Awakening Places through Sufficiency-led Community Activation
Σύντομη περιγραφή
INUA transforms vacancy and underuse into opportunity by advancing the NEB Self-Assessment Method so Sustainability, Beauty, and Inclusion operate through a transversal sufficiency lens. This makes sufficiency a rigorous, audit-ready, and desirable route to regenerate places, reduce absolute resource demand, increase utilization, and extend the life of Europe’s built environment. Aligned with NEB, Level(s), and the Sufficiency Manifesto, INUA empowers public authorities and practitioners to assess sufficiency potential and prioritize sufficiency-oriented interventions without resorting to resource-intensive new construction. Anchored in the Sufficiency Evaluation Framework, a robust method for quantifying sufficiency potential, and the Sufficiency Lexicon, which provides a shared cross-sector language, INUA builds a digital ecosystem enabling practitioners to apply SEF methods. At its core lies the Digital Neighbourhood Logbook, an extension of the Digital Building Logbook, aimed at offering a unified and traceable register that makes under-used spaces searchable, comparable, and trackable over time. The DNL stores indicators derived from digital tools for spatial, social, and environmental sufficiency assessment and supports multi-criteria cost–benefit appraisals, agent-based sufficiency scenario exploration, interactive map visualizations, and governance models calibrated to local priorities. Validated across 5 Living Labs (Finland, Greece, Italy, Romania, Slovenia), INUA targets ≥90% vacancy mapping coverage, ≥20% faster permitting cycles, ≥69,000 MJ/day energy savings, ≥4.5 t CO2eq/day GWP savings, and ≥5,795 m² land take avoided, achieving ≥20% cost-benefit improvement for sufficiency interventions over business-as-usual. INUA engages ≥8,700 citizens, trains ≥200 professionals, and ensures ≥45% participation by women and under-represented groups, mainstreaming sufficiency as a measurable, inclusive, and future-proof pathway for regenerative transformation.



