To[RV1] date, the majority of European-funded projects have aimed to make citizens co-protagonists of the ecological and energy transition by enabling and training them in the collection of various types of data (e.g., WeCount, ). These projects have typically resulted in the production of policy briefs and roadmaps for public administrations (e.g. XX), which are undoubtedly useful, but have rarely been able to bring about a substantial change in planning approaches and practices within public administrations. As a result, citizen science—and its high potential—has largely remained external to administrative workflows and has not been structurally integrated into public planning processes over the long term.
Urban planning, as currently implemented by public authorities, does not adequately embrace ecosystem-based urbanism, nor does it adequately address the widespread environmental injustice affecting the majority of cities worldwide, despite the growing availability of citizen-generated environmental knowledge, due to:
To address the above-mentioned challenges, the project aims to:
The SME partner will act as a deployment and scaling enabler. It will adapt project methodologies into standardised, service-oriented workflows compatible with public administrations’ existing planning and GIS systems, support their application in real-world urban pilots, and contribute to transforming project outputs into replicable service models. This will demonstrate how citizen-driven biodiversity and environmental justice assessments can be sustainably taken up by public authorities and urban stakeholders beyond the project duration.
The project builds on existing, well-established tools, data sources and practices that are currently validated in relevant environments (TRL 4–5) and aims to demonstrate, integrate and scale them up to operational urban planning contexts, reaching TRL 7–8 by the end of the project. By advancing existing tools and practices from TRL 4–5 to TRL 7–8 through real-world urban piloting and institutional uptake, the project will enable the emergence of new service-based business models in the fields of urban biodiversity assessment, citizen-driven monitoring and nature restoration planning.
[RV1]To be addressed: link to EU and international policies; link to already founded EU projects and related outcomes (e.g. BioBlitz within City Nature Challenge network)
The following scores were calculated using a statistically-driven machine-learning approach, a type of AI that learns to perform a task by analysing patterns in data. This is an experimental approach to citizen-science impact assessment, and the exact reasoning behind the scores is not explainable. The scores represent a best guess of the impact the project is having in each domain. Scores are recalculated and updated when “View impact report” is clicked.
Proportion of questions answered in each domain.
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