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Workshop On Methodological Challenges Across the Social, Behavioral, and Economic Sciences; NSF; Arlington, VA - February, 2015

Workshop On Methodological Challenges Across the Social, Behavioral, and Economic Sciences; NSF; Arlington, VA - February, 2015
社会、行为和经济科学方法论挑战研讨会;
批准号:
1503092
负责人:
Jeff Gill
金额:
$7.22万
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
项目状态:
已结题
起止时间:
2015-02-01 至 2017-07-31

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中文摘要
翻译
该奖项为将于2015年2月在弗吉尼亚州阿灵顿的国家科学基金会举办的关于社会、行为和经济科学方法挑战的研讨会提供支持。研讨会的成果将有助于对社会和行为科学的量化工作以及推动社会、行为和经济科学向前发展所需的方法进步的长期战略思考。可能的传播机制包括期刊提交或编辑的卷以及受监督的在线博客。这次研讨会将汇集来自社会、行为、经济和统计科学的方法论专家,以帮助确定在这些学科中进一步发展方法学的挑战和机会。将讨论的潜在研究主题包括新的数据定义、建模和估计、空结果和数据隐私。研讨会参与者还将探讨促进不同学科的方法学家之间继续交流的方法。
英文摘要
This award provides support for a workshop on methodological challenges across the social, behavioral, and economic sciences, to be held at the National Science Foundation in Arlington, VA in February 2015. The results of the workshop will contribute to long-run strategic thinking about quantitative work in the social and behavioral sciences and the methodological advances that are needed to move the social, behavioral, and economic sciences forward. Possible dissemination mechanisms include journal submissions or an edited volume and a supervised online blog.This workshop will bring together methodologists from across the social, behavioral, economic, and statistical sciences to help identify challenges to and opportunities for furthering methodological developments across these disciplines. Potential research topics to be discussed include new data definitions, modeling and estimation, null results, and data privacy. Workshop participants also will explore methods for facilitating continued communication among methodologists across disciplines.
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Collaborative Research: Smooth National Measurement of Public Opinion Across Boundaries and Levels: A View From the Bayesian Spatial Approach
  • 批准号:
    1761582
  • 项目类别:
    Standard Grant
  • 资助金额:
    $12.28万
  • 财政年份:
    2017
  • 负责人:
    Jeff Gill
  • 依托单位:
Collaborative Research: Smooth National Measurement of Public Opinion Across Boundaries and Levels: A View From the Bayesian Spatial Approach
  • 批准号:
    1630263
  • 项目类别:
    Standard Grant
  • 资助金额:
    $12.64万
  • 财政年份:
    2016
  • 负责人:
    Jeff Gill
  • 依托单位:
Collaborative Research: Identifying Structure in Social Data Models using Markov Chain Monte Carlo Algorithms
  • 批准号:
    1028314
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $16.25万
  • 财政年份:
    2010
  • 负责人:
    Jeff Gill
  • 依托单位:
Collaborative Research: Adaptive Nonparametric Markov Chain Monte Carlo Algorithms for Social Data Models with Nonparametric Priors
  • 批准号:
    0753730
  • 项目类别:
    Standard Grant
  • 资助金额:
    $17.18万
  • 财政年份:
    2007
  • 负责人:
    Jeff Gill
  • 依托单位:
海外基金