North American Meeting of New Researchers in Statistics and Probability
North American Meeting of New Researchers in Statistics and Probability
批准号:
8006025
负责人:
Samiran Sinha
金额:
$1.65万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-07-26 至 2011-06-30
关键词:
AmericanAreaBiometryBiostatistical MethodsBritish ColumbiaCategoriesDataData AnalysesDevelopmentDisabled PersonsDoctor of PhilosophyEducational process of instructingEnvironmentFloridaFundingGoalsGrowthHousingHuman Resources DevelopmentIndustryInstitutesJointsJournalsLaboratoriesMentorsMethodsMinorityParticipantProbabilityProfessional EducationPublic HealthPublicationsResearchResearch PersonnelSeriesStatistical MethodsUniversitiesWomanWorkbasedesigninterestmeetingsposterspublic health relevanceresearch studystatisticssymposiumtheories
中文摘要
描述(由申请人提供):本提案描述了统计和概率新研究人员第十三次和第十四次会议的计划,这是由数理统计研究所主办的一系列会议,由初级研究人员组织和举行。主要目的是为新研究人员之间的互动提供一个急需的场所。与大型会议相比,本次会议的规模将受到限制,目标是85 - 90名与会者。会议之后将进行小组讨论和休息,以促进互动。
2010年,拟议的会议将于7月27日至7月30日在温哥华的不列颠哥伦比亚省大学举行,紧接着在温哥华举行年度联合统计会议。住宿,膳食和会议设施将在校园内提供。2011年将于7月25日至7月29日在佛罗里达的迈阿密举行。
参与者将是统计学家和概率学家,他们获得了博士学位。在过去的五年内,或者希望在明年内获得学位。每位参与者将发表演讲或海报。主题将涵盖统计研究的各个领域,从理论和方法到应用。资深演讲者将讨论新研究人员特别感兴趣的主题。会议期间的小组讨论将涵盖期刊出版物,统计实验室和行业的机会,资金,指导和教学等主题。
智力价值:本提案的智力价值基于人力资源开发。新研究人员的专业发展是通过促进他们的互动,建立同事网络(这在大型会议上通常很难,如JSM)来刺激的。参与者在一个更小、更可控的会议环境中展示他们的工作,最大限度地提高他们的智力互动和成长。
更广泛的影响:这一系列会议的更广泛影响包括与会者的专业发展和鼓励代表性不足的群体参与。会议的主要目标是新研究人员的专业教育,并帮助在这些初级研究人员之间建立网络,这两者都是专业成长的重要组成部分。明确鼓励妇女、少数民族和残疾人参加,我们在吸引这些类别的参与者方面有着良好的记录。
公共卫生相关性:统计方法用于收集数据,设计实验,分析数据和解释结果。在公共卫生研究中,我们收集不同类型的数据,并分析它们,并从数据中得出有效的科学结论,我们需要适当的统计方法,更具体地说,生物统计方法。将有许多关于生物统计学的讲座和演讲,并应用于公共卫生,这反过来又丰富了公共卫生的研究。
英文摘要
DESCRIPTION (provided by applicant): This proposal describes plans for the Thirteenth and Fourteenth Meeting of New Researchers in Statistics and Probability, a conference series sponsored by the Institute of Mathematical Statistics, to be organized by and held for junior researchers. The primary objective is to provide a much needed venue for interaction among new researchers. In contrast with large meetings, this conference will be restricted in size, with a target of 85-90 participants. Sessions will be followed by panel discussions and breaks to facilitate interactions.
In 2010 the proposed conference will take place during July 27 - July 30, at the University of British Columbia, Vancouver, immediately precede the annual Joint Statistical Meetings (JSM) in Vancouver. Housing, meals, and conference facilities will be provided on campus. In 2011 it will take place from July 25 to July 29, in Miami, Florida.
Participants will be statisticians and probabilists who have received their Ph.D. within the past five years or are expecting to receive their degree within the next year. Each participant will present a talk or poster. Topics will range across a variety of areas in statistical research from theory and methods to applications. Senior speakers will discuss topics of particular interest to new researchers. Panel discussions during the conference will cover the topics of journal publications, opportunities in statistics laboratories and industry, funding, mentoring, and teaching.
Intellectual merit: The intellectual merit of this proposal is based on its human resource development. The professional development of new researchers is stimulated by promoting their interaction, creating networks of colleagues (which is usually difficult at a large meeting, such as the JSM). Participants present their work in a smaller, more controlled conference environment, maximizing their intellectual interaction and growth.
Broader Impact: The broader impacts of this conference series include professional development for attendees and the encouragement of participation by under-represented groups. The primary goals of the conference are professional education of new researchers and to help create a network among these junior researchers, both are vital parts of professional growth. Women, minorities, and the disabled are explicitly encouraged to attend, and we have an established track record of attracting participants from these categories.
PUBLIC HEALTH RELEVANCE: Statistical methods are used for collecting data, designing an experiment, analyzing data, and interpreting the results. In the study of public health we gather different types of data, and to analyze them and for making valid scientific conclusions from data we need proper statistical methods, more specifically biostatistical methods. There will be many talks and presentations on biostatistics with application to public health, which in turn enrich the research on public health.
期刊论文(0)
专著(0)
科研奖励(0)
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依托单位:
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