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Horizon Europe · Opening, Integrating and Interconnecting Research Infrastructures

Advancing interdisciplinary, data-driven research at the biodiversity- health interface under a One Health approach

HORIZON-NATURE-2027-03-01 Transformative change towards a nature-positive economy and society HORIZON-RIA Academics

DeadlineSeptember 16, 2027 not open yet
OpensJune 3, 2027EU data
StatusForthcomingupdated October 1, 2026

Call summary

From the official text, opening part

Expected Outcome: Proposals are expected to contribute to all the following expected outcomes: public authorities, researchers and policymakers have access to robust knowledge foundations and analytical frameworks that enable inter- and transdisciplinary biodiversity-related research and collaboration, address interdependencies and strengthen the operationalisation of the One Health and Planetary Health approaches; researchers, public authorities and global organisations have access to Findable Accessible Interoperable and Reusable (FAIR) data [1] supported by enhanced digital infrastructures. These data will build on improved identification, mobilisation and interoperability of existing data across thematic areas relevant to ecosystem and wildlife health, the main drivers of biodiversity loss and their impacts on human and animal health; researchers, affected communities, food producers… more

Academics who may be relevant

By subject fit

7
  1. %45
  2. %45
  3. %43
    BURAK SARI
    Araştırma GörevlisiKaradeniz Teknik Üniversitesi

    Shared topics: Conservation, Biodiversity, and Resource Management

    Overlapping papers: Determining the Spatio-Temporal Dynamics of Land Cover alongwith Some Socio-Economic Factors in the Olur Planning Unit (Turkey) (2021)

  4. %42
    HATİCE BÜŞRA ŞAHİN
    Araştırma GörevlisiManisa Celâl Bayar Üniversitesi

    Shared topics: Health disparities and outcomes · Mental Health Treatment and Access · Food Security and Health in Diverse Populations

  5. %41
  6. %40
  7. %40
    HAVVA ÜLGEN BEKİŞOĞLU
    DoçentAksaray Üniversitesi

    Shared topics: Urban Green Space and Health

The fit is computed by code on every request. The call text (title, keywords, start of the official description) is compared with three sources: semantic similarity to the academic profile (50%), shared distinctive terms in YÖKSİS keywords and OpenAlex topics (25%) and publication content — titles, English abstracts and their Turkish translations (25%). Thanks to the translations, Turkish calls also meet papers written in English. 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.