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.

考虑到大流传学在现代经济和社会中的爆发和传播所带来的挑战，以及我们拟议的研究项目旨在从综合的多学科角度研究大流程学的复杂性。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见工具。此外，这将使我们能够结合不同的研究领域的专业知识，并在各种因素之间发展和探索因果关系。通过包括医学观点，该项目将根据疾病传播，预测未来的过程并评估控制大流行蔓延的策略的机制。心理领域的研究将有助于建模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大流行时期可以作为放大器或减震器起作用的放牧。道德研究的贡献将提供有关如何将价值观和道德原则嵌入政策和决策及其对决策的影响中的见解。最后，经济分析将通过考虑不同的经济部门，社会和空间聚类来解决大流行病对Ruhr地区经济动态的影响的问题。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以应对大流行和解决经济复苏的有效性。