IISA 2018: From Data to Knowledge, Working for a Better World

该奖项支持将于2018年5月17日至5月20日在佛罗里达大学盖恩斯维尔分校举行的为期四天的2018年国际会议--IISA 2018：从数据到知识，为更美好的世界而努力。这次会议将汇集来自统计/生物统计学、概率和数据科学不同领域的统计学家，在一个协作的环境中讨论和促进统计理论、方法和工具的最新发展，以便从复杂和嘈杂的数据源做出准确的推断。这笔资金将用于支付一些博士生和年轻研究人员的部分费用，他们将在这次会议上展示他们的研究成果。会议的主题是讨论和促进统计理论、方法和工具的前沿发展，以便从复杂和嘈杂的数据来源做出准确的推断。本次会议的全体演讲者包括蒙特塞拉特·富恩特斯(弗吉尼亚联邦大学)、希拉·库尔(密歇根州立大学)和赛勒斯·梅塔(Cytel Inc.)。此外，七名研究人员将进行特邀演讲。一些初级研究人员将有机会在受邀的会议上发言。博士生将有机会在竞争性的基础上进行口头陈述。还将安排学生海报比赛。更多详细信息，请访问会议网站：http://iisa2018.biostat.ufl.edu/.This奖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。

This award supports a four day 2018 international conference titled "IISA 2018: From Data to Knowledge, Working for a Better World" which will take place at the University of Florida, Gainesville, Florida, from May 17 - May 20, 2018. This conference will bring together statisticians from diverse areas of statistics/biostatistics, probability and data science in a collaborative setting to discuss and foster the latest developments of statistical theory, methods and tools for making accurate inference from complex and noisy data sources. The grant funding will be used to cover partial costs of a number of doctoral students and young researchers who will present their research at this conference. The theme of the conference is to discuss and foster the cutting-edge developments of statistical theory, methods and tools for making accurate inference from complex and noisy data sources. Plenary speakers for this conference include Montserrat Fuentes (Virginia Commonwealth University), Hira Koul (Michigan State University), and Cyrus Mehta (Cytel Inc). In addition, seven researchers will be giving Special Invited Talks. A number of junior researchers will be given the opportunity to present in invited sessions. Doctoral students will have an opportunity to give oral presentations on a competitive basic. A student poster competition will also be arranged. For further details, please visit the conference web-site: http://iisa2018.biostat.ufl.edu/.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.