Municipalities/regions and water utilities to pilot the toolkit on real districts and share data (water demand, networks, rainfall, land use) for calibration and scenario testing. Water engineers/modellers to validate NBS and decentralised options (RWH, greywater reuse, sewer mining) and co-develop decision workflows. Partners to link outputs to euPOLIS indicators and dashboards for stakeholder communication. Funding for module expansion, UX/documentation and training packages.

UWOT-based toolkit adapted for multiple NBS types and decentralised water options, validated in relevant contexts with scenario comparison and mapping to euPOLIS indicators. Next steps: broaden NBS modules, improve usability/workflows, strengthen calibration with utility datasets, and expand training/education and integration with dashboards. We seek funding and pilots with cities/utilities.

Yes. The toolkit scales by reusing a consistent modelling framework across cities and scales, with scenario templates, modular NBS components and standardised indicator mapping. Training packages and a free educational version support adoption, while consultancy/training services enable high-quality deployments and repeatable calibration workflows with utilities and municipalities.

Yes. The toolkit supports sustainability by enabling better-designed NBS and water interventions that improve resource efficiency, ecosystem services and urban resilience, while avoiding costly misinvestment through evidence-based scenario testing. Value is delivered through a robust, adaptable modelling framework (UWOT) with modular NBS/decentralised options and clear mapping to performance indicators for stakeholder communication and co-design. Economic value is captured through consultancy services (feasibility studies, scenario design, calibration and decision support) and training services, complemented by an educational version that builds capacity and future demand. Standardised workflows and reusable templates improve efficiency as deployments grow, supporting long-term viability while maintaining quality.