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
• 负责人: James Druckman
• 金额: $ 297.2万
• 依托单位: University of Rochester
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-01-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2424057&HistoricalAwards=false
• 关键词: Collaborative; Research; Time; Sharing; Experiments

Time-sharing Experiments for the Social Sciences (TESS) provides a platform for social scientists to conduct survey experiments on probability-based sample of United States adults. TESS democratizes access to high-quality, original experimental data, thereby putting the power of population-based survey experiments in the hands of researchers from all backgrounds, types of academic institutions, and career stages. TESS capitalizes on economies of scale by pooling expenses from otherwise separate studies, and makes all its data publicly available, providing an unparalleled archive of social science experimental stimuli and data that can be used for replications, re-analyses, and meta-analyses.TESS accepts proposals from researchers at any career stage across the social sciences. These proposals are peer-reviewed, and the best are selected to be fielded. TESS fields projects using the NORC AmeriSpeak panel, which is the highest-quality probability-based Internet panel available for surveying US adults. Because TESS performs a large number of studies on this panel, we achieve significant cost savings than what the studies would cost if each were funded separately. TESS uses the Open Science Framework to archive all data and make it publicly available, and we will also be working with the Roper Center’s iPoll database to make TESS data even more accessible to secondary users.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

社会科学分时实验（TESS）为社会科学家提供了一个平台，以基于概率的美国成年人样本进行调查实验。TESS使高质量的原始实验数据的获取民主化，从而将基于人口的调查实验的权力交给来自各种背景、学术机构类型和职业阶段的研究人员。TESS通过汇集其他独立研究的费用来利用规模经济，并将所有数据公开，提供无与伦比的社会科学实验刺激和数据档案，可用于重复，重新分析和荟萃分析。TESS接受来自社会科学各个职业阶段的研究人员的建议。这些提案经过同行评审，并选出最好的提案。TESS使用NORC AmeriSpeak面板进行项目，这是可用于调查美国成年人的最高质量基于概率的互联网面板。由于TESS在该小组上进行了大量的研究，因此与单独资助每项研究相比，我们节省了大量的成本。TESS使用开放科学框架来存档所有数据并使其公开可用，我们还将与Roper中心的iPoll数据库合作，使次要用户更容易访问TESS数据。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。