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Horizon Europe · Horizon Europe (HORIZON)

Closing knowledge gaps on Earth system science in support of global and regional assessments and climate policy

HORIZON-CL5-2026-08-Two-Stage-D1-06 CLIMATE HORIZON-RIA Academics

DeadlineOctober 8, 2026 6 days left
OpensDecember 18, 2025EU data
StatusOpenupdated September 30, 2026

Call summary

From the official text, opening part

Expected Outcome: Project results are expected to contribute to some of the following expected outcomes: Improved quality and reduced uncertainty of global and regional climate change projections; Critical knowledge and data gaps in Earth system science as identified in the IPCC Sixth Assessment Report (AR6) and other authoritative sources, are addressed, ensuring that future climate assessments are grounded in the most comprehensive and up-to-date scientific evidence; New climate science evidence is generated that is relevant for policy needs and for informing climate action. Scope: The global community’s ability to mitigate and adapt to climate change requires the continuous advancement of climate science and related disciplines. International climate policy is informed primarily by the assessments made by the Intergovernmental Panel on Climate Change (IPCC), which provides the most co… more

Academics who may be relevant

By subject fit

4
  1. %50
    NİLAY ÖZTÜRK
    DoçentBahçeşehir Üniversitesi

    Shared topics: Science Education and Pedagogy · Climate Change Communication and Perception · Animal and Plant Science Education

  2. %47
    FATMA YAŞIN TEKİZOĞLU
    Doktor Öğretim ÜyesiAnkara Medipol Üniversitesi

    Shared topics: Climate Change Communication and Perception

  3. %46
    İLKNUR ZEREN ÇETİN
    DoçentOndokuz Mayıs Üniversitesi

    Shared topics: Plant Ecology and Soil Science · Species Distribution and Climate Change

  4. %40
    RABİA TAŞ
    Öğretim Görevlisi (uygulamalı Birim)Anadolu Üniversitesi

    Shared topics: Climate Change Communication and Perception · Animal and Plant Science Education

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.