GTAP’s development is anchored in an extensive literature review conducted by van der Horst, which analyzed over 200 gray and published sources. This review identified critical gaps in existing climate and health research while underscoring the potential of emerging technologies like artificial intelligence (AI) and machine learning (ML) to bridge these gaps. The integration of AI/ML technologies within GTAP’s design empowers the platform to deliver innovative solutions and predictive insights, ensuring it remains responsive to the evolving global climate-health landscape.

Building on the findings of the literature review, van der Horst also developed a GTAP comprehensive implementation roadmap, focused on leveraging cutting-edge generative AI/ML strategies. These AI/ML tools will enable the platform to process vast amounts of climate and health data, generate actionable insights for both mitigation and adaptation strategies, and support decision-making across various levels—from pan-regional to national. This state-of-the-art approach ensures that GTAP is adaptive, scalable, and capable of responding to emerging trends and challenges in the climate-health nexus.

Additionally, an in-depth stakeholder engagement process, led by van der Horst, was crucial to shaping the platform. Consultations with representatives from multilateral development banks, academia, civil society, government agencies, and the private sector ensured that GTAP addresses diverse stakeholder needs. This collaborative process laid the foundation for a sustainable, long-term roadmap that aligns GTAP’s functionalities with real-world requirements.