Incubators of Knowledge: Predicting protege productivity and impact in the social sciences
知识孵化器:预测受保护人的生产力和对社会科学的影响
基本信息
- 批准号:1158670
- 负责人:
- 金额:$ 24.02万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-08-01 至 2014-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Doctoral education plays a pivotal role in shaping the careers of future scholars and, thereby, in making an impact on the trajectory of knowledge creation in a nation. During a doctoral program, students are acculturated to the norms of the discipline, learning scholarly practices and behaviors that guide them for a lifetime. Advisors, as guides to these scholarly journeymen, serve as critical gatekeepers to the discipline and can have a profound influence on their doctoral students. Doctoral students comprise a larger portion of the academic workforce, yet scholars have very little knowledge of their place in scholarly networks, the degree to which they contribute to scholarly output, and the impact of this output. Very little quantitative analysis shows the relationship between advisors' scholarly practices and the future success of their advisees. This study investigates these issues from two main angles: understanding the contribution of doctoral students to social-science research (the extent and character of this contribution) and the impact of this research (visibility through citations); and examining the advisor's knowledge base and knowledge-diffusion practices, and whether these factors are involved in expanding knowledge frontiers and how they relate to the career trajectories and future success of doctoral students. This approach allows quantification of advisor behaviors and documentation of patterns within advisee behaviors. This research thus produces a viable framework for predicting advisee success based on advisor qualities and individual students' publication practices in the course of their doctoral studies. This predictive model can then be used by science policy makers and administrators for more efficient allocation of resources and to identify ways to promote innovation in higher education. This work supports a quantitative-based understanding of contribution of doctoral students to the creation of knowledge and of the relationship between the scholarly practices of advisors and the productivity and impact of their proteges. Such a model will also enhance our understanding of how the different scientific practices of the advisors -- including their embeddedness in particular disciplines, degree of mobility among different disciplines, and involvement in highly collaborative interdisciplinary work -- will have an effect on the career trajectories and scientific success of their advisees. The combination of multiple datasets and the innovative analyses in this first research study on proteges provides a rich foundation for the development of new metrics and evaluations of knowledge diffusion, scholarly productivity, and scientific impact in doctoral education.Broader Impacts: Educational opportunities are provided through the funding of students and the integration of this project into the classroom. In addition, this research provides a platform for future analyses on the interaction of mentoring in doctoral education with individual protege characteristics. The research products of this work will be disseminated at national and international conferences and workshops. The process of matching heterogeneous datasets, as well as the datasets themselves, will be detailed and made available online in order to enhance replicability and enable other scientists to adopt and expand these approaches.
博士教育在塑造未来学者的职业生涯中起着至关重要的作用,从而对一个国家的知识创造轨迹产生影响。在博士课程期间,学生被文化适应学科的规范,学习指导他们一生的学术实践和行为。导师,作为这些学者的向导,作为学科的关键守门人,可以对他们的博士生产生深远的影响。博士生占学术劳动力的很大一部分,但学者们对他们在学术网络中的地位、他们对学术产出的贡献程度以及这种产出的影响知之甚少。很少有定量分析表明顾问的学术实践与其学生未来的成功之间的关系。本研究从两个主要角度探讨这些问题:了解博士生对社会科学研究的贡献(这一贡献的程度和性质)以及这项研究的影响(通过引用提高知名度);并检查顾问的知识基础和知识传播实践,以及这些因素是否涉及知识前沿的拓展,以及它们与博士生的职业轨迹和未来成功的关系。这种方法允许顾问行为的量化和被访者行为中模式的文档化。 因此,这项研究产生了一个可行的框架,预测博士生成功的基础上,顾问素质和个别学生的出版实践在他们的博士研究过程中。然后,科学政策制定者和管理者可以使用这种预测模型来更有效地分配资源,并确定促进高等教育创新的方法。这项工作支持基于定量的理解博士生的贡献,创造知识和顾问的学术实践和生产力之间的关系和他们的门徒的影响。这种模式也将提高我们的理解顾问的不同科学实践-包括他们在特定学科的嵌入,不同学科之间的流动程度,以及参与高度协作的跨学科工作-将如何影响他们的职业轨迹和科学成功。多个数据集和创新的分析相结合,在这第一个研究proteges提供了一个丰富的基础,为发展新的指标和评估知识扩散,学术生产力,并在博士教育的科学影响。更广泛的影响:教育机会是通过学生的资金和该项目融入课堂。此外,本研究亦提供一个平台,以供未来分析博士生导师教育与个别学生特质的互动关系。 这项工作的研究成果将在国家和国际会议及讲习班上传播。将详细介绍匹配不同种类数据集的过程以及数据集本身,并在网上提供,以提高可复制性,并使其他科学家能够采用和推广这些方法。
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)
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Cassidy Sugimoto其他文献
Selected papers of the 15th International Conference of the International Society for Scientometrics and Informetrics (ISSI), Boğaziçi University, Istanbul, Turkey, 29 June–4 July 2015
- DOI:
10.1007/s11192-016-1934-1 - 发表时间:
2016-04-05 - 期刊:
- 影响因子:3.500
- 作者:
Almila Akdag Salah;Cassidy Sugimoto;Umut Al;Wolfgang Glänzel - 通讯作者:
Wolfgang Glänzel
Cassidy Sugimoto的其他文献
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{{ truncateString('Cassidy Sugimoto', 18)}}的其他基金
Collaborative Research: SBP: Scientific topics and careers at the intersection: an algorithmic approach
合作研究:SBP:交叉点上的科学主题和职业:算法方法
- 批准号:
2152303 - 财政年份:2022
- 资助金额:
$ 24.02万 - 项目类别:
Standard Grant
Cascades, islands, or streams? Time, topic, and scholarly activities in humanities and social science research
瀑布、岛屿还是溪流?
- 批准号:
1208804 - 财政年份:2012
- 资助金额:
$ 24.02万 - 项目类别:
Standard Grant
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