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	<id>https://myriad-staging.bgs.ac.uk/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=JuliusSchlumberger</id>
	<title>Disaster Risk Gateway - User contributions [en]</title>
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	<updated>2026-04-16T22:28:35Z</updated>
	<subtitle>User contributions</subtitle>
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	<entry>
		<id>https://myriad-staging.bgs.ac.uk/index.php?title=Waas-MR&amp;diff=2919</id>
		<title>Waas-MR</title>
		<link rel="alternate" type="text/html" href="https://myriad-staging.bgs.ac.uk/index.php?title=Waas-MR&amp;diff=2919"/>
		<updated>2025-04-09T13:31:27Z</updated>

		<summary type="html">&lt;p&gt;JuliusSchlumberger: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{MHRM&lt;br /&gt;
|Publication Year=2024&lt;br /&gt;
|Access=Open&lt;br /&gt;
|Link=https://doi.org/10.1029/2023EF004288&lt;br /&gt;
|Author(s)=Julius Schlumberger&lt;br /&gt;
|Organisation(s)=Deltares&lt;br /&gt;
|Description=Waas-MR is a synthetic multi-risk test case developed to explore the effects of interacting climate hazards and sectoral dependencies on Disaster Risk Management (DRM) decision-making under deep uncertainty. Building on the original “Waas” case, Waas-MR incorporates dynamic interactions between floods and droughts and across sectors - specifically agriculture, shipping, and urban housing. It integrates multiple types of hazard interactions (e.g., droughts amplifying flood impacts, shifting risk perceptions over time) and models how these influence sectoral vulnerabilities and the uptake of DRM measures over a 100-year time horizon.&lt;br /&gt;
&lt;br /&gt;
The test case applies the DAPP-MR framework to evaluate sequences of DRM measures (i.e., pathways), highlighting how complex interactions can produce non-linear effects and cross-sectoral feedbacks. Conceptualized using the DPSIR framework, Waas-MR helps decision-makers identify which dependencies significantly affect system dynamics and strategy outcomes. It serves as a controlled environment to test the utility of staged, integrative DRM approaches for developing adaptive, cost-effective strategies in complex multi-risk contexts.&lt;br /&gt;
|Technical Considerations=Python&lt;br /&gt;
|Key Words=Integrated Assessment Meta-Model, Policy Analysis, Flood, Drought&lt;br /&gt;
}}&lt;br /&gt;
[[File:WaasMR simplified.png|500px|thump|center|Simplified conceptualization of the multi-risk model of the Waas-MR case study]]&lt;/div&gt;</summary>
		<author><name>JuliusSchlumberger</name></author>
	</entry>
	<entry>
		<id>https://myriad-staging.bgs.ac.uk/index.php?title=Waas-MR&amp;diff=2918</id>
		<title>Waas-MR</title>
		<link rel="alternate" type="text/html" href="https://myriad-staging.bgs.ac.uk/index.php?title=Waas-MR&amp;diff=2918"/>
		<updated>2025-04-09T12:58:17Z</updated>

		<summary type="html">&lt;p&gt;JuliusSchlumberger: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{MHRM&lt;br /&gt;
|Publication Year=2024&lt;br /&gt;
|Access=Open&lt;br /&gt;
|Link=https://doi.org/10.1029/2023EF004288&lt;br /&gt;
|Author(s)=Julius Schlumberger&lt;br /&gt;
|Organisation(s)=Deltares&lt;br /&gt;
|Description=Waas-MR is a synthetic multi-risk test case developed to explore the effects of interacting climate hazards and sectoral dependencies on Disaster Risk Management (DRM) decision-making under deep uncertainty. Building on the original “Waas” case, Waas-MR incorporates dynamic interactions between floods and droughts and across sectors - specifically agriculture, shipping, and urban housing. It integrates multiple types of hazard interactions (e.g., droughts amplifying flood impacts, shifting risk perceptions over time) and models how these influence sectoral vulnerabilities and the uptake of DRM measures over a 100-year time horizon.&lt;br /&gt;
&lt;br /&gt;
The test case applies the DAPP-MR framework to evaluate sequences of DRM measures (i.e., pathways), highlighting how complex interactions can produce non-linear effects and cross-sectoral feedbacks. Conceptualized using the DPSIR framework, Waas-MR helps decision-makers identify which dependencies significantly affect system dynamics and strategy outcomes. It serves as a controlled environment to test the utility of staged, integrative DRM approaches for developing adaptive, cost-effective strategies in complex multi-risk contexts.&lt;br /&gt;
|Technical Considerations=Python&lt;br /&gt;
|Key Words=Integrated Assessment Meta-Model, Policy Analysis, Flood, Drought&lt;br /&gt;
}}&lt;br /&gt;
[[File:WaasMR simplified.png|200px|thump|center|Simplified conceptualization of the multi-risk model of the Waas-MR case study]]&lt;/div&gt;</summary>
		<author><name>JuliusSchlumberger</name></author>
	</entry>
	<entry>
		<id>https://myriad-staging.bgs.ac.uk/index.php?title=Waas-MR&amp;diff=2917</id>
		<title>Waas-MR</title>
		<link rel="alternate" type="text/html" href="https://myriad-staging.bgs.ac.uk/index.php?title=Waas-MR&amp;diff=2917"/>
		<updated>2025-04-09T12:57:57Z</updated>

		<summary type="html">&lt;p&gt;JuliusSchlumberger: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{MHRM&lt;br /&gt;
|Publication Year=2024&lt;br /&gt;
|Access=Open&lt;br /&gt;
|Link=https://doi.org/10.1029/2023EF004288&lt;br /&gt;
|Author(s)=Julius Schlumberger&lt;br /&gt;
|Organisation(s)=Deltares&lt;br /&gt;
|Description=Waas-MR is a synthetic multi-risk test case developed to explore the effects of interacting climate hazards and sectoral dependencies on Disaster Risk Management (DRM) decision-making under deep uncertainty. Building on the original “Waas” case, Waas-MR incorporates dynamic interactions between floods and droughts and across sectors - specifically agriculture, shipping, and urban housing. It integrates multiple types of hazard interactions (e.g., droughts amplifying flood impacts, shifting risk perceptions over time) and models how these influence sectoral vulnerabilities and the uptake of DRM measures over a 100-year time horizon.&lt;br /&gt;
&lt;br /&gt;
The test case applies the DAPP-MR framework to evaluate sequences of DRM measures (i.e., pathways), highlighting how complex interactions can produce non-linear effects and cross-sectoral feedbacks. Conceptualized using the DPSIR framework, Waas-MR helps decision-makers identify which dependencies significantly affect system dynamics and strategy outcomes. It serves as a controlled environment to test the utility of staged, integrative DRM approaches for developing adaptive, cost-effective strategies in complex multi-risk contexts.&lt;br /&gt;
|Technical Considerations=Python&lt;br /&gt;
|Key Words=Integrated Assessment Meta-Model, Policy Analysis, Flood, Drought&lt;br /&gt;
}}&lt;br /&gt;
[[File:WaasMR simplified.png|1cm|frame|center|Simplified conceptualization of the multi-risk model of the Waas-MR case study]]&lt;/div&gt;</summary>
		<author><name>JuliusSchlumberger</name></author>
	</entry>
	<entry>
		<id>https://myriad-staging.bgs.ac.uk/index.php?title=Waas-MR&amp;diff=2916</id>
		<title>Waas-MR</title>
		<link rel="alternate" type="text/html" href="https://myriad-staging.bgs.ac.uk/index.php?title=Waas-MR&amp;diff=2916"/>
		<updated>2025-04-09T12:57:40Z</updated>

		<summary type="html">&lt;p&gt;JuliusSchlumberger: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{MHRM&lt;br /&gt;
|Publication Year=2024&lt;br /&gt;
|Access=Open&lt;br /&gt;
|Link=https://doi.org/10.1029/2023EF004288&lt;br /&gt;
|Author(s)=Julius Schlumberger&lt;br /&gt;
|Organisation(s)=Deltares&lt;br /&gt;
|Description=Waas-MR is a synthetic multi-risk test case developed to explore the effects of interacting climate hazards and sectoral dependencies on Disaster Risk Management (DRM) decision-making under deep uncertainty. Building on the original “Waas” case, Waas-MR incorporates dynamic interactions between floods and droughts and across sectors - specifically agriculture, shipping, and urban housing. It integrates multiple types of hazard interactions (e.g., droughts amplifying flood impacts, shifting risk perceptions over time) and models how these influence sectoral vulnerabilities and the uptake of DRM measures over a 100-year time horizon.&lt;br /&gt;
&lt;br /&gt;
The test case applies the DAPP-MR framework to evaluate sequences of DRM measures (i.e., pathways), highlighting how complex interactions can produce non-linear effects and cross-sectoral feedbacks. Conceptualized using the DPSIR framework, Waas-MR helps decision-makers identify which dependencies significantly affect system dynamics and strategy outcomes. It serves as a controlled environment to test the utility of staged, integrative DRM approaches for developing adaptive, cost-effective strategies in complex multi-risk contexts.&lt;br /&gt;
|Technical Considerations=Python&lt;br /&gt;
|Key Words=Integrated Assessment Meta-Model, Policy Analysis, Flood, Drought&lt;br /&gt;
}}&lt;br /&gt;
[[File:WaasMR simplified.png|10cm|frame|center|Simplified conceptualization of the multi-risk model of the Waas-MR case study]]&lt;/div&gt;</summary>
		<author><name>JuliusSchlumberger</name></author>
	</entry>
	<entry>
		<id>https://myriad-staging.bgs.ac.uk/index.php?title=Waas-MR&amp;diff=2915</id>
		<title>Waas-MR</title>
		<link rel="alternate" type="text/html" href="https://myriad-staging.bgs.ac.uk/index.php?title=Waas-MR&amp;diff=2915"/>
		<updated>2025-04-09T12:56:57Z</updated>

		<summary type="html">&lt;p&gt;JuliusSchlumberger: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{MHRM&lt;br /&gt;
|Publication Year=2024&lt;br /&gt;
|Access=Open&lt;br /&gt;
|Link=https://doi.org/10.1029/2023EF004288&lt;br /&gt;
|Author(s)=Julius Schlumberger&lt;br /&gt;
|Organisation(s)=Deltares&lt;br /&gt;
|Description=Waas-MR is a synthetic multi-risk test case developed to explore the effects of interacting climate hazards and sectoral dependencies on Disaster Risk Management (DRM) decision-making under deep uncertainty. Building on the original “Waas” case, Waas-MR incorporates dynamic interactions between floods and droughts and across sectors - specifically agriculture, shipping, and urban housing. It integrates multiple types of hazard interactions (e.g., droughts amplifying flood impacts, shifting risk perceptions over time) and models how these influence sectoral vulnerabilities and the uptake of DRM measures over a 100-year time horizon.&lt;br /&gt;
&lt;br /&gt;
The test case applies the DAPP-MR framework to evaluate sequences of DRM measures (i.e., pathways), highlighting how complex interactions can produce non-linear effects and cross-sectoral feedbacks. Conceptualized using the DPSIR framework, Waas-MR helps decision-makers identify which dependencies significantly affect system dynamics and strategy outcomes. It serves as a controlled environment to test the utility of staged, integrative DRM approaches for developing adaptive, cost-effective strategies in complex multi-risk contexts.&lt;br /&gt;
|Technical Considerations=Python&lt;br /&gt;
|Key Words=Integrated Assessment Meta-Model, Policy Analysis, Flood, Drought&lt;br /&gt;
}}&lt;br /&gt;
[[File:WaasMR simplified.png|200px|frame|center|Simplified conceptualization of the multi-risk model of the Waas-MR case study]]&lt;/div&gt;</summary>
		<author><name>JuliusSchlumberger</name></author>
	</entry>
	<entry>
		<id>https://myriad-staging.bgs.ac.uk/index.php?title=Waas-MR&amp;diff=2914</id>
		<title>Waas-MR</title>
		<link rel="alternate" type="text/html" href="https://myriad-staging.bgs.ac.uk/index.php?title=Waas-MR&amp;diff=2914"/>
		<updated>2025-04-09T12:56:35Z</updated>

		<summary type="html">&lt;p&gt;JuliusSchlumberger: Created page with &amp;quot;{{MHRM |Publication Year=2024 |Access=Open |Link=https://doi.org/10.1029/2023EF004288 |Author(s)=Julius Schlumberger |Organisation(s)=Deltares |Description=Waas-MR is a synthetic multi-risk test case developed to explore the effects of interacting climate hazards and sectoral dependencies on Disaster Risk Management (DRM) decision-making under deep uncertainty. Building on the original “Waas” case, Waas-MR incorporates dynamic interactions between floods and droughts...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{MHRM&lt;br /&gt;
|Publication Year=2024&lt;br /&gt;
|Access=Open&lt;br /&gt;
|Link=https://doi.org/10.1029/2023EF004288&lt;br /&gt;
|Author(s)=Julius Schlumberger&lt;br /&gt;
|Organisation(s)=Deltares&lt;br /&gt;
|Description=Waas-MR is a synthetic multi-risk test case developed to explore the effects of interacting climate hazards and sectoral dependencies on Disaster Risk Management (DRM) decision-making under deep uncertainty. Building on the original “Waas” case, Waas-MR incorporates dynamic interactions between floods and droughts and across sectors - specifically agriculture, shipping, and urban housing. It integrates multiple types of hazard interactions (e.g., droughts amplifying flood impacts, shifting risk perceptions over time) and models how these influence sectoral vulnerabilities and the uptake of DRM measures over a 100-year time horizon.&lt;br /&gt;
&lt;br /&gt;
The test case applies the DAPP-MR framework to evaluate sequences of DRM measures (i.e., pathways), highlighting how complex interactions can produce non-linear effects and cross-sectoral feedbacks. Conceptualized using the DPSIR framework, Waas-MR helps decision-makers identify which dependencies significantly affect system dynamics and strategy outcomes. It serves as a controlled environment to test the utility of staged, integrative DRM approaches for developing adaptive, cost-effective strategies in complex multi-risk contexts.&lt;br /&gt;
|Technical Considerations=Python&lt;br /&gt;
|Key Words=Integrated Assessment Meta-Model, Policy Analysis, Flood, Drought&lt;br /&gt;
}}&lt;br /&gt;
[[File:WaasMR simplified.png|300px|frame|center|Simplified conceptualization of the multi-risk model of the Waas-MR case study]]&lt;/div&gt;</summary>
		<author><name>JuliusSchlumberger</name></author>
	</entry>
	<entry>
		<id>https://myriad-staging.bgs.ac.uk/index.php?title=File:WaasMR_simplified.png&amp;diff=2913</id>
		<title>File:WaasMR simplified.png</title>
		<link rel="alternate" type="text/html" href="https://myriad-staging.bgs.ac.uk/index.php?title=File:WaasMR_simplified.png&amp;diff=2913"/>
		<updated>2025-04-09T12:54:44Z</updated>

		<summary type="html">&lt;p&gt;JuliusSchlumberger: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Simplified conceptualization of the multi-risk model of the Waas-MR case study&lt;/div&gt;</summary>
		<author><name>JuliusSchlumberger</name></author>
	</entry>
	<entry>
		<id>https://myriad-staging.bgs.ac.uk/index.php?title=Pathways_Analysis_Dashboard&amp;diff=2911</id>
		<title>Pathways Analysis Dashboard</title>
		<link rel="alternate" type="text/html" href="https://myriad-staging.bgs.ac.uk/index.php?title=Pathways_Analysis_Dashboard&amp;diff=2911"/>
		<updated>2025-04-09T12:42:25Z</updated>

		<summary type="html">&lt;p&gt;JuliusSchlumberger: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{MHRM&lt;br /&gt;
|Publication Year=2024&lt;br /&gt;
|Access=Open&lt;br /&gt;
|Link=https://www.pathways-analysis-dashboard.net/&lt;br /&gt;
|Author(s)=Julius Schlumberger&lt;br /&gt;
|Organisation(s)=Deltares&lt;br /&gt;
|Description=The Pathways Analysis Dashboard is a visual analytics tool developed to support decision-making for multi-risk Disaster Risk Management (DRM) under uncertainty. Designed through a systematic, user-centered approach, the dashboard integrates interactive visualizations - such as Decision Trees, Parallel Coordinates Plots, Heatmaps, and Pathways Maps—to help users explore, compare, and evaluate different adaptation pathways across sectors and time. Tested with a diverse group of 54 participants, the dashboard enabled users of varying expertise to analyze pathway performance, timing, and system-level interactions with a high degree of accuracy (71–80%). Users particularly valued its interactivity, allowing scenario exploration and access to contextual information on demand. While effective as a standalone analysis tool, it also holds promise for participatory settings, supporting transparent, multi-criteria decision-making in complex and uncertain environments. The dashboard illustrates the potential of visual analytics in advancing DRM.&lt;br /&gt;
|Key Words=Visualization; Visual Analytics; Policy Analysis; Multi-Risk&lt;br /&gt;
}}&lt;/div&gt;</summary>
		<author><name>JuliusSchlumberger</name></author>
	</entry>
	<entry>
		<id>https://myriad-staging.bgs.ac.uk/index.php?title=Pathways_Analysis_Dashboard&amp;diff=2910</id>
		<title>Pathways Analysis Dashboard</title>
		<link rel="alternate" type="text/html" href="https://myriad-staging.bgs.ac.uk/index.php?title=Pathways_Analysis_Dashboard&amp;diff=2910"/>
		<updated>2025-04-09T12:41:40Z</updated>

		<summary type="html">&lt;p&gt;JuliusSchlumberger: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{MHRM&lt;br /&gt;
|Publication Year=2024&lt;br /&gt;
|Access=Open&lt;br /&gt;
|Link=https://www.pathways-analysis-dashboard.net/&lt;br /&gt;
|Author(s)=Julius Schlumberger&lt;br /&gt;
[[File:PAD-logo.png|200px|thumb|right]]&lt;br /&gt;
|Organisation(s)=Deltares&lt;br /&gt;
|Description=The Pathways Analysis Dashboard is a visual analytics tool developed to support decision-making for multi-risk Disaster Risk Management (DRM) under uncertainty. Designed through a systematic, user-centered approach, the dashboard integrates interactive visualizations - such as Decision Trees, Parallel Coordinates Plots, Heatmaps, and Pathways Maps—to help users explore, compare, and evaluate different adaptation pathways across sectors and time. Tested with a diverse group of 54 participants, the dashboard enabled users of varying expertise to analyze pathway performance, timing, and system-level interactions with a high degree of accuracy (71–80%). Users particularly valued its interactivity, allowing scenario exploration and access to contextual information on demand. While effective as a standalone analysis tool, it also holds promise for participatory settings, supporting transparent, multi-criteria decision-making in complex and uncertain environments. The dashboard illustrates the potential of visual analytics in advancing DRM.&lt;br /&gt;
|Key Words=Visualization; Visual Analytics; Policy Analysis; Multi-Risk&lt;br /&gt;
}}&lt;/div&gt;</summary>
		<author><name>JuliusSchlumberger</name></author>
	</entry>
	<entry>
		<id>https://myriad-staging.bgs.ac.uk/index.php?title=Pathways_Analysis_Dashboard&amp;diff=2907</id>
		<title>Pathways Analysis Dashboard</title>
		<link rel="alternate" type="text/html" href="https://myriad-staging.bgs.ac.uk/index.php?title=Pathways_Analysis_Dashboard&amp;diff=2907"/>
		<updated>2025-04-09T12:36:35Z</updated>

		<summary type="html">&lt;p&gt;JuliusSchlumberger: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{MHRM&lt;br /&gt;
|Publication Year=2024&lt;br /&gt;
|Access=Open&lt;br /&gt;
|Link=https://www.pathways-analysis-dashboard.net/&lt;br /&gt;
|Author(s)=Julius Schlumberger&lt;br /&gt;
|Organisation(s)=Deltares&lt;br /&gt;
|Description=The Pathways Analysis Dashboard is a visual analytics tool developed to support decision-making for multi-risk Disaster Risk Management (DRM) under uncertainty. Designed through a systematic, user-centered approach, the dashboard integrates interactive visualizations - such as Decision Trees, Parallel Coordinates Plots, Heatmaps, and Pathways Maps—to help users explore, compare, and evaluate different adaptation pathways across sectors and time. Tested with a diverse group of 54 participants, the dashboard enabled users of varying expertise to analyze pathway performance, timing, and system-level interactions with a high degree of accuracy (71–80%). Users particularly valued its interactivity, allowing scenario exploration and access to contextual information on demand. While effective as a standalone analysis tool, it also holds promise for participatory settings, supporting transparent, multi-criteria decision-making in complex and uncertain environments. The dashboard illustrates the potential of visual analytics in advancing DRM.&lt;br /&gt;
|Key Words=Visualization; Visual Analytics; Policy Analysis; Multi-Risk&lt;br /&gt;
}}&lt;/div&gt;</summary>
		<author><name>JuliusSchlumberger</name></author>
	</entry>
	<entry>
		<id>https://myriad-staging.bgs.ac.uk/index.php?title=Pathways_Analysis_Dashboard&amp;diff=2906</id>
		<title>Pathways Analysis Dashboard</title>
		<link rel="alternate" type="text/html" href="https://myriad-staging.bgs.ac.uk/index.php?title=Pathways_Analysis_Dashboard&amp;diff=2906"/>
		<updated>2025-04-09T12:36:22Z</updated>

		<summary type="html">&lt;p&gt;JuliusSchlumberger: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{MHRM&lt;br /&gt;
|Publication Year=2024&lt;br /&gt;
|Access=Open&lt;br /&gt;
|Link=https://www.pathways-analysis-dashboard.net/&lt;br /&gt;
|Author(s)=Julius Schlumberger&lt;br /&gt;
|Organisation(s)=Deltares&lt;br /&gt;
|Description=The Pathways Analysis Dashboard is a visual analytics tool developed to support decision-making for multi-risk Disaster Risk Management (DRM) under uncertainty. Designed through a systematic, user-centered approach, the dashboard integrates interactive visualizations - such as Decision Trees, Parallel Coordinates Plots, Heatmaps, and Pathways Maps—to help users explore, compare, and evaluate different adaptation pathways across sectors and time. Tested with a diverse group of 54 participants, the dashboard enabled users of varying expertise to analyze pathway performance, timing, and system-level interactions with a high degree of accuracy (71–80%). Users particularly valued its interactivity, allowing scenario exploration and access to contextual information on demand. While effective as a standalone analysis tool, it also holds promise for participatory settings, supporting transparent, multi-criteria decision-making in complex and uncertain environments. The dashboard illustrates the potential of visual analytics in advancing DRM.&lt;br /&gt;
|Key Words=Visualization; Visual Analytics; Policy Analysis; Multi-Risk&lt;br /&gt;
}}&lt;br /&gt;
[[File:PAD-Logo.png|200px|right]]&lt;/div&gt;</summary>
		<author><name>JuliusSchlumberger</name></author>
	</entry>
	<entry>
		<id>https://myriad-staging.bgs.ac.uk/index.php?title=Pathways_Analysis_Dashboard&amp;diff=2905</id>
		<title>Pathways Analysis Dashboard</title>
		<link rel="alternate" type="text/html" href="https://myriad-staging.bgs.ac.uk/index.php?title=Pathways_Analysis_Dashboard&amp;diff=2905"/>
		<updated>2025-04-09T12:35:41Z</updated>

		<summary type="html">&lt;p&gt;JuliusSchlumberger: logo added&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{MHRM&lt;br /&gt;
|Publication Year=2024&lt;br /&gt;
|Access=Open&lt;br /&gt;
|Link=https://www.pathways-analysis-dashboard.net/&lt;br /&gt;
|Author(s)=Julius Schlumberger&lt;br /&gt;
|Organisation(s)=Deltares&lt;br /&gt;
|Description=The Pathways Analysis Dashboard is a visual analytics tool developed to support decision-making for multi-risk Disaster Risk Management (DRM) under uncertainty. Designed through a systematic, user-centered approach, the dashboard integrates interactive visualizations - such as Decision Trees, Parallel Coordinates Plots, Heatmaps, and Pathways Maps—to help users explore, compare, and evaluate different adaptation pathways across sectors and time. Tested with a diverse group of 54 participants, the dashboard enabled users of varying expertise to analyze pathway performance, timing, and system-level interactions with a high degree of accuracy (71–80%). Users particularly valued its interactivity, allowing scenario exploration and access to contextual information on demand. While effective as a standalone analysis tool, it also holds promise for participatory settings, supporting transparent, multi-criteria decision-making in complex and uncertain environments. The dashboard illustrates the potential of visual analytics in advancing DRM.&lt;br /&gt;
|Key Words=Visualization; Visual Analytics; Policy Analysis; Multi-Risk&lt;br /&gt;
}}&lt;br /&gt;
[[File:PAD-Logo.png|200px|thumb|right]]&lt;/div&gt;</summary>
		<author><name>JuliusSchlumberger</name></author>
	</entry>
	<entry>
		<id>https://myriad-staging.bgs.ac.uk/index.php?title=Pathways_Analysis_Dashboard&amp;diff=2903</id>
		<title>Pathways Analysis Dashboard</title>
		<link rel="alternate" type="text/html" href="https://myriad-staging.bgs.ac.uk/index.php?title=Pathways_Analysis_Dashboard&amp;diff=2903"/>
		<updated>2025-04-09T12:34:36Z</updated>

		<summary type="html">&lt;p&gt;JuliusSchlumberger: Created page with &amp;quot;{{MHRM |Publication Year=2024 |Access=Open |Link=https://www.pathways-analysis-dashboard.net/ |Author(s)=Julius Schlumberger right |Organisation(s)=Deltares |Description=The Pathways Analysis Dashboard is a visual analytics tool developed to support decision-making for multi-risk Disaster Risk Management (DRM) under uncertainty. Designed through a systematic, user-centered approach, the dashboard integrates interactive visualizations - such as...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{MHRM&lt;br /&gt;
|Publication Year=2024&lt;br /&gt;
|Access=Open&lt;br /&gt;
|Link=https://www.pathways-analysis-dashboard.net/&lt;br /&gt;
|Author(s)=Julius Schlumberger&lt;br /&gt;
[[File:PAD-Logo.png|thumb|right]]&lt;br /&gt;
|Organisation(s)=Deltares&lt;br /&gt;
|Description=The Pathways Analysis Dashboard is a visual analytics tool developed to support decision-making for multi-risk Disaster Risk Management (DRM) under uncertainty. Designed through a systematic, user-centered approach, the dashboard integrates interactive visualizations - such as Decision Trees, Parallel Coordinates Plots, Heatmaps, and Pathways Maps—to help users explore, compare, and evaluate different adaptation pathways across sectors and time. Tested with a diverse group of 54 participants, the dashboard enabled users of varying expertise to analyze pathway performance, timing, and system-level interactions with a high degree of accuracy (71–80%). Users particularly valued its interactivity, allowing scenario exploration and access to contextual information on demand. While effective as a standalone analysis tool, it also holds promise for participatory settings, supporting transparent, multi-criteria decision-making in complex and uncertain environments. The dashboard illustrates the potential of visual analytics in advancing DRM.&lt;br /&gt;
|Key Words=Visualization; Visual Analytics; Policy Analysis; Multi-Risk&lt;br /&gt;
}}&lt;/div&gt;</summary>
		<author><name>JuliusSchlumberger</name></author>
	</entry>
	<entry>
		<id>https://myriad-staging.bgs.ac.uk/index.php?title=File:PAD-Logo.png&amp;diff=2902</id>
		<title>File:PAD-Logo.png</title>
		<link rel="alternate" type="text/html" href="https://myriad-staging.bgs.ac.uk/index.php?title=File:PAD-Logo.png&amp;diff=2902"/>
		<updated>2025-04-09T12:33:16Z</updated>

		<summary type="html">&lt;p&gt;JuliusSchlumberger: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Logo of the Pathways Analysis Dashboard for multi-risk DRM pathways&lt;/div&gt;</summary>
		<author><name>JuliusSchlumberger</name></author>
	</entry>
	<entry>
		<id>https://myriad-staging.bgs.ac.uk/index.php?title=Dynamic_Adaptive_Policy_Pathways_for_Multi-Risk_(DAPP-MR)&amp;diff=2897</id>
		<title>Dynamic Adaptive Policy Pathways for Multi-Risk (DAPP-MR)</title>
		<link rel="alternate" type="text/html" href="https://myriad-staging.bgs.ac.uk/index.php?title=Dynamic_Adaptive_Policy_Pathways_for_Multi-Risk_(DAPP-MR)&amp;diff=2897"/>
		<updated>2025-04-09T12:25:05Z</updated>

		<summary type="html">&lt;p&gt;JuliusSchlumberger: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{MHRM&lt;br /&gt;
|Publication Year=2022&lt;br /&gt;
|Access=Open&lt;br /&gt;
|Link=https://doi.org/10.1016/j.isci.2022.105219&lt;br /&gt;
|Author(s)=Julius Schlumberger&lt;br /&gt;
|Organisation(s)=Deltares&lt;br /&gt;
|Description=DAPP-MR (Dynamic Adaptive Policy Pathways for Multi-Risk) is a tailored extension of the DAPP approach (Haasnoot et al. 2013) designed to support Disaster Risk Management (DRM) in complex, multi-hazard, and multi-sector systems. By introducing iterative stages into the standard DAPP process, DAPP-MR enables the analysis of interactions, trade-offs, and synergies across sectors and hazards. It provides a structured yet flexible framework to progressively integrate knowledge regarding interactions between hazards and/or sectors and guide the development of adaptive DRM pathways under uncertainty. &lt;br /&gt;
&lt;br /&gt;
It offers a set of guiding questions that help integrate the complexity as part of the original publication&#039;s appendix.&lt;br /&gt;
&lt;br /&gt;
It has been applied as an analytical framework in a quantitative case study and a set of qualitative case studies.&lt;br /&gt;
|Key Words=Pathways, Uncertainty, Policy Analysis, Framework&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
[[File:DAPP-MR.png|400px|thumb|center| alt=empty|The proposed DAPP-MR framework. It uses a rearranged set of analytical steps of the DAPP framework: Steps 1-4 are addressed in an interactive, staged approach to guide the integration of knowledge from a single-sector, single-hazard perspective (pink arrows), to a single-sector, multi-hazard perspective (purple arrows), to a multi-sector, multi-risk perspective (dark blue arrows) before advancing to Steps 5-7.]]&lt;/div&gt;</summary>
		<author><name>JuliusSchlumberger</name></author>
	</entry>
	<entry>
		<id>https://myriad-staging.bgs.ac.uk/index.php?title=Dynamic_Adaptive_Policy_Pathways_for_Multi-Risk_(DAPP-MR)&amp;diff=2895</id>
		<title>Dynamic Adaptive Policy Pathways for Multi-Risk (DAPP-MR)</title>
		<link rel="alternate" type="text/html" href="https://myriad-staging.bgs.ac.uk/index.php?title=Dynamic_Adaptive_Policy_Pathways_for_Multi-Risk_(DAPP-MR)&amp;diff=2895"/>
		<updated>2025-04-09T12:24:10Z</updated>

		<summary type="html">&lt;p&gt;JuliusSchlumberger: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{MHRM&lt;br /&gt;
|Publication Year=2022&lt;br /&gt;
|Access=Open&lt;br /&gt;
|Link=https://doi.org/10.1016/j.isci.2022.105219&lt;br /&gt;
|Author(s)=Julius Schlumberger&lt;br /&gt;
|Organisation(s)=Deltares&lt;br /&gt;
|Description=DAPP-MR (Dynamic Adaptive Policy Pathways for Multi-Risk) is a tailored extension of the DAPP approach (Haasnoot et al. 2013) designed to support Disaster Risk Management (DRM) in complex, multi-hazard, and multi-sector systems. By introducing iterative stages into the standard DAPP process, DAPP-MR enables the analysis of interactions, trade-offs, and synergies across sectors and hazards. It provides a structured yet flexible framework to progressively integrate knowledge regarding interactions between hazards and/or sectors and guide the development of adaptive DRM pathways under uncertainty. &lt;br /&gt;
&lt;br /&gt;
It offers a set of guiding questions that help integrate the complexity as part of the original publication&#039;s appendix.&lt;br /&gt;
&lt;br /&gt;
It has been applied as an analytical framework in a quantitative case study and a set of qualitative case studies.&lt;br /&gt;
|Key Words=Pathways, Uncertainty, Policy Analysis, Framework&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
[[File:DAPP-MR.png|200px|thumb|alt=empty|The proposed DAPP-MR framework. It uses a rearranged set of analytical steps of the DAPP framework: Steps 1-4 are addressed in an interactive, staged approach to guide the integration of knowledge from a single-sector, single-hazard perspective (pink arrows), to a single-sector, multi-hazard perspective (purple arrows), to a multi-sector, multi-risk perspective (dark blue arrows) before advancing to Steps 5-7.]]&lt;/div&gt;</summary>
		<author><name>JuliusSchlumberger</name></author>
	</entry>
	<entry>
		<id>https://myriad-staging.bgs.ac.uk/index.php?title=File:DAPP-MR.png&amp;diff=2892</id>
		<title>File:DAPP-MR.png</title>
		<link rel="alternate" type="text/html" href="https://myriad-staging.bgs.ac.uk/index.php?title=File:DAPP-MR.png&amp;diff=2892"/>
		<updated>2025-04-09T12:21:31Z</updated>

		<summary type="html">&lt;p&gt;JuliusSchlumberger: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Analytical steps of the DAPP-MR framework&lt;/div&gt;</summary>
		<author><name>JuliusSchlumberger</name></author>
	</entry>
	<entry>
		<id>https://myriad-staging.bgs.ac.uk/index.php?title=Dynamic_Adaptive_Policy_Pathways_for_Multi-Risk_(DAPP-MR)&amp;diff=2891</id>
		<title>Dynamic Adaptive Policy Pathways for Multi-Risk (DAPP-MR)</title>
		<link rel="alternate" type="text/html" href="https://myriad-staging.bgs.ac.uk/index.php?title=Dynamic_Adaptive_Policy_Pathways_for_Multi-Risk_(DAPP-MR)&amp;diff=2891"/>
		<updated>2025-04-09T12:19:08Z</updated>

		<summary type="html">&lt;p&gt;JuliusSchlumberger: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{MHRM&lt;br /&gt;
|Publication Year=2022&lt;br /&gt;
|Access=Open&lt;br /&gt;
|Link=https://doi.org/10.1016/j.isci.2022.105219&lt;br /&gt;
|Author(s)=Julius Schlumberger&lt;br /&gt;
|Organisation(s)=Deltares&lt;br /&gt;
|Description=DAPP-MR (Dynamic Adaptive Policy Pathways for Multi-Risk) is a tailored extension of the DAPP approach (Haasnoot et al. 2013) designed to support Disaster Risk Management (DRM) in complex, multi-hazard, and multi-sector systems. By introducing iterative stages into the standard DAPP process, DAPP-MR enables the analysis of interactions, trade-offs, and synergies across sectors and hazards. It provides a structured yet flexible framework to progressively integrate knowledge regarding interactions between hazards and/or sectors and guide the development of adaptive DRM pathways under uncertainty. &lt;br /&gt;
&lt;br /&gt;
It offers a set of guiding questions that help integrate the complexity as part of the original publication&#039;s appendix.&lt;br /&gt;
&lt;br /&gt;
It has been applied as an analytical framework in a quantitative case study and a set of qualitative case studies.&lt;br /&gt;
|Key Words=Pathways, Uncertainty, Policy Analysis, Framework&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
[[File:DAPPMR.png|200px|left|Caption]]&lt;/div&gt;</summary>
		<author><name>JuliusSchlumberger</name></author>
	</entry>
	<entry>
		<id>https://myriad-staging.bgs.ac.uk/index.php?title=Dynamic_Adaptive_Policy_Pathways_for_Multi-Risk_(DAPP-MR)&amp;diff=2888</id>
		<title>Dynamic Adaptive Policy Pathways for Multi-Risk (DAPP-MR)</title>
		<link rel="alternate" type="text/html" href="https://myriad-staging.bgs.ac.uk/index.php?title=Dynamic_Adaptive_Policy_Pathways_for_Multi-Risk_(DAPP-MR)&amp;diff=2888"/>
		<updated>2025-04-09T12:16:49Z</updated>

		<summary type="html">&lt;p&gt;JuliusSchlumberger: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{MHRM&lt;br /&gt;
|Publication Year=2022&lt;br /&gt;
|Access=Open&lt;br /&gt;
|Link=https://doi.org/10.1016/j.isci.2022.105219&lt;br /&gt;
|Author(s)=Julius Schlumberger&lt;br /&gt;
|Organisation(s)=Deltares&lt;br /&gt;
|Description=DAPP-MR (Dynamic Adaptive Policy Pathways for Multi-Risk) is a tailored extension of the DAPP approach (Haasnoot et al. 2013) designed to support Disaster Risk Management (DRM) in complex, multi-hazard, and multi-sector systems. By introducing iterative stages into the standard DAPP process, DAPP-MR enables the analysis of interactions, trade-offs, and synergies across sectors and hazards. It provides a structured yet flexible framework to progressively integrate knowledge regarding interactions between hazards and/or sectors and guide the development of adaptive DRM pathways under uncertainty. &lt;br /&gt;
&lt;br /&gt;
It offers a set of guiding questions that help integrate the complexity as part of the original publication&#039;s appendix.&lt;br /&gt;
&lt;br /&gt;
It has been applied as an analytical framework in a quantitative case study and a set of qualitative case studies.&lt;br /&gt;
|Key Words=Pathways, Uncertainty, Policy Analysis, Framework&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
[[File:DAPPMR.png|200px|thumb|left|Caption]]&lt;/div&gt;</summary>
		<author><name>JuliusSchlumberger</name></author>
	</entry>
	<entry>
		<id>https://myriad-staging.bgs.ac.uk/index.php?title=Dynamic_Adaptive_Policy_Pathways_for_Multi-Risk_(DAPP-MR)&amp;diff=2885</id>
		<title>Dynamic Adaptive Policy Pathways for Multi-Risk (DAPP-MR)</title>
		<link rel="alternate" type="text/html" href="https://myriad-staging.bgs.ac.uk/index.php?title=Dynamic_Adaptive_Policy_Pathways_for_Multi-Risk_(DAPP-MR)&amp;diff=2885"/>
		<updated>2025-04-09T12:15:27Z</updated>

		<summary type="html">&lt;p&gt;JuliusSchlumberger: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{MHRM&lt;br /&gt;
|Publication Year=2022&lt;br /&gt;
|Access=Open&lt;br /&gt;
|Link=https://doi.org/10.1016/j.isci.2022.105219&lt;br /&gt;
|Author(s)=Julius Schlumberger&lt;br /&gt;
|Organisation(s)=Deltares&lt;br /&gt;
|Description=DAPP-MR (Dynamic Adaptive Policy Pathways for Multi-Risk) is a tailored extension of the DAPP approach (Haasnoot et al. 2013) designed to support Disaster Risk Management (DRM) in complex, multi-hazard, and multi-sector systems. By introducing iterative stages into the standard DAPP process, DAPP-MR enables the analysis of interactions, trade-offs, and synergies across sectors and hazards. It provides a structured yet flexible framework to progressively integrate knowledge regarding interactions between hazards and/or sectors and guide the development of adaptive DRM pathways under uncertainty. &lt;br /&gt;
&lt;br /&gt;
It offers a set of guiding questions that help integrate the complexity as part of the original publication&#039;s appendix.&lt;br /&gt;
&lt;br /&gt;
It has been applied as an analytical framework in a quantitative case study and a set of qualitative case studies.&lt;br /&gt;
|Key Words=Pathways, Uncertainty, Policy Analysis, Framework&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
[[File:DAPPMR.png]]&lt;/div&gt;</summary>
		<author><name>JuliusSchlumberger</name></author>
	</entry>
	<entry>
		<id>https://myriad-staging.bgs.ac.uk/index.php?title=File:DAPPMR.png&amp;diff=2881</id>
		<title>File:DAPPMR.png</title>
		<link rel="alternate" type="text/html" href="https://myriad-staging.bgs.ac.uk/index.php?title=File:DAPPMR.png&amp;diff=2881"/>
		<updated>2025-04-09T12:12:22Z</updated>

		<summary type="html">&lt;p&gt;JuliusSchlumberger: The proposed DAPP-MR framework. It uses a rearranged set of analytical steps of the DAPP framework: Steps 1-4 are addressed in an interactive, staged approach to guide the integration of knowledge from a single-sector, single-hazard perspective (pink arrows), to a single-sector, multi-hazard perspective (purple arrows), to a multi-sector, multi-risk perspective (dark blue arrows) before advancing to Steps 5-7.&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Summary ==&lt;br /&gt;
The proposed DAPP-MR framework. It uses a rearranged set of analytical steps of the DAPP framework: Steps 1-4 are addressed in an interactive, staged approach to guide the integration of knowledge from a single-sector, single-hazard perspective (pink arrows), to a single-sector, multi-hazard perspective (purple arrows), to a multi-sector, multi-risk perspective (dark blue arrows) before advancing to Steps 5-7. &lt;br /&gt;
== Licensing ==&lt;br /&gt;
{{CC-by-4.0}}&lt;/div&gt;</summary>
		<author><name>JuliusSchlumberger</name></author>
	</entry>
	<entry>
		<id>https://myriad-staging.bgs.ac.uk/index.php?title=Dynamic_Adaptive_Policy_Pathways_for_Multi-Risk_(DAPP-MR)&amp;diff=2879</id>
		<title>Dynamic Adaptive Policy Pathways for Multi-Risk (DAPP-MR)</title>
		<link rel="alternate" type="text/html" href="https://myriad-staging.bgs.ac.uk/index.php?title=Dynamic_Adaptive_Policy_Pathways_for_Multi-Risk_(DAPP-MR)&amp;diff=2879"/>
		<updated>2025-04-09T12:09:08Z</updated>

		<summary type="html">&lt;p&gt;JuliusSchlumberger: initial page-set up&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{MHRM&lt;br /&gt;
|Publication Year=2022&lt;br /&gt;
|Access=Open&lt;br /&gt;
|Link=https://doi.org/10.1016/j.isci.2022.105219&lt;br /&gt;
|Author(s)=Julius Schlumberger&lt;br /&gt;
|Organisation(s)=Deltares&lt;br /&gt;
|Description=DAPP-MR (Dynamic Adaptive Policy Pathways for Multi-Risk) is a tailored extension of the DAPP approach (Haasnoot et al. 2013) designed to support Disaster Risk Management (DRM) in complex, multi-hazard, and multi-sector systems. By introducing iterative stages into the standard DAPP process, DAPP-MR enables the analysis of interactions, trade-offs, and synergies across sectors and hazards. It provides a structured yet flexible framework to progressively integrate knowledge regarding interactions between hazards and/or sectors and guide the development of adaptive DRM pathways under uncertainty. &lt;br /&gt;
&lt;br /&gt;
It offers a set of guiding questions that help integrate the complexity as part of the original publication&#039;s appendix.&lt;br /&gt;
&lt;br /&gt;
It has been applied as an analytical framework in a quantitative case study and a set of qualitative case studies.&lt;br /&gt;
|Key Words=Pathways, Uncertainty, Policy Analysis, Framework&lt;br /&gt;
}}&lt;/div&gt;</summary>
		<author><name>JuliusSchlumberger</name></author>
	</entry>
</feed>