EAGER: Accelerating the Pace of Discovery by Changing the Peer Review Algorithm
EAGER: Accelerating the Pace of Discovery by Changing the Peer Review Algorithm
批准号:
1042164
负责人:
Stefano Allesina
金额:
$24.01万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-08-01 至 2014-07-31
中文摘要
同行评议是审查学术出版物、拨款申请和科学事业发展的主要工具。然而,目前的同行评议制度正面临着严重的压力,这对科学的质量和科学成果的传播速度造成了影响。几项研究发现,目前进行同行评议的方式可能效率低下、速度缓慢,甚至存在偏见。几乎每个科学家都有改进这一体系的想法,但要通过实验来确定哪些措施最有效,即使不是不可能,也是非常困难的。项目实现了一个模拟框架,在这个框架中,许多关于如何改进评审过程的想法可以被定量地测试。该框架采用基于智能体的建模方法构建。科学家、手稿和期刊是数字代理,同行评议系统从他们的互动中产生。可以进行多个实验:例如,一个概念验证应用程序表明,改变同行评议的方式可以极大地改变科学传播的速度。该研究开发了一个成熟的开源模拟软件,可以研究当前系统的替代方案。更广泛的影响拟议的工作可能会改变科学开展的方式。这个框架可以用来确定更好和更有效的同行评审模式,从而导致科学出版和资助方面的深刻变化。此外,如果这项探索性研究取得成功,科学社会学的一个新的计算分支可能会出现。改变同行评议的执行方式,以支持更快、更有效的解决方案,可能会对科学家的日常工作产生广泛的影响,包括有更多的时间用于学术培训和研究,减少花在修改和重新格式化手稿和拨款提案上的时间。支持公正的做法可以扩大少数民族在科学领域的代表性。
英文摘要
Peer review is the main tool for scrutinizing scholarly publications, grant proposals and career advancements in science. However, the current peer review system is under severe strain, with consequences for the quality of science and the rapidity of dissemination of scientific results. Several studies have found that the current way of performing peer review can be inefficient, slow, and even biased. Almost every scientist has ideas on how to improve the system, but it is very difficult, if not impossible, to perform experiments to determine which measures are most effective. The project implements a simulation framework in which many ideas of how to improve the review process can be quantitatively tested.Intellectual Merit The framework is built using agent-based modeling. Scientists, manuscripts and journals are digital agents and a peer review system emerges from their interaction. Multiple experiments can be run: for example, one proof-of-concept application shows how changing the way peer review is performed can dramatically alter the pace at which science is disseminated.The research develops a full-fledged and open-source simulation software that allows to study alternatives to the current system.Broader Impacts The proposed work is potentially transformative of the way science is carried out. This framework can be used to identify better and more efficient models for peer review, leading to profound changes on scientific publishing and funding. Also, if this exploratory research is successful, a new computational branch of sociology of science could emerge. Changing the way peer review is performed to favor faster and more efficient solutions could potentially have broad effects on the daily work of scientists, including more time for academic training and research, and less time spent revising and reformatting manuscripts and grant proposals. Favoring unbiased practices could enlarge the representation of minorities in science.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Revisiting the relationship between phylogenetic diversity and productivity
-
批准号:2022742
-
项目类别:Standard Grant
-
资助金额:$44.93万
-
财政年份:2020
-
负责人:Stefano Allesina
-
依托单位:
CAREER: Scientific Computing for a New Generation of Ecologists
-
批准号:1148867
-
项目类别:Standard Grant
-
资助金额:$59.92万
-
财政年份:2012
-
负责人:Stefano Allesina
-
依托单位:
海外基金