The critical question for water decision makers is whether solutions used elsewhere will work in their context. Water Decisions addresses this by structuring real-world case studies through an AI-enabled ontological framework, decomposing them into use cases, decision patterns, and system models that can be compared, adapted, and applied.
The framework aligns with ISO 22372 and the UNDRR Principles for Resilient Infrastructure, so that structured insight can be ported into existing company systems and analytical processes.
How It Works
Case studies are structured through the framework into reusable, comparable components.
Case Studies
Best practice from 22 real-world water infrastructure projects across 15 countries — what worked, what didn't, and why.
Ontology
The AI-enabled knowledge framework that structures case studies into comparable, reusable components across four domains.
Use Cases
Operational scenarios extracted from case studies — what triggers a decision, what data is available, and what action follows.
Decision Patterns
Proven strategies distilled from case studies — the playbook entries for common water infrastructure challenges.
System Models
How water systems behave over time — the analytical layer that turns options into projected outcomes.
Knowledge Network
How use cases, decision patterns, and case studies connect. Click any node to explore.
Apply It
Assess your own infrastructure, explore the principles, and access reference material.