COMPliaNCEComputational approach that embeds Medical and Psychological research and developsNormative Criteria for socio-economic policy Evaluation

合规性嵌入医学和心理学研究并制定社会经济政策评估规范标准的计算方法

• 批准号: 458338078
• 负责人: Professor Dr. Wilhelm Hofmann
• 金额: --
• 依托单位: Lehrstuhl für Sozialpsycholgie
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/458338078?language=en
• 关键词: COMPliaNCEComputational; approach; embeds; Medical; Psychological

Considering the challenges posed by the outbreak and spread of pandemics in modern economies and societies, and the evidence that the economic, social, psychological and health perspectives are tightly coupled, our proposed research project aims at studying the complexity of pandemics from an integrated multidisciplinary perspective. The core of this multidisciplinary project is to develop an agent-based computational model. Agent-based models are a common tool to analyze epidemics; moreover, it will allow us to combine different research areas' expertise and develop and explore the causal link among various factors. By including the medical perspective, the project will study the mechanisms according to which a disease spreads, predicts the future course, and evaluates strategies to control a pandemic's spread. Research in the psychological area will help model the social granularity and heterogeneity of the population, the complexity of the interactions and behavioral contagion, and herding that could work as amplifiers or dampeners in times of pandemics. Contributions from ethical research will provide insights into how values and ethical principles are embedded in policies and policymaking and their effects on decision-making. Finally, economic analysis will address the issues of the impact of pandemics on the economic dynamics of the Ruhr-area by considering different economic sectors, social and spatial clustering. The developed model will be used to study different socio-economic scenarios and the effectiveness of different policy mixes to tackle the pandemic and address economic recovery.

考虑到流行病的爆发和蔓延给现代经济和社会带来的挑战，以及经济、社会、心理和健康视角紧密结合的证据，我们提出的研究项目旨在从综合的多学科角度研究流行病的复杂性。这个多学科项目的核心是开发基于代理的计算模型。基于代理的模型是分析流行病的常用工具；此外，它将使我们能够结合不同研究领域的专业知识，发展和探索各种因素之间的因果关系。通过纳入医学角度，该项目将研究疾病传播的机制，预测未来的病程，并评估控制大流行传播的策略。心理领域的研究将有助于模拟人口的社会粒度和异质性、相互作用和行为传染的复杂性，以及在流行病时期可以起到放大器或抑制作用的羊群效应。伦理研究的贡献将深入了解价值观和伦理原则如何嵌入政策和政策制定及其对决策的影响。最后，经济分析将通过考虑不同的经济部门、社会和空间集群来解决流行病对鲁尔区经济动态的影响问题。开发的模型将用于研究不同的社会经济情景以及不同政策组合应对疫情和经济复苏的有效性。