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Conferences on Reproducibility and Replicability in Economics and the Social Sciences (CRRESS)

Conferences on Reproducibility and Replicability in Economics and the Social Sciences (CRRESS)
经济学和社会科学的再现性和可重复性会议(CRRESS)
批准号:
2217493
负责人:
Lars Vilhuber
金额:
$5.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-08-01 至 2024-07-31

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中文摘要
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英文摘要
This award provides partial support for a series of virtual and in-person conferences on the topics of reproducibility, replicability, and transparency in the social sciences. The purpose of scientific publishing is the dissemination of robust research findings, exposing them to the scrutiny of peers and other interested parties. Scientific articles should accurately and completely provide information on the origin and provenance of data and on the analytical and computational methods used. Yet in recent years, doubts about the adequacy of the information provided in scientific articles and their addenda have been voiced. This has been called the replication crisis. The conferences will address the following topics: the initiation of research, the conduct of research, the preparation of research for publication, and the scrutiny after publication. The products of these meetings will be available to any non-participant through videos, presentations materials, and manuscripts. Undergraduates, graduate students, and career researchers will be able to learn about best practices for transparent, reproducible, and scientifically sound research in the social sciences. Research that follows the best practices discussed in the various meetings will be more verifiable, and thus more credible. These qualities are especially important for policy makers that wish to implement evidence-based policymaking, and a public that wishes to understand the foundations of such policies.Scientific practices throughout the conduct of the research, during peer review, and after the dissemination of results all interact to enable a discourse about the veracity of scientific claims. The investigators will organize a sequence of conferences discussing educational and procedural barriers slowing down adoption of best practices, whether journals should be the verifiers of reproducibility, whether (and how) scientists' work can be made to be reproducible at every stage of the research process, and implications thereof for funding, technical infrastructure, and the training of undergraduate and graduate students. The topics chosen for the series are not usually part of disciplinary seminars or conferences and will be brought to a broader audience here for the first time. Most sessions will be held virtually (online), but others will be co-located with or submitted as complete sessions to professional meetings. The availability of permanent artifacts (presentations, recordings, manuscripts) after the conferences will allow this to be a resource with persistent impacts.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.
期刊论文(9)
专著(0)
科研奖励(0)
会议论文
Data Citations and Reproducibility in the Undergraduate Curriculum
本科课程中的数据引用和可重复性
DOI: 10.1162/99608f92.c2835391
发表时间: 2023
期刊: Harvard Data Science Review
影响因子: --
作者: [Mendez-Carbajo, Diego, Dellachiesa, Alejandro]
通讯作者: Dellachiesa, Alejandro
Reproducibility in Economics: Status and Update
经济学的可重复性:现状和更新
DOI: 10.1162/99608f92.80a1b88b
发表时间: 2023
期刊: Harvard Data Science Review
影响因子: --
作者: [Hoynes, Hilary]
通讯作者: Hoynes, Hilary
Reinforcing Reproducibility and Replicability: An Introduction
增强再现性和可复制性:简介
DOI: 10.1162/99608f92.9ba2bd43
发表时间: 2023
期刊: Harvard Data Science Review
影响因子: --
作者: [Vilhuber, Lars, Schmutte, Ian, Michuda, Aleksandr, Connolly, Marie]
通讯作者: Connolly, Marie
“Yes We Can!”: A Practical Approach to Teaching Reproducibility to Undergraduates
“是的,我们可以!”:向本科生教授再现性的实用方法
DOI: 10.1162/99608f92.9e002f7b
发表时间: 2023
期刊: Harvard Data Science Review
影响因子: --
作者: [Ball, Richard]
通讯作者: Ball, Richard
9
    Collaborative Research: Elements: TRAnsparency CErtified (TRACE): Trusting Computational Research Without Repeating It
    • 批准号:
      2209629
    • 项目类别:
      Standard Grant
    • 资助金额:
      $15.0万
    • 财政年份:
      2022
    • 负责人:
      Lars Vilhuber
    • 依托单位:
    RCN: Coordination of the NSF-Census Research Network
    • 批准号:
      1507241
    • 项目类别:
      Standard Grant
    • 资助金额:
      $46.29万
    • 财政年份:
      2014
    • 负责人:
      Lars Vilhuber
    • 依托单位:
    RCN: Coordination of the NSF-Census Research Network
    NCRN-MN: Cornell Census-NSF Research Node: Integrated Research Support, Training and Data Documentation
    • 批准号:
      1131848
    • 项目类别:
      Standard Grant
    • 资助金额:
      $299.96万
    • 财政年份:
      2011
    • 负责人:
      Lars Vilhuber
    • 依托单位:
    海外基金