Conference: Computational Approaches for Contagion on Complex Social Systems

传染过程是对某种东西在系统中传播方式的数学描述。在一个事物在人与人之间传播的社会制度中，传播的可能是流行病、思想和观点，或者激进化和两极分化。了解这类过程非常重要，原因有很多，不仅包括对基础科学的贡献，还包括制定有效的公共政策和维护国家安全。该奖项为“复杂社会系统传染的计算方法”会议(CACCSS)提供资金。这次会议促进了围绕复杂社会系统中传染病模型的新型计算工具的思想交流。会议以演讲者为特色，他们将就流行病建模、错误信息传播、高阶传染和行为模型等主题进行演讲。会议还致力于就这些主题对与会者进行培训，并使用有助于分析传染病数据的软件。研讨会将促进计算工具的使用，这些工具将有助于具有各种背景的研究人员对复杂系统中的传染病进行建模。该奖项资助学生、博士后和初级教员参加研讨会的旅费，并培训年轻的研究人员为这一重要研究领域做出贡献。它支持来自代表性不足群体的研究人员的可及性和包容性，并通过这样做增加了该领域研究人员的多样性。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。

Contagion processes are mathematical descriptions of the way something spreads through a system. In a social system, in which things spread from person to person, what spreads might be an epidemic, ideas and opinions, or radicalization and polarization. Understanding these kinds of processes is important for many reasons, including not only contributions to basic science but also the development of effective public policy and the preservation of national security. This award provides funding for the conference “Computational Approaches for Contagion on Complex Social Systems” (CACCSS). The conference promotes the exchange of ideas around novel computational tools for the modeling of contagion in complex social systems. The conference features speakers who will give talks on topics including epidemic modeling, misinformation spread, higher-order contagion, and behavioral models. The conference is also dedicated to training participants on these topics and the use of software that facilitates the analysis of contagion data.The workshop will promote the use of computational tools that will facilitate modeling of contagion in complex systems for researchers with a wide variety of backgrounds. The award subsidizes the travel of students, postdocs, and junior faculty to attend the workshop, and trains young researchers to contribute to this important area of research. It supports accessibility and inclusion of researchers from underrepresented groups, and in so doing increases the diversity of researchers in this field.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.