Horizon Europe · Horizon Europe (HORIZON)
Structurally addressing homelessness through coordinated social infrastructure and services in neighbourhoods
Call summary
From the official text, opening part
Expected Outcome: Project results are expected to contribute to all of the following expected outcomes: Evidence of the structural social infrastructure [1] and services needed to address homelessness [1] at neighbourhood [1] level is made available to stakeholders involved in tackling homelessness. Improved availability and accessibility of key social infrastructure and services for homeless groups in the targeted neighbourhoods. Scope: Based on 2024 data, over 1.2 million people are estimated to experience homelessness in Europe [4] , with a significant proportion (45%) of surveyed homeless individuals finding themselves in a situation of chronic homelessness for over two years [5] . While housing-led approaches [1] are crucial to tackle homelessness, addressing the structural and multidimensional causes of homelessness also requires systemic interventions focusing on social infrastruc… more
AccessibilityConstruction, Civil engineering, InfraestructuresEnvironment, resources and sustainabilityHomelessnessInvolvement of vulnerable populationsParticipatory/ParticipationSocial InclusionSocial Sciences and HumanitiesSocial sciences, interdisciplinarySocial servicesSustainabilitySustainable development and climate actionVulnerable usersNew European Bauhaus
Academics who may be relevant
By subject fit
6-
%51GİZEMNUR KORDALI TAKAK
Shared topics: Homelessness and Social Issues
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%50EMRE KURUÇAY
Shared topics: Turkish Urban and Social Issues · Gender Studies and Social Issues
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%42YASİN FURKAN ŞENLİK
Shared topics: Land Use and Ecosystem Services · Turkish Urban and Social Issues
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%41ECE ÖZMEN
Shared topics: Turkish Urban and Social Issues
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%41UMUT TÜRK
Shared topics: Urban, Neighborhood, and Segregation Studies
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%40AYBİKE AYFER KARADAĞ
Shared topics: Turkish Urban and Social Issues · Gender Studies and Social Issues
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.