课题基金 / 基金详情

Statistical and Applied Mathematical Sciences Institute

Statistical and Applied Mathematical Sciences Institute
统计与应用数学科学研究所
批准号:
1638521
负责人:
M Forest
金额:
$929.2万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-01 至 2022-08-31

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中文摘要
翻译
统计与应用数学科学研究所(SAMSI)是一个国家研究所,它融合了统计和数学思维,为基础科学和社会问题创造了高影响力的理论和方法。它通过促进和培养其核心学科(统计学、概率论和应用数学)之间的合作,以及这些学科与物理、社会和工程科学以及其他定量学科(如计算机科学和运筹学)之间的合作来实现这一目标。SAMSI招收各个职业阶段的研究人员,从研究生到博士后,再到高级国际领导人,他们从SAMSI获得了扩展的思维模式、新的愿景和能量,以及使合作得以持续的动力。在2017-2020年期间,SAMSI的项目范围响应了国家需求,来自统计和数学界的推动,以及具有潜在高影响力的科学机会。程序处理诸如天体物理学和环境、医疗保健中的数据驱动决策、高维数据结构识别以及其他有待确定的主题等上下文中的大量数据集。广泛的教育和推广活动,特别是针对本科生、教学机构的教师和代表性不足的少数民族,提高了公众对数学科学的重要性和成就的认识。SAMSI是一个通过促进和支持统计学家、应用数学家以及自然科学和社会科学研究人员之间的合作来促进科学和社会发展的国家研究所。其目标是解决最具挑战性和影响深远的数据驱动问题,如其即将开展的项目,如天体物理学和环境中的海量数据集,医疗保健中的数据驱动决策,高维数据中的识别结构以及社会科学中的计算建模。SAMSI的运作方式是将各个层次的研究人员——学生、博士后研究员和高级领导——聚集在一起,组成团队,在SAMSI项目中取得实质性进展,并形成未来合作的基础。它鼓励处于职业生涯各个阶段的人们以不同的方式思考应用数学和统计学的作用和力量。一个充满活力的教育和推广计划使用SAMSI的研究,以呈现数学科学的重要性和成就的本科生,教授在教学学院,和一般公众。SAMSI活动的主要内容是努力增加代表性不足的少数民族在数学、统计和其他科学领域的参与。
英文摘要
The Statistical and Applied Mathematical Sciences Institute (SAMSI) is a national institute that merges statistical and mathematical thinking to create high impact theory and methodology for fundamental scientific and societal problems. It does so by catalyzing and nurturing collaborations both among its core disciplines -- statistics, probability, and applied mathematics -- and between those disciplines and the physical, social, and engineering sciences, as well as other quantitative disciplines such as computer science and operations research. SAMSI engages researchers at all career stages, from graduate students to postdoctoral fellows to senior international leaders, who take away from SAMSI expanded modes of thought, new vision and energy, and momentum enabling collaborations initiated there to persist. The spectrum of SAMSI's programs over the period 2017-2020 responds to national needs, impetus from the statistics and mathematics community, and scientific opportunities with potential high impact. Programs address massive datasets in contexts such as astrophysics and the environment, data-driven decisions in healthcare, identification of structure in high-dimensional data, as well as other topics to be identified. A broad range of education and outreach activities, focused especially on undergraduates, faculty in teaching institutions, and under-represented minorities, builds greater public awareness of the importance and achievements of the mathematical sciences. SAMSI is a national institute that exists to advance science and society by catalyzing and supporting collaborations among statisticians, applied mathematicians, and researchers in the natural and social sciences. Its goal is to tackle the most challenging and far-reaching data-driven problems, as exemplified by its forthcoming programs on such topics as massive datasets in astrophysics and the environment, data-driven decisions in healthcare, identifying structure in high-dimensional data, and computational modeling in the social sciences. SAMSI operates by bringing together researchers at all levels -- students, postdoctoral fellows, and senior leaders -- into teams that both make substantial progress within SAMSI programs and form the basis of future collaborations. It stimulates people at all stages of their careers to think differently about the roles and power of applied mathematics and statistics in concert with one another. A vibrant education and outreach program uses SAMSI research to present the importance and achievements of the mathematical sciences to undergraduates, professors at teaching colleges, and the general public. SAMSI activities are permeated by efforts to increase the participation of under-represented minorities in mathematics, statistics, and other sciences.
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RAPID: A Lung Mucus Strategy for COVID-19 Viral Protection
Statistical and Applied Mathematical Sciences Institute
Collaborative Research: Computational Modeling of How Living Cells Utilize Liquid-Liquid Phase Separation to Organize Chemical Compartments
Collaborative Research: Kinetic to Continuum Modeling of Active Anisotropic Fluids
国内基金
海外基金
普林斯顿应用数学指南(The Princeton Companion to Applied Mathematics )的翻译与出版
  • 批准号:
    12226506
  • 项目类别:
    数学天元基金项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    程晓亮
  • 依托单位: