Updated on 26 June 2026
HORIZON-MISS-2027-01-CLIMA-02 - Collaboration Opportunity
R&D Specialist at Dogus Bilgi Islem ve Teknoloji Hizmetleri A.S.
İstanbul, Türkiye
About
As Doğuş Teknoloji, we can develop a GenAI-powered pipeline to support the Objective 1: AI for More Accessible Data.
We can develop an AI-powered platform that focuses on data collection, integration, and quality enhancement using Generative AI (GenAI) techniques. The goal is to make climate-related data more accessible and actionable for regional and local authorities.
Key Contributions:
• Data Aggregation & Quality Improvement:
Collect climate and environmental data from multiple sources (e.g., Eurostat, Copernicus Climate Data Store, local sensors, municipal databases) and apply AI-driven validation to improve data integrity and completeness.
• Generative AI for Data Accessibility:
Use GenAI models to summarize, explain, and visualize complex datasets in user-friendly formats for decision-makers.
• Interactive Decision Support:
Integrate an LLM-based assistant into the platform, enabling users to ask questions like “What areas are most vulnerable to heatwaves?” or “Which regions have the highest water stress risk?”.
• Training & Dissemination:
Provide tailored training materials and guidance for municipalities on leveraging AI for climate adaptation.
Stage
- Ideation - identifying the project idea
Type
- Offering Expertise to Consortias
Organisation
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- HORIZON-MISS-2026-01-CLIMA-04: Bridging the gap between disaster risk management and climate adaptation
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HORIZON-MISS-2027-03-OCEAN-01 - Collaboration Opportunity
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Ufuk Cem Çakır
R&D Specialist at Dogus Bilgi Islem ve Teknoloji Hizmetleri A.S.
İstanbul, Türkiye