Bilim-Politika Arayüzü: Veriye Dayalı Çevre ve Halk Sağlığı Yönetimi

Environmental problems, climate change, and public health risks are among the most important policy agendas on a global scale today. In this context, the science-policy interface stands out as a strategic mechanism for transferring scientific knowledge to policy processes to more effectively manage environmental threats and health problems. The aim of this study is to examine how data- driven approaches are implemented in environmental and public health management at the science-policy interface and to offer recommendations for policymakers and practitioners based on national and international experiences. The study is based on a literature review method. The study presents findings related to the science-policy interface in environmental and public health management under five main headings. First, the relationship between scientific knowledge and policy processes is often intermittent, and the lack of sustainable collaboration mechanisms is noteworthy. Significant gaps exist in data-driven decision-making processes. The separate collection of environmental and health data at different institutions hinders integrated management and limits interdisciplinary integration. This deficiency negatively impacts the applicability of the One Health approach. Second, knowledge brokerage mechanisms appear to be insufficiently established at the institutional level. Scientific information often reaches policymakers through project-based reports, and this process is not supported by permanent structures. Thirdly, it appears that the dimensions of reliability, validity, and legitimacy required for the effective use of scientific information in policymaking are not always achieved simultaneously. While scientific reports may be methodologically sound, they struggle to gain social legitimacy due to a lack of stakeholder engagement. Fourthly, the strong relationship between ecosystem services and human health is not adequately reflected in policy documents. Important issues such as food security, air quality, and biodiversity loss are often addressed at a secondary level. Finally, the DPSIR model, widely used internationally to analyze the cause-and- effect relationships of environmental problems, appears to be insufficiently used in policy documents. The results suggest that the science-policy interface is increasingly strengthened in all national and international strategic documents, but that implementation requires further development in the areas of data integration, information brokering, and stakeholder engagement. Recommendations for academia include encouraging interdisciplinary research, increasing information brokering efforts, and strengthening international collaborations. In terms of implementation, it is important to adopt integrated data systems, institutional information intermediation mechanisms, ecosystem-based health policies and the DPSIR model at national and international levels.