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
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
批准号:
1550435
负责人:
Yulia Gel
金额:
$1.2万
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
项目状态:
已结题
起止时间:
2015-09-01 至 2016-02-29
中文摘要
国际环境计量学会(TIES)第25届银周年会议将于2015年11月21日至25日在阿拉伯联合酋长国(UAE)大学举行,旨在提供一个开放的跨学科论坛,促进思想的交流,增强统计学、环境工程、计算机科学、生态学、水文学、社会科学、地理和其他环境学科专家之间的凝聚力。该提案的目的是请求支持在定量环境科学领域工作的美国研究生、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。随着数字技术和信息存储的迅猛发展,收集信息的数量、速度和种类发生了革命性的变化,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,并点燃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,大数据不仅仅是管理海量数据,更重要的是开发连接各种知识领域和融合非传统来源信息的开创性方法。事实上,在大数据研讨会上很少讨论的是,从这些海量信息中产生的新的突破性跨学科联系。例如,Facebook、自然灾害意识和生态食品网之间的共同点是什么?谁负责提高房屋保险费率?在这个海量多平台、多尺度、多来源数据的时代,越来越多这样的例子出现了,它们远远超出了任何单一学科或研究实践领域的范围,并以新的迷人能力跨领域连接起来。这些问题必须同时从不同的角度加以解决,从现代统计科学到地球系统的纯粹和应用研究,以及它们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。
英文摘要
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
RAPID: Collaborative Research: Operational COVID-19 Forecasting with Multi-Source Information
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批准号:2027793
-
项目类别:Standard Grant
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资助金额:$8.02万
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财政年份:2020
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负责人:Yulia Gel
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依托单位:
AMPS: Collaborative Research: Analysis of Local Power Grid Properties: From Network Motifs to Tensors
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批准号:1736368
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项目类别:Continuing Grant
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资助金额:$11.5万
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财政年份:2017
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负责人:Yulia Gel
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依托单位:
BIGDATA: Collaborative Research: IA: Novel Bootstrap Procedures for Efficient Large Social Network Analysis
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批准号:1633331
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项目类别:Standard Grant
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资助金额:$51.96万
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财政年份:2016
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负责人:Yulia Gel
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依托单位:
海外基金