Collaborative Research: A Workshop on Pre-emergence and the Predictions of Rare Events in Multiscale, Complex, Dynamical Systems

虽然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最紧迫的挑战之一，需要创新的见解和做法。大流行是通过偶然的“完美风暴”出现的：病原体的分子变化、气候的渐进趋势、潜在宿主之间生态相互作用的微妙变化，甚至是人们个人的行为决定，所有这些都是为了弥补一种有趣但罕见的已知疾病的新变种与一场事关生存的全球危机之间的差异。因此，要能够预测大流行威胁的出现，需要一种完全综合的、多学科的方法，能够考虑到这些领域在各种相互作用范围内的复杂性，以预测并在理想情况下进行预防。这次研讨会将包括来自生物学、数学、工程学、计算机科学、生态学和社会科学等不同学术领域的专家，他们将齐聚一堂，讨论如何将每个社区采取的方法整合成一门更有效、更统一的大流行预测科学。讨论将利用疾病生态学、计算生物学和生物物理学、信息和网络科学、传感和统计学方面的最新进展来分析相关数据，从而能够推断难以测量的信息，并整合实时观察、计算和实验。研讨会旨在形成大流行防备的新科学基础，确定需要解决的科学差距，并讨论如何设计解决方案，以预期多学科使用的方式填补这些差距。与会者将考虑如何构建综合和多学科框架，以便能够更好地洞察大流行出现的基本过程，并将这些洞察转化为预防和/或减轻大流行威胁的实用工具。预计研讨会将产生具体建议，说明关键和多样化的相关领域如何共同推进，以提高全球安全，防范未来的大流行。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Although pandemics have threatened human civilization since ancient times, how to predict and prevent them remains one of the most pressing challenges, calling out 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 even 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 will include experts from otherwise disparate scholarly communities in biology, mathematics, engineering, computer science, ecology and social science to come together and discuss how to integrate the approaches taken by each community into a more effective, unified science of pandemic prediction. Discussions will leverage recently developed advances in disease ecology, computational biology and biophysics, information and network science, sensing, and statistics to analyze pertinent data, enabling inference of difficult-to-measure information and the integration of real-time observation, computation, and experimentation. The workshop aims at formulating a new science base on pandemic preparedness, identifying scientific gaps that need to be addressed, and discussing how to design solutions to fill those gaps in ways that anticipate multidisciplinary use. Participants will consider how to construct integrative and multidisciplinary frameworks to enable better insights into the fundamental processes of pandemic emergence and translate those insights into practical tools for preventing and/or mitigating pandemic threats. It is anticipated that the workshop will result into concrete recommendations for how the critical and diverse relevant fields can move forward together to increase global safety, guarding against 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.