Partner Search - HORIZON-MISS-2027-01-CLIMA-02: Researching and applying the potential of Artificial Intelligence to foster climate resilience

Bondalti Water offers an industrial sector anchor (water management and water-related infrastructure) and an AI/data integration capability to develop and validate AI tools that (i) improve actionable adaptation knowledge for regional/local decision-making, and/or (ii) strengthen sectoral climate resilience through AI-enabled optimisation and digital transformation.
We are well positioned to support Objective 2 (“AI for sectoral adaptation”) in the water management / wastewater management domain explicitly listed as a relevant sector.

What we can contribute (work packages / tasks)

• Objective 2 demonstrators (water sector): develop and test AI tools that support climate-resilient operation of water/wastewater assets (e.g., drought/low-flow operation, storm overflow risk, influent variability, energy and chemical efficiency under stress). Testing can be organised with at least 5 regional/local authorities, as required by the topic.

• Objective 1 support (“AI for more accessible data”): AI methods to improve data integrity, accessibility and usability for decision-makers (harmonising heterogeneous sensor/operational datasets; uncertainty-aware indicators; interpretable outputs), tested with at least 3 authorities.

• Operational integration: deployment-ready integration with local authority workflows (dashboards, alarms, scenario testing), embedding climate data into decision-making processes, aligned with the expected outcomes.

• Data pipelines, monitoring and risk assessment alignment: contribution to monitoring approaches compatible with Mission expectations (including links to the Mission Implementation Platform; use of recognised frameworks referenced by the call, where relevant).

• Responsible AI: practical measures to avoid bias, ensure representativeness, and manage limitations/misinformation risks when using generative AI, as explicitly requested.

• Training and dissemination packages: end-user training materials for regions and local authorities on adopting and operating the AI-powered improvements.

Assets

• Strong field experience in continuous monitoring and robust operations in harsh aqueous environments (fouling-prone, variable loads), and in turning operational data into decision support.

• In-house capabilities in data engineering, time-series analytics, hybrid/digital-twin modelling, and OT/IT integration relevant to local infrastructure operators.

Partners sought

We seek consortia including:

• Regional/local authorities (demonstration territories) to satisfy the minimum testing requirements (≥3 for Objective 1; ≥5 for Objective 2).

• AI/ML research teams (incl. deep learning, trustworthy/causal ML, uncertainty quantification), climate service and risk-modelling experts, and dissemination/SSH partners.

• Sector technology partners (utilities, infrastructure operators, solution providers) to ensure scalability and uptake, consistent with the topic’s expectations for Objective 2.

Keywords / tags

AI for climate adaptation; climate resilience; regional/local decision support; water management; wastewater management; extreme events; data integrity & accessibility; interpretable AI; uncertainty-aware indicators; digital transformation; trustworthy/generative AI safeguards; training & dissemination; Mission Implementation Platform links..