision analysis.
You will conduct a full experiment, from its design to results reporting. This includes the interactive phase of data collection, as our experiments are usually done with students or real stakeholders.
Part of our applied research at the Decision Analysis Cluster at Eawag is to include the public into complex environmental decision-making. This requires (1) informing the public about a priori unfamiliar topics, and (2) developing attractive online surveys to collect their preferences. We need to understand what is important for the public, i.e. how they are willing to make trade-offs between objectives, say “decrease costs” and “increase water quality”.
Online surveys for such value-focused decision analysis are starting to appear. Good practices for such surveys still need to be defined. This is especially important, as results from other research fields suggest that humans are easily biased. The visualization of information can influence our judgements.
You will conduct a full experiment, from its design to results reporting. This includes the interactive phase of data collection, as our experiments are usually done with students or real stakeholders.
Part of our applied research at the Decision Analysis Cluster at Eawag is to include the public into complex environmental decision-making. This requires (1) informing the public about a priori unfamiliar topics, and (2) developing attractive online surveys to collect their preferences. We need to understand what is important for the public, i.e. how they are willing to make trade-offs between objectives, say “decrease costs” and “increase water quality”.
Online surveys for such value-focused decision analysis are starting to appear. Good practices for such surveys still need to be defined. This is especially important, as results from other research fields suggest that humans are easily biased. The visualization of information can influence our judgements.
The aim of the master thesis is to investigate how much the way the information is presented influences the construction of preference. It will contribute to defining best practices in the field.
If you are interested in decision-making processes, from the factual to the societal/ individual aspects, and would like to carry out a research project from planning to data analysis and reporting, please contact us.
The aim of the master thesis is to investigate how much the way the information is presented influences the construction of preference. It will contribute to defining best practices in the field. If you are interested in decision-making processes, from the factual to the societal/ individual aspects, and would like to carry out a research project from planning to data analysis and reporting, please contact us.
The Decision Analysis cluster at Eawag provides a stimulating and supporting working environment.
The work is carried out in the project of Dr. Alice Aubert "Environmental Decision Analysis with Games - Edanaga". https://www.eawag.ch/en/department/ess/projects/edanaga/
You will be embedded in two research projects on decision science applied to urban water management at Eawag. https://www.eawag.ch/en/department/ess/main-focus/decision-analysis-da/
Supervisors:
- Dr. Alice Aubert (alice.aubert@eawag.ch
- Dr. Judit Lienert (judit.lienert@eawag.ch)
The Decision Analysis cluster at Eawag provides a stimulating and supporting working environment.
The work is carried out in the project of Dr. Alice Aubert "Environmental Decision Analysis with Games - Edanaga". https://www.eawag.ch/en/department/ess/projects/edanaga/ You will be embedded in two research projects on decision science applied to urban water management at Eawag. https://www.eawag.ch/en/department/ess/main-focus/decision-analysis-da/
Supervisors: - Dr. Alice Aubert (alice.aubert@eawag.ch - Dr. Judit Lienert (judit.lienert@eawag.ch)