Researching and applying the potential of Artificial Intelligence to foster climate resilience at the regional and local levels

Expected Outcome: AI has the potential to support or facilitate virtually every aspect of regions’ climate adaptation efforts. From risk assessment to climate forecasting, from infrastructure planning to resource management, and more . Contributing to the objectives of the AI Continent Action Plan and the EU Mission on Adaptation to Climate Change, projects are expected to contribute one of the following: AI is used to improve actionable climate adaptation knowledge for European regions and local authorities by integrating climate data into decision-making processes. Specific sectors in the selected regions become more resilient to climate change thanks to the use of AI to improve their processes or technologies, while simultaneously advancing their digital transformation. Scope: Rationale Over the past few years, a rapid and disruptive acceleration of progress in Artificial Intelligence… more

1. %62
   EVREN ÖZGÜR

   Doktor Öğretim Üyesiİstanbul Medeniyet Üniversitesi

   Shared topics: Climate variability and models

   Overlapping papers: Investigation of the Adaptation Potential of Winter Wheat Crop to Future Climatic Conditions in Northwest of Turkey (2017) · Spatiotemporal Variation of Tourism Climate Index for Türkiye during 1981–2020 (2022)

2. %52
   ERDEM ÇOBAN

   Doktor Öğretim ÜyesiHaliç Üniversitesi

   Shared topics: Climate variability and models

   Overlapping papers: PREDICTING WATER HARDNESS THROUGH DATA-DRIVEN INTELLIGENCE: A COMPARATIVE MACHINE LEARNING APPROACH (2025)

3. %46
   ALİ ÇAYLI

   DoçentKahramanmaraş Sütçü İmam Üniversitesi

   Shared topics: Greenhouse Technology and Climate Control

   Overlapping papers: Kahramanmaraş Bölgesi İçin Seralarda Örtü Malzemesi ve Isı Tasarruf Önlemlerinin Isıtma Yüküne Etkisinin Uzman Sistem ile Belirlenmesi (2018) · An Artificial Neural Network Model For Predicting The Greenhouse Heat Requirement in Adana Climate Conditions (2019)

4. %45
   ALI DANANDEH MEHR

   ProfesörAntalya Bilim Üniversitesi

   Shared topics: Climate variability and models

   Overlapping papers: Advanced reference crop evapotranspiration prediction: a novel framework combining neural nets, bee optimization algorithm, and mode decomposition (2024) · Drought Monitoring and Forecasting across Turkey: A Contemporary Review (2023)

5. %45
   ALİ GÖDE

   Doktor Öğretim ÜyesiHatay Mustafa Kemal Üniversitesi

   Shared topics: Artificial Intelligence in Healthcare and Education · Resilience and Mental Health

   Overlapping papers: THE EFFECT OF HEALTHY LIFE STYLE BEHAVIOR ON PSYCHOLOGICAL RESILIENCE OF ASSOCIATE DEGREE STUDENTS RECEIVING HEALTH EDUCATION AFTER EARTHQUAKE (2024) · EXAMINING THE RELATIONSHIP BETWEEN E-HEALTH LITERACY AND RATIONAL DRUG USE: A STUDY ON UNIVERSITY STUDENTS (2023)

6. %45
   CEMRE POLAT

   Doktor Öğretim ÜyesiAnkara Medipol Üniversitesi

   Shared topics: Law, AI, and Intellectual Property · Smart Grid Security and Resilience

   Overlapping papers: Is Turkish Copyright Law Well-Equipped to Handle Artificial Intelligence? (2025)

7. %45
   GÜLHAN ÖZDOĞAN SARIKOÇ

   Doktor Öğretim ÜyesiAmasya Üniversitesi

   Research topics: Hydrological Forecasting Using AI · Atmospheric chemistry and aerosols · Air Quality and Health Impacts

   Overlapping papers: Reservoir Volume Forecasting Using Artificial Intelligence-Based Models: Artificial Neural Networks, Support Vector Regression, and Long Short-Term Memory (2023) · Artificial intelligence applications in the field of streamflow: a bibliometric analysis of recent trends (2024)

8. %45
   VOLKAN HACISÜLEYMAN

   Öğretim Görevlisi (ders Vermekle Görevli)Bilecik Şeyh Edebali Üniversitesi

   Shared topics: Climate change impacts on agriculture

9. %44
   BUĞRAYHAN BİÇKİCİ

   Doktor Öğretim Üyesiİstanbul Medeniyet Üniversitesi

   Shared topics: Climate variability and models

   Overlapping papers: Streamflow Intervals Prediction Using Coupled Autoregressive Conditionally Heteroscedastic With Bootstrap Model (2025)

10. %44
    GAMZE TUNCER EVCİL

    Araştırma GörevlisiSakarya Üniversitesi

    Shared topics: Climate variability and models

    Overlapping papers: Long-Term Temperature and Precipitation Trends in the Turkish Section of the Euphrates-Tigris Basin (2026) · Climate Change Effects on Precipitation and Streamflow in the Mediterranean Region (2025)

11. %43
    CANSU KADAKOĞLU

    Araştırma GörevlisiMalatya Turgut Özal Üniversitesi

    Shared topics: Climate Change Policy and Economics

12. %41
    CEM ÖZKURT

    Doktor Öğretim ÜyesiSakarya Üniversitesi

    Shared topics: Explainable Artificial Intelligence (XAI)

    Overlapping papers: Improving Tuberculosis Diagnosis using Explainable Artificial Intelligence in Medical Imaging (2024) · Machine learning-assisted evaluation of PVSOL software using a real-time rooftop PV system: a case study in Kocaeli, Turkey, with a focus on diffuse solar radiation (2025)

13. %40
    GAMZE YÜKSEL

    Doktor Öğretim ÜyesiAmasya Üniversitesi

    Shared topics: Disaster Management and Resilience · Climate Change, Adaptation, Migration

14. %40
    MEHMET ALİ YURDUSEV

    ProfesörManisa Celâl Bayar Üniversitesi

    Research topics: Hydrological Forecasting Using AI · Water resources management and optimization · Energy Load and Power Forecasting

    Overlapping papers: Reply to discussion on River flow estimation from upstream flow records by artificial intelligence methods by M E Turan and M A Yurdusev J Hydrol 369 2009 71 77 (2011) · River flow estimation from upstream flow records by artificial intelligence methods (2009)

15. %40
    NEVRA KAZANCI

    DoçentSakarya Üniversitesi

    Shared topics: Disaster Management and Resilience

    Overlapping papers: AI-Based Call Center Management (2024)

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.