Horizon Europe · Horizon Europe (HORIZON)
Anticipating the long-term future of neighbourhoods in line with the New European Bauhaus
Call summary
From the official text, opening part
Expected Outcome: Project results are expected to contribute to all of the following expected outcomes: Local stakeholders adopt long-term stewardship and participate [1] in anticipating and envisioning the long-term future [2] of their existing neighbourhoods [3] . Existing neighbourhoods are more resilient and can adapt to changing socioeconomic, cultural, demographic, and climatic conditions, challenges and needs. Scope: The New European Bauhaus (NEB) is redefining the way neighbourhoods across Europe and beyond are presently planned, designed, developed, and revitalised by fostering a new paradigm for sustainable [3] , inclusive [3] , and beautiful [3] living environments and lifestyles. Neighbourhoods are currently planned for short and medium term, typically with a 5 to 10-year perspective [7] , often influenced by insufficient coordination with broader regional and national levels… more
Civil societyDemocratic engagement and civic participationDemographyEconomic impactEnvironment, resources and sustainabilityForesight / ForecastGender in urban planning and developmentGlobalisation, migration, interethnic relationsHistorical demographyInvolvement of vulnerable populationsParticipatory/ParticipationPopulation dynamicsSocial InclusionSocial Sciences and HumanitiesSocial sciences, interdisciplinarySocietal impact
Academics who may be relevant
By subject fit
4-
%48HİLMİ EKİN OKTAY
Shared topics: Urban and spatial planning
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%48UMUT TÜRK
Shared topics: Urban, Neighborhood, and Segregation Studies
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%42EMRE KURUÇAY
Research topics: Environmental Impact and Sustainability · Recycled Aggregate Concrete Performance · Turkish Urban and Social Issues
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%42ÇİĞDEM KILIÇASLAN DENİZ
Research topics: Gender Studies and Social Issues · Sustainable Urban and Rural Development · Urban Green Space and Health
The fit is computed by code on every request: semantic similarity (55%) between the call text (title, EU keywords, start of the official description) and the academic’s YÖKSİS fields, keywords and OpenAlex topics, plus shared distinctive terms (45%; common words weigh little). Below 40% is not shown. A subject hint only — not an eligibility, capacity or merit assessment. Hidden profiles are never listed.