2018 ENVR Workshop "Statistics for the Environment: Research, Practice and Policy"

该研讨会，环境统计：研究，实践和政策，将作为美国统计协会统计与环境（ENVR）部分的两年一度的研讨会，将于2018年10月11日至13日在北卡罗来纳州阿什维尔举行。该讲习班旨在实现三个主要目标：㈠为环境统计人员和从业人员提供一个交流思想、促进合作和讨论如何在环境实践和政策中增加统计的影响和使用的场所;（二）为环境统计学家和环境科学家提供了一个讨论和介绍环境和生态方面新的统计方法和新的研究成果的机会学科;以及（iii）提供新统计方法的培训，以解决环境和生态数据通常带来的一些统计和计算挑战。在第一天，将分别举办两个关于高性能计算和分层建模的短期课程。第二天和第三天将专门用于科学会议，邀请关于环境和生态数据统计方法及其应用的研究讲座。第二天结束时将举行一次投稿海报会议。在特邀会议上讨论的主题包括：统计方法来处理大规模的，空间相关的数据集和有效的计算策略;空间极端的统计模型;环境背景下因果推理的统计方法和理解环境暴露对人类健康和环境的（因果）影响，仅举几例。研讨会的最后一天将举行特邀小组讨论，重点讨论环境实践和政策方面的切实需求，并探讨开展有影响力的环境统计研究的可能途径。 关于研讨会的更多信息可在：http://community.amstat.org/envr/events/envr2018workshopThis奖项反映了NSF的法定使命，并已被认为值得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的支持。

The workshop, Statistics for the Environment: Research, Practice and Policy, will serve as the biennial workshop of the section on Statistics and the Environment (ENVR) of the American Statistical Association and will be held in Asheville, North Carolina, October 11-13, 2018. The workshop is designed to achieve three major goals: (i) provide a venue for environmental statisticians and practitioners to share ideas, facilitate collaboration and discuss ways to increase the impact and use of statistics in environmental practice and policy; (ii) provide an opportunity for environmental statisticians and environmental scientists to discuss and present novel statistical methods and new research findings in environmental and ecological disciplines; and (iii) provide training in new statistical methods developed to address some of the statistical and computational challenges typically posed by environmental and ecological data.The workshop will span two and a half days. During the first day, two short courses on high performance computing and hierarchical modeling, respectively, will take place. The second and third day will be devoted to scientific sessions with invited research talks on statistical methods for environmental and ecological data as well as applications. A contributed poster session will be held at the end of the second day. Topics discussed in the invited sessions include: statistical methods to handle massive, spatially correlated datasets and strategies for efficient computing; statistical models for spatial extremes; statistical methods for causal inference in an environmental context and understanding the (causal) effects of environmental exposures on human health and the environment, to name a few. The last day of the workshop will feature an invited panel discussion that will highlight cogent needs in environmental practice and policy and will examine possible avenues for impactful environmental statistics research. More information on the workshop is available at: http://community.amstat.org/envr/events/envr2018workshopThis 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.