Integrating broad and deep multiple-stressor research

Pereira Santos, Alexandre ; Rodriguez Lopez, Juan Miguel; Peng, Yechennan und Scheffran, Jürgen (18. Oktober 2024): Integrating broad and deep multiple-stressor research. A framework for translating across scales and disciplines. In: One Earth, Bd. 7, Nr. 10: S. 1713-1726

Abstract

Despite the intense hazard interactions in the Anthropocene, risk research is often limited by disciplinary approaches and single-sector or scale analyses, skewing policy advice toward biased, misguided, and unfair outcomes. Research has been locked in a trade-off between reductionism, ignoring the often-conflictive local contexts, and the holistic imperative, which has been a complex and intractable problem. Here, we provide a framework that embraces the complexities of integrating mixed methods, societal sectors, and analytical scales by using a translator agent-based model. This approach innovates by treating the informational transfers explicitly and dialoguing with different disciplines. We implement it to analyze COVID-19 in Brazil, and our mixed top-down and bottom-up evidence markedly differentiates exposure and vulnerability across social classes. This framework overcomes disciplinary siloing, accounts for cross-sectoral losses, and tracks feedback between environmental and social factors. These innovations are key for promoting evidence-based and context-sensitive policies essential for fairer and more effective adaptation.

• Dokumententyp: Zeitschriftenartikel
• Keywords: multiple stressors; compound hazards; systemic risks; mixed methods; transdisciplinary research; health risks; climate risks; agent-based modeling
• Fakultät: Geowissenschaften > Department für Geographie
• Themengebiete: 500 Naturwissenschaften und Mathematik > 550 Geowissenschaften, Geologie
• ISSN: 25903322
• Sprache: Englisch