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: 2119078
• 负责人: Vivek Singh
• 金额: $ 2.58万
• 依托单位: Rutgers University New Brunswick
• 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=2119078&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.

尽管大流行病自古以来就威胁着人类文明，但如何预测和预防它们仍然是一个紧迫的挑战，需要创新的见解和实践。流行病通过偶然的“完美风暴”出现：病原体的分子变化、气候的逐渐趋势、潜在宿主之间生态相互作用的微妙变化以及人们的个人行为决定，所有这些都串通起来，以弥补一种有趣但罕见的新变种之间的差异已知疾病和世界范围内的生存危机。因此，要想预测大流行威胁的出现，就需要采取一种全面综合的多学科方法，能够考虑这些领域在相互作用的各个层面上的复杂性，以进行预测，并在理想情况下进行预防。 本次研讨会是四次研讨会之一，来自社会和行为科学、生物学、工程学和计算机科学学术界的专家聚集在一起，讨论如何将每个社区采取的方法整合到一个更有效、统一的流行病预测科学中。 本次研讨会的重点是了解人类的态度，社会行为，以及两者的驱动因素如何形成传染病传播模式以及控制和根除的努力。 这一基本认识反过来将有助于作出预防和控制大流行病的决定，使我们在面对未来的大流行病威胁时做好更充分的准备。讲习班的结构侧重于四个至关重要的专题领域，涉及文化传播、信息和传播、公平和可持续性。来自本次研讨会的白色文件将为将社会和行为科学的见解纳入预测情报和流行病预防提供重要指导。 它将为未来的研究投资、机构能力建设和其他政策优先事项提供信息，旨在使美国和世界免受未来不可避免的流行病的影响。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。