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

研讨会：在微生物和微生物生态学的界面上融合统计理论和分析

• 批准号: 2224331
• 负责人: Mathew Leibold
• 金额: $ 4.99万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-01 至 2024-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2224331&HistoricalAwards=false
• 关键词: Workshop; Merging; Statistical; Theory; Analyses

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.

最近的进展使得对物种相互作用的复杂影响作出预测和分析来自自然界的复杂数据成为可能。问题在于，预测和复杂数据分析结果之间的联系并不总是清晰的。本次研讨会将汇集统计学家、理论家和经验科学家，他们在研究方法中使用过程到模式的联系。目标是改善这些研究领域的整合，以便更好地了解它们如何影响微生物和“微生物”有机体。该项目更广泛的影响是培养早期职业科学家，如研究生、博士后和助理教授，并提供有助于在不断变化的世界中更好地管理自然资源的工具。第一次研讨会将确定将理论、统计和实证分析联系起来的有前途的方法。在研讨会期间，与会者还将讨论如何最好地应对可能的挑战。第二个面向更广泛的科学界开放的虚拟研讨会将进一步扩展和丰富最初的发现。在短期内，该项目的目的是审查目前的发现和有希望的未来方向。从长远来看，该项目设想巩固和加强可以推动未来社区生态学和生态进化动力学研究的方法。该奖项反映了美国国家科学基金会的法定使命，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。