Collaborative Research: Predictive Intelligence for Pandemic Prevention, Theme 4: Social and Behavioral Obstacles and Supports

合作研究：流行病预防的预测情报，主题 4：社会和行为障碍与支持

• 批准号: 2118926
• 负责人: James Jones
• 金额: $ 5.39万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-02-15 至 2022-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2118926&HistoricalAwards=false
• 关键词: Collaborative; Research; Predictive; Intelligence; Pandemic

Although pandemics have threatened human civilization since ancient times, how to predict and prevent them remains a pressing challenge, calling for innovative insights and practices. Pandemics emerge through incidental ‘perfect storms’: molecular changes in pathogens, gradual trends in climate, subtle shifts in ecological interactions among potential hosts, and individual behavioral decisions by people, all colluding to make up the difference between an interesting but rare new variant of a known disease and an existential worldwide crisis. Being able to predict the emergence of pandemic threats, therefore, requires a fully integrated, multidisciplinary approach, able to consider the complexity of these realms across scales of interaction to predict and, ideally, prevent. This workshop is one of four bringing experts from scholarly communities in the social and behavioral sciences, biology, engineering, and computer science together to discuss how to integrate the approaches taken by each community into a more effective, unified science of pandemic prediction. The focus of this workshop is on developing understanding of how human attitudes, social behavior, and the drivers underlying both shape patterns of infectious-disease transmission and efforts at control and eradication. This fundamental understanding in turn will facilitate pandemic prevention and control decisions that leave us better prepared when confronted with future pandemic threats.The workshop is structured to focus on four topical areas of crucial importance, dealing with cultural transmission, information and communication, equity, and sustainability. The white paper that comes from this workshop will provide important guidance for incorporating insights into the social and behavioral sciences into predictive intelligence and pandemic prevention. It will inform future research investments, institutional capacity-building, and other policy priorities aimed at keeping the US and the world safe from inevitable future pandemics.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

尽管自古以来大流行者威胁着人类文明，但如何预测和防止它们仍然是一个紧迫的挑战，呼吁创新的见解和实践。大流行者通过偶然的“完美风暴”出现：病原体的分子变化，气候的年级趋势，潜在宿主之间生态相互作用的细微转变以及人们的个人行为决定，所有这些都勾结出来，以弥补已知疾病的有趣但罕见的新变体与现有的全球危机之间的差异。因此，能够预测大流行威胁的出现需要一种完全整合的多学科方法，能够考虑这些领域跨互动范围的复杂性，以预测并理想地预防。该研讨会是将社会和行为科学，生物学，工程学和计算机科学领域科学社区的四个专家共同讨论如何将每个社区所采取的方法整合到一个更有效，统一的大流行预测科学中。该研讨会的重点是发展对人参与者，社会行为以及如何形成感染性疾病传播以及控制和根除努力的驱动因素的理解。这种基本的理解反过来将准备大流行的预防和控制决策，这使我们在面对未来的大流行威胁时做好了准备。该研讨会的结构是专注于四个至关重要的主题领域，以处理文化传播，信息和沟通，公平，公平和可持续性。来自该研讨会的白皮书将为将社会和行为科学的见解纳入预测智力和大流行预防中提供重要的指导。它将为未来的研究投资，机构能力建设以及其他旨在确保美国和世界免受不可避免的未来大流行的政策优先事项提供信息。该奖项反映了NSF的法定使命，并通过使用基金会的知识分子优点和更广泛的影响审查标准，通过评估来诚实地支持支持。