Decision Support & Stakeholder Alignment


Context
URBAN M2O is a €5M, 48-month Horizon Europe innovation project involving 20 organizations overall. Wetsus leads the AI-enhanced monitoring work package, which involves around 15 partner organizations and focuses on sensor development, field monitoring, data-intensive research and the use of monitoring data for downstream analysis.
Challenge
Translate high-level project objectives and fragmented partner input into a workable monitoring approach, while making dependencies across sensors, case-study sites, lab validation, data flows, AI needs and downstream modelling visible.
My role
Project Manager at Wetsus and Work Package Leader for the AI-enhanced monitoring work package, connecting project governance with technical and case-study stakeholders.
What I did
- Alongside URBAN M2O, contributed to Horizon Europe proposals for new projects, shaping project objectives, work-package design, tasks, implementation logic and partner responsibilities.
- Translated high-level objectives into operational and technical planning across sensor development, case-study implementation, data collection, lab validation, data-flow requirements, AI needs and downstream modelling.
- Consolidated requirements around monitoring locations, installations, sampling logic, validation needs, data availability, responsibilities and timelines.
- Facilitated partner and technical discussions to resolve ambiguity, validate assumptions and make decision points, risks and dependencies visible.
- Developed shared overview structures covering ownership, readiness, open points, dependencies, risks and follow-up needs.
- Brought field constraints such as access, power, installation feasibility and measurement frequency into cross-partner planning, helping adapt monitoring plans when initial assumptions did not hold in practice.
Outcome or value
- Created clearer visibility across partner ownership, readiness, risks, dependencies and open decisions.
- Helped move monitoring plans from high-level assumptions towards workable designs grounded in site constraints, validation needs and data usability.









