Conference: The 25th Silver Anniversary Meeting of The International Environmetrics Society (TIES) Nov.21-25,2015,United Arab Emirates(UAE) University,Al Ain,United Arab Emirates

会议:国际环境计量学会(TIES)25周年银周年纪念会议,2015年11月21-25日,阿拉伯联合酋长国(UAE)大学,阿拉伯联合酋长国艾恩

基本信息

  • 批准号:
    1550435
  • 负责人:
  • 金额:
    $ 1.2万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-09-01 至 2016-02-29
  • 项目状态:
    已结题

项目摘要

1550435GelThe 25th Silver Anniversary Meeting of The International Environmetrics Society (TIES) to be held between November 21 -- 25, 2015 at the United Arab Emirates (UAE) University, Al Ain, United Arab Emirates, aims to provide an open interdisciplinary forum for cross-fertilization of ideas and enhancing cohesion between experts from statistics, environmental engineering, computer science, ecology, hydrology, social sciences, geography, and other environmental disciplines. The objective of the proposal is to request support for US graduate students, junior researchers and under-represented minorities working in the field of quantitative environmental sciences to participate at the 25th Annual Meeting of The International Environmetrics Society (TIES). The rampant growth of digital technologies and information storage have revolutionized the volume, velocity and variety of collected information, leading to the so-called "Big Data" paradigm. In turn, this alters the way in which environmental scientists sense and analyze the available information dramatically, and ignites an ever-increasing interest in the Big Data phenomenon virtually everywhere, from smart and sustainable cities to renewable energy to health and business analytics. However, Big Data is not only about managing massive data volumes, it is much more on developing pioneering ways to connect various knowledge domains and fuse information from non-traditional sources. Indeed, what is substantially less discussed at the workshops on Big Data is the whelm of new ground-breaking interdisciplinary links that emerge from these massive information volumes. For example, what is common between Facebook, natural disaster awareness and ecological foodwebs' Who is responsible for increasing house insurance rates: outdated building standards, city infrastructure or climate change, and what can be done in the short and long-term perspectives' In the era of massive multi-platform, multi-scale and multi-source data, there appear increasingly more such examples that fall well beyond the scope of any single discipline or field of research practice and that connect across domains with new fascinating capabilities. Such problems must be addressed simultaneously from different perspectives, ranging from modern statistical sciences to pure and applied studies of Earth systems and their exposure to physical and human influences to environmental engineering and public policy. TIES2015 conference will highlight an interdisciplinary dimension of modern environmental research and will facilitate a better understanding of implications of climate change on ecosystems, economics, policy and our society as a whole.
1550435Gel国际环境计量学会 (TIES) 25 届银周年纪念会议将于 2015 年 11 月 21 日至 25 日在阿拉伯联合酋长国艾恩的阿拉伯联合酋长国 (UAE) 大学举行,旨在提供一个开放的跨学科论坛,以促进思想的交叉融合,并增强来自统计学、环境工程、计算机科学、生态学、水文学、社会科学、地理学和环境学等领域的专家之间的凝聚力。 其他环境学科。该提案的目的是请求支持定量环境科学领域的美国研究生、初级研究人员和代表性不足的少数群体参加国际环境计量学会(TIES)第 25 届年会。数字技术和信息存储的蓬勃发展彻底改变了收集信息的数量、速度和种类,催生了所谓的“大数据”范式。反过来,这极大地改变了环境科学家感知和分析可用信息的方式,并激发了人们对几乎无处不在的大数据现象日益增长的兴趣,从智能和可持续城市到可再生能源,再到健康和商业分析。然而,大数据不仅涉及管理海量数据,更重要的是开发连接各种知识领域并融合非传统来源信息的开创性方法。事实上,大数据研讨会上很少讨论的是从这些海量信息中出现的新的突破性跨学科联系。例如,Facebook、自然灾害意识和生态食物网之间的共同点是谁负责提高房屋保险费率:过时的建筑标准、城市基础设施或气候变化,以及短期和长期角度可以采取的措施。在海量多平台、多尺度、多源数据的时代,出现越来越多的此类例子,远远超出任何单一学科或研究实践的范围,并且将 具有新的迷人功能的跨领域。这些问题必须从不同的角度同时解决,从现代统计科学到地球系统的纯粹和应用研究及其对环境工程和公共政策的物理和人类影响。 TIES2015 会议将突出现代环境研究的跨学科维度,并将促进更好地理解气候变化对生态系统、经济、政策和整个社会的影响。

项目成果

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Yulia Gel其他文献

Yulia Gel的其他文献

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{{ truncateString('Yulia Gel', 18)}}的其他基金

RAPID: Collaborative Research: Operational COVID-19 Forecasting with Multi-Source Information
RAPID:协作研究:利用多源信息进行可操作的 COVID-19 预测
  • 批准号:
    2027793
  • 财政年份:
    2020
  • 资助金额:
    $ 1.2万
  • 项目类别:
    Standard Grant
AMPS: Collaborative Research: Analysis of Local Power Grid Properties: From Network Motifs to Tensors
AMPS:协作研究:本地电网特性分析:从网络主题到张量
  • 批准号:
    1736368
  • 财政年份:
    2017
  • 资助金额:
    $ 1.2万
  • 项目类别:
    Continuing Grant
BIGDATA: Collaborative Research: IA: Novel Bootstrap Procedures for Efficient Large Social Network Analysis
BIGDATA:协作研究:IA:用于高效大型社交网络分析的新颖引导程序
  • 批准号:
    1633331
  • 财政年份:
    2016
  • 资助金额:
    $ 1.2万
  • 项目类别:
    Standard Grant

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