Collaborative Research: Time-Sharing Experiments for the Social Sciences (TESS): Proposal for renewed support

合作研究:社会科学分时实验(TESS):重新支持的提案

基本信息

  • 批准号:
    0819271
  • 负责人:
  • 金额:
    $ 34.21万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2008
  • 资助国家:
    美国
  • 起止时间:
    2008-09-15 至 2013-08-31
  • 项目状态:
    已结题

项目摘要

In 2001, Time-sharing Experiments for the Social Sciences (TESS) was established with the support of the National Science Foundation. TESS is an infrastructure project that capitalizes on economies of scale to enable scholars from across the social sciences, on a competitive basis, to conduct ground-breaking research on issues of broad theoretical and practical importance. Since its inception, TESS has enabled an unprecedented number of researchers to collect original, high quality nationally-representative experimental data. On a continuous basis, TESS solicits proposals to test methodological and substantive hypotheses from across the social sciences, submits them to a rigorous peer review process, and then implements the most innovative and promising experiments on its Internet-based data collection platform. This platform draws on national probability samples of respondents and offers the capability for implementing complex experimental designs. The key to TESS is multiple studies, from different disciplines, sharing a common observational platform, all exploiting the inferential power of experimental designs and nationally representative samples. By distributing the costs of sampling, data collection, and data management over a large number of studies, TESS dramatically reduces the average cost of each study and makes experimentation on general-population samples available to researchers for whom the obstacles to such work would be otherwise prohibitive. As a scientific investment, therefore, TESS offers broad, immediate, and long-lasting benefits. At the same time, many of its costs are remarkably low. Viewed as a whole, TESS breaks new ground by following the best scientific practice of the past ? it harnesses cutting edge technology and uses it to create and disseminate new discoveries about critical social and behavioral phenomena. Indeed, while TESS has innovated in many ways, its basic strategy is to follow a path that has served science well in the past ? make the best technology available to our best scientific minds.The broader impacts of TESS are substantial. Most obviously, TESS enhances the infrastructure for research and education, providing a common platform for the conduct and analysis of general population experiments. In so doing, TESS advances discovery and understanding by capitalizing on economies of scale to make general population experiments feasible to a diverse array of talented, innovative social scientists, most of whom would otherwise be unable to conduct such research. TESS also promotes teaching, training, and learning at the undergraduate and graduate levels in a number of ways. For example, graduate students from across the social sciences are encouraged to submit TESS proposals, and expert reviewers provide detailed feedback. Graduate students (and even a handful of undergraduates) have been PIs or co-PIs on a number of successful TESS proposals, and have benefited from the experience of running their own population-based experiment. In addition, graduate students and undergraduates have benefited from the incorporation of TESS data into courses on research methods and statistics across the country, providing young scholars with manageable experimental data sets on which to develop their analytic skills. And graduate and undergraduate students will serve as Research Assistants, gaining hands-on experience in all aspects of TESS . TESS also broadens the participation of underrepresented groups, both as investigators and research participants. At the heart of TESS? mission is the democratization of access to high quality, original experimental data, putting the power of population-based experiments in the hands of researchers from all racial and ethnic backgrounds, from all types of academic institutions, and from all stages of career. And because the TESS data collection platform involves a representative sample, the results of TESS projects reflect the broad diversity of our nation. Further, the data collection platform enables investigators to oversample respondents from otherwise underrepresented groups, and a number of TESS projects have done so for the express purpose of better understanding psychological, behavioral, or economic processes within these groups.
2001年,社会科学分时实验(TESS)在国家科学基金会的支持下成立。 TESS是一个基础设施项目,利用规模经济,使来自社会科学领域的学者能够在竞争的基础上,对具有广泛理论和实践重要性的问题进行开创性的研究。 自成立以来,TESS已使数量空前的研究人员能够收集原始的、高质量的、具有全国代表性的实验数据。TESS不断征求建议,以测试来自社会科学的方法和实质性假设,将其提交给严格的同行评审过程,然后在其基于互联网的数据收集平台上实施最具创新性和最有前途的实验。该平台利用国家概率样本的受访者,并提供了实施复杂的实验设计的能力。TESS的关键是来自不同学科的多项研究,共享一个共同的观察平台,所有这些研究都利用了实验设计和全国代表性样本的推理能力。通过将采样、数据收集和数据管理的成本分摊到大量研究中,TESS大大降低了每项研究的平均成本,并使研究人员可以在普通人群样本上进行实验,否则这些工作的障碍将是禁止的。因此,作为一项科学投资,TESS提供了广泛、直接和持久的好处。与此同时,它的许多成本都非常低。从整体上看,TESS通过遵循过去最好的科学实践而开辟了新天地。它利用尖端技术,并利用它来创造和传播有关关键社会和行为现象的新发现。事实上,尽管TESS在许多方面都进行了创新,但它的基本策略是遵循过去为科学服务的道路?让我们最优秀的科学家能够获得最好的技术。TESS的广泛影响是巨大的。 最明显的是,TESS增强了研究和教育的基础设施,为开展和分析一般人群实验提供了一个共同平台。 在这样做的过程中,TESS通过利用规模经济来推进发现和理解,使一般人群实验对各种各样的有才华的、创新的社会科学家变得可行,否则他们中的大多数人将无法进行这样的研究。 TESS还以多种方式促进本科和研究生阶段的教学,培训和学习。 例如,鼓励来自社会科学领域的研究生提交TESS提案,专家评审员提供详细的反馈。 研究生(甚至少数本科生)已经成为许多成功的TESS提案的PI或共同PI,并从运行自己的基于人口的实验的经验中受益。 此外,研究生和本科生受益于TESS数据纳入全国各地的研究方法和统计课程,为年轻学者提供可管理的实验数据集,以发展他们的分析技能。研究生和本科生将担任研究助理,在TESS的各个方面获得实践经验。 TESS还扩大了代表性不足的群体的参与,无论是作为调查人员还是研究参与者。 TESS的核心?使命是使获得高质量的原始实验数据的权利民主化,将基于人口的实验的权力交给来自所有种族和民族背景、来自所有类型的学术机构和来自所有职业阶段的研究人员。 由于TESS数据收集平台涉及具有代表性的样本,TESS项目的结果反映了我们国家的广泛多样性。 此外,数据收集平台使调查人员能够从其他代表性不足的群体中过度抽样受访者,许多TESS项目已经这样做,以更好地了解这些群体中的心理,行为或经济过程。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Jeremy Freese其他文献

Knowledge Production Processes: An Analysis of Research Perseverance and the File Drawer Bias in Social Science Survey Experiments
知识生产过程:社会科学调查实验中的研究毅力和文件抽屉偏差分析
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Philip Moniz;James Druckman;Jeremy Freese
  • 通讯作者:
    Jeremy Freese
Blogs and the Attention Market for Public Intellectuals
  • DOI:
    10.1007/s12115-008-9159-4
  • 发表时间:
    2008-11-22
  • 期刊:
  • 影响因子:
    1.400
  • 作者:
    Jeremy Freese
  • 通讯作者:
    Jeremy Freese

Jeremy Freese的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Jeremy Freese', 18)}}的其他基金

Collaborative Research: Time-Sharing Experiments for the Social Sciences (TESS): Proposal for Renewed Support, 2020-2023
合作研究:社会科学分时实验(TESS):2020-2023 年更新支持提案
  • 批准号:
    2017464
  • 财政年份:
    2020
  • 资助金额:
    $ 34.21万
  • 项目类别:
    Standard Grant
Collaborative Research: Time-Sharing Experiments for the Social Sciences (TESS)
合作研究:社会科学分时实验(TESS)
  • 批准号:
    1627769
  • 财政年份:
    2016
  • 资助金额:
    $ 34.21万
  • 项目类别:
    Continuing Grant
Doctoral Dissertation Research: Digital Adaptation and the Stratification of Cultural Practices
博士论文研究:数字适应和文化实践的分层
  • 批准号:
    1303682
  • 财政年份:
    2013
  • 资助金额:
    $ 34.21万
  • 项目类别:
    Standard Grant
Doctoral Dissertation Research: Violence and Educational Outcomes
博士论文研究:暴力与教育成果
  • 批准号:
    1030978
  • 财政年份:
    2010
  • 资助金额:
    $ 34.21万
  • 项目类别:
    Standard Grant

相似国自然基金

Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 批准年份:
    2024
  • 资助金额:
    0.0 万元
  • 项目类别:
    省市级项目
Cell Research
  • 批准号:
    31224802
  • 批准年份:
    2012
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Cell Research
  • 批准号:
    31024804
  • 批准年份:
    2010
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Cell Research (细胞研究)
  • 批准号:
    30824808
  • 批准年份:
    2008
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Research on the Rapid Growth Mechanism of KDP Crystal
  • 批准号:
    10774081
  • 批准年份:
    2007
  • 资助金额:
    45.0 万元
  • 项目类别:
    面上项目

相似海外基金

Collaborative Research: New Approaches to Predicting Long-time Behavior of Polymer Glasses
合作研究:预测聚合物玻璃长期行为的新方法
  • 批准号:
    2330759
  • 财政年份:
    2024
  • 资助金额:
    $ 34.21万
  • 项目类别:
    Standard Grant
Collaborative Research: Time-Sharing Experiments for the Social Sciences (TESS): Proposal for Renewed Support, 2020-2023
合作研究:社会科学分时实验(TESS):2020-2023 年更新支持提案
  • 批准号:
    2424057
  • 财政年份:
    2024
  • 资助金额:
    $ 34.21万
  • 项目类别:
    Continuing Grant
Collaborative Research: New Approaches to Predicting Long-time Behavior of Polymer Glasses
合作研究:预测聚合物玻璃长期行为的新方法
  • 批准号:
    2330760
  • 财政年份:
    2024
  • 资助金额:
    $ 34.21万
  • 项目类别:
    Standard Grant
Collaborative Research: NeTS: Medium: EdgeRIC: Empowering Real-time Intelligent Control and Optimization for NextG Cellular Radio Access Networks
合作研究:NeTS:媒介:EdgeRIC:为下一代蜂窝无线接入网络提供实时智能控制和优化
  • 批准号:
    2312978
  • 财政年份:
    2023
  • 资助金额:
    $ 34.21万
  • 项目类别:
    Standard Grant
Collaborative Research: Optimized frequency-domain analysis for astronomical time series
合作研究:天文时间序列的优化频域分析
  • 批准号:
    2307979
  • 财政年份:
    2023
  • 资助金额:
    $ 34.21万
  • 项目类别:
    Standard Grant
Collaborative Research: Plant-Inspired Growing Robots Operating in Multiple Time Scales
协作研究:在多个时间尺度上运行的植物启发种植机器人
  • 批准号:
    2312423
  • 财政年份:
    2023
  • 资助金额:
    $ 34.21万
  • 项目类别:
    Standard Grant
Collaborative Research: NSFGEO-NERC: MEZCAL: Methods for Extending the horiZontal Coverage of the Amoc Latitudinally and back in time (MEZCAL)
合作研究:NSFGEO-NERC:MEZCAL:扩展 Amoc 纬度和时间回水平覆盖范围的方法 (MEZCAL)
  • 批准号:
    2409764
  • 财政年份:
    2023
  • 资助金额:
    $ 34.21万
  • 项目类别:
    Standard Grant
Collaborative Research: Exploring the Kermadec Trench --- Residence time, spatial gradients, and insights into ventilation
合作研究:探索克马德克海沟——停留时间、空间梯度和通风见解
  • 批准号:
    2319547
  • 财政年份:
    2023
  • 资助金额:
    $ 34.21万
  • 项目类别:
    Continuing Grant
Collaborative Research: EAGER: AI-Assisted Just-in-Time Scaffolding Framework for Exploring Modern Computer Design
合作研究:EAGER:用于探索现代计算机设计的人工智能辅助即时脚手架框架
  • 批准号:
    2327971
  • 财政年份:
    2023
  • 资助金额:
    $ 34.21万
  • 项目类别:
    Standard Grant
Collaborative Research: Accuracy-Preserving Robust Time-Stepping Methods for Fluid Problems
协作研究:流体问题的保持精度的鲁棒时间步进方法
  • 批准号:
    2309728
  • 财政年份:
    2023
  • 资助金额:
    $ 34.21万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了