Aleksandar S. Jovanovic Orden de los libros

Die Publikation stellt die Ergebnisse des internationalen Technologietransfer- und Kooperationsprojektes SafeChina („Promoting the EU and German standards and practices of Environmental Protection and Industrial Safety in China“) vor. Ziel des Projektes war es, eine Infrastruktur für Bildung, Ausbildung und Zertifizierung zu schaffen. Des Weiteren soll chinesischen Ingenieuren und anderen Fachkräften die Möglichkeit gegeben werden, mehr über EU HSE Methoden und Verordnungen zu erfahren und sich gemäß den EU Kriterien, Richtlinien und Methoden als Umwelt- und Sicherheitsingenieure zu qualifizieren. Die zentralen Partner dieses Projektes sind die Steinbeis-Hochschule Berlin / Steinbeis-Transfer-Institut Advanced Risk Technologies und die DEG mbH (Deutsche Investitions- und Entwicklungsgesellschaft mbH), eine Tochtergesellschaft der KfW. Die zentralen chinesischen Partner sind das Beijing Municipal Institute of Labour Protection und die Capital University of Economics and Business, Beijing.

As in the preceding years, the main purpose of the Conference was to provide a forum at which partners involved in the EU project iNTeg-Risk (“Early Recognition, Monitoring and Integrated Management of Emerging, New Technology Related, Risks”, openly and thoroughly discuss the results obtained so far in the project, both among themselves and with all other interested parties. This year, the Conference was focused on the presentation of the current iNTeg-Risk results: iNTeg-Risk early warning system RiskEars, emerging risk mapping (RiskAtlas of iNTeg-Risk), emerging risk management framework (iNTeg-Risk ERMF), methods and tools for emerging risk analysis. In addition, the topics of education in the area of risk engineering and management, joint activities with OECD and IRGC, and activities in the area of standardization including links to ISO 31000, CEN and DIN) were tackled.

This report develops a framework for understanding social unrest within the context of systemic risk. It aims to identify triggers (events leading to unrest) and drivers (causal roots) that contribute to its emergence. The analysis seeks to inform policy options to avoid, mitigate, or manage unrest. The framework enhances comprehension of the circumstances that may provoke social unrest, the intensity it may reach, and the interventions that could de-escalate or prevent it. Recognizing that social unrest is an escalating process rather than a fixed state, it is conceptualized through a step-by-step escalation scheme, detailing how unrest can intensify over time. To identify relevant drivers, three case studies are examined: pandemics, cyber-related risks, and financial crises, focusing on how these events have historically caused or could lead to unrest. An analytic model captures the combined effects derived from these case studies. Subsequently, the IRGC risk governance model is applied to explain and predict the consequences of social unrest. Finally, the report develops guidelines for normative governance concerning social unrest, aiming to provide actionable insights for policymakers.