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WORKSHOP: Value and Development of Grassroots Networks for Doing Team Science

WORKSHOP: Value and Development of Grassroots Networks for Doing Team Science
研讨会:草根网络对团队科学的价值和发展
批准号:
1346856
负责人:
Kathleen Weathers
金额:
$8.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-11-01 至 2017-10-31

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中文摘要
翻译
为了应对快速变化的环境和复杂的科学问题所带来的科学挑战,许多科学家已经形成了由一系列相关学科的专家组成的正式或非正式的网络。尽管这些网络的数量迅速增加,但很少有系统的检查这种方法来回答大规模的科学问题。为一个讲习班提供资金,以审查新兴基层网络面临的共同挑战,例如确定引人注目的科学问题以及领导、协调、治理、通信、社会互动、数据获取和管理、作者身份和长期组织可持续性。讲习班将提供一个论坛,以确定这些网络的创建和运作的关键方面,以及基层网络所作出的各种科学推论。讲习班和由此产生的活动将通过召集不同(性别、职业阶段、机构类型)的参与者,包括个别基层网络的领导人以及新出现的团队科学学科的专家,来提高科学工作人员的能力。
英文摘要
To address scientific challenges resulting from a rapidly changing environment and complex scientific questions, many scientists have formed formal or informal networks comprised of experts across a range of pertinent disciplines. Despite the rapidly increasing number of these networks, there has been little systematic examination of this approach to answering large-scale science questions. Funds are provided for a workshop to examine the common challenges facing emerging grass roots networks such as identifying compelling scientific questions as well as leadership, coordination, governance, communication, social interactions, data access and management, authorship, and long-term organizational sustainability. The workshop will provide a forum to identify critical aspects of the creation and operation of these networks, as well as the kinds of scientific inferences that have been made by grassroots networks. The workshop and resulting activities will enhance capacity of the scientific workforce by assembling a diverse (gender, career stage, institution type) set of participants that include leaders of individual grassroots networks as well as experts in the newly emerging discipline of the science of team science.
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会议论文
Conference: Frontiers in artificial intelligence and machine learning for ecology: 17-20 October 2022
Creating FAIR Data in Lake Observatories of the Future
Spokes: SMALL: NORTHEAST: Collaborative: Building the Community to Address Data Integration of the Ecological Long Tail
RCN:MSB:FRA: Grassroots global network science: a macrosystems model
国内基金
海外基金
基于时间序列间分位相依性(quantile dependence)的风险值(Value-at-Risk)预测模型研究
  • 批准号:
    71903144
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    17.0万元
  • 批准年份:
    2019
  • 负责人:
    张申
  • 依托单位: