Pathways Analysis Dashboard: Difference between revisions

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Created page with "{{MHRM |Publication Year=2024 |Access=Open |Link=https://www.pathways-analysis-dashboard.net/ |Author(s)=Julius Schlumberger thumb|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..."
 
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|Link=https://www.pathways-analysis-dashboard.net/
|Link=https://www.pathways-analysis-dashboard.net/
|Author(s)=Julius Schlumberger
|Author(s)=Julius Schlumberger
[[File:PAD-Logo.png|thumb|right]]
|Organisation(s)=Deltares
|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 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.
|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.
|Key Words=Visualization; Visual Analytics; Policy Analysis; Multi-Risk
|Key Words=Visualization; Visual Analytics; Policy Analysis; Multi-Risk
}}
}}

Latest revision as of 13:42, 9 April 2025

Publication Year: 2024

Access: Open

Link: https://www.pathways-analysis-dashboard.net/

Author(s): Julius Schlumberger

Organisation(s)/Authors: 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 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.

Technical Considerations:

Key Words:

Visualization; Visual Analytics; Policy Analysis; Multi-Risk