Workshop: Merging Statistical Theory and Analyses at the Interface of Microbial and Macrobial Ecology

最近的进展使预测物种相互作用的复杂影响和分析来自自然的复杂数据成为可能。问题是，预测和复杂数据分析结果之间的联系并不总是清晰的。这次研讨会将把统计学家与在他们的研究方法中使用过程与模式联系的理论家和经验主义科学家聚集在一起。目标是改进这些研究领域的整合，以更好地了解它们可能如何影响微生物和‘大型’生物体。该项目的更广泛影响是培训早期职业科学家，如研究生、博士后和助理教授，并提供工具，帮助在不断变化的世界中更好地管理自然资源。第一期研讨会将确定将理论分析、统计分析和实证分析联系起来的有前景的方法。在本讲习班期间，与会者还将讨论如何最好地应对可能的挑战。向更广泛的科学界开放的第二个虚拟研讨会将进一步扩大和丰富最初的发现。在短期内，该项目的目的是对当前的研究结果和有希望的未来方向进行审查。从长远来看，该项目设想巩固和加强能够推动未来社区生态学和生态进化动态研究的方法。这一奖项反映了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。

Recent progress has made it possible to make predictions about the complex effects of species interactions and to analyze complex data from nature. The problem is that the connections between the predictions and the results of complex data analysis are not always clear. This workshop will bring together statisticians with theoreticians and empirical scientists who use process-to-pattern links in their research approaches. The goal is to improve the integration of these areas of research to better understand how they might affect both microbial and ‘macrobial’ organisms. The broader impacts of the project are to train early career scientists such as graduate students, post-docs, and assistant professors and to provide tools that can help develop better management of natural resources in a changing world. The first workshop will identify promising approaches to link theory, statistical, and empirical analysis. During this workshop participants will also discuss how to best address possible challenges. A second virtual workshop, open to the broader science community, will further expand and enrich the initial findings. In the short term, the project is aimed at producing a review of current findings and promising future directions. In the longer term the project envisions to solidify and enhance the methodologies that can drive future research in community ecology and eco-evolutionary dynamics.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.