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Algebraic Statistics 2020

2020年代数统计

基本信息

批准号：
2004271
负责人：
Elizabeth Gross
金额：
$ 3.42万
依托单位：
University of Hawaii
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-06-15 至 2022-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2004271&HistoricalAwards=false
关键词：
Algebraic Statistics 2020

项目摘要

Algebraic Statistics 2020 (AS2020) will be held June 22--June 26, 2020 at the University of Hawaii at Manoa in Honlulu, HI. The five-day conference at the University of Hawaii at Manoa aims to achieve four objectives: 1) provide a forum for algebraists, mathematical biologists, and statisticians to learn about recent advances in the field and share their current challenges; 2) broaden participation in algebraic statistics in terms of gender, race, ethnicity, institution type, geography, and scientific discipline; 3) train junior researchers in this interdisciplinary area, which requires exposure to both algebra and statistics; and 4) foster collaboration with international researchers, specifically those from Japan, who have been making fundamental progress in the field in the last two decades. Algebraic statistics is an interdisciplinary field that uses tools from commutative algebra, geometry, and combinatorics to address problems in mathematical statistics. The main applications in the last decade have focused on data science, biology, and engineering. Algebraic Statistics 2020 will feature nine keynote speakers, from the US and abroad, three problem sessions led by established researchers in the field to engage junior researchers and those interested in learning more about algebraic statistics, contributed talks, and a poster session. The conference website is http://bit.ly/AlgebraicStatistics2020.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.

代数统计2020（AS 2020）将于2020年6月22日至6月26日在夏威夷州檀香山的马诺阿夏威夷大学举行。为期五天的会议在夏威夷大学马诺阿分校举行，旨在实现四个目标：1）为代数学家，数学生物学家和统计学家提供一个论坛，以了解该领域的最新进展，并分享他们目前的挑战; 2）扩大代数统计学在性别，种族，民族，机构类型，地理和科学学科方面的参与; 3）在这一跨学科领域培养初级研究人员，这需要接触代数和统计学; 4）促进与国际研究人员的合作，特别是来自日本的研究人员，他们在过去二十年中在该领域取得了根本性的进展。代数统计学是一个跨学科的领域，它使用交换代数，几何和组合学的工具来解决数理统计中的问题。过去十年的主要应用集中在数据科学、生物学和工程学上。2020年的代数统计将有来自美国和国外的九位主题演讲者，由该领域的知名研究人员领导的三个问题会议，以吸引初级研究人员和那些有兴趣了解更多关于代数统计的人，贡献的演讲和海报会议。会议网站是http://bit.ly/AlgebraicStatistics2020.This奖反映了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。