RCN: Developing an Integrative Approach to Computational and Digital History and Philosophy of Science

RCN：开发计算和数字历史与科学哲学的综合方法

• 批准号: 1656284
• 负责人: Manfred Laubichler
• 金额: $ 39.92万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-03-01 至 2023-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1656284&HistoricalAwards=false
• 关键词: RCN; Developing; Integrative; Approach; Computational

This award supports the development of an international Research Coordination Network (RCN) for developing computational and big data methods for history and philosophy of science (HPS) research. Such research is beginning to yield novel insights from individual projects. However, an integrated approach is required in order to take full advantage of these methods. The RCN will take some of the steps that are necessary to eventually provide a structured representation of HPS knowledge and the foundation for a data driven computational HPS infrastructure. Given the diversity of contexts, questions, and approaches, it is clear that integration, coordination and standards cannot be imposed centrally, meaning that an RCN is the pertinent mechanism for this type of project. By establishing a new integrative approach to computational and data-driven HPS, the RCN will in turn facilitate an integration of HPS with big-data and data-driven science. In addition, the RCN will lead to new types of questions facilitated by this approach, and thereby increase the relevance of HPS for larger questions at the intersection between science and society. It will also facilitate international collaborations and the inclusion of a diverse group of scholars, particularly many younger scholars; it will do so by promoting commitment to open source, open access, and open education thereby providing broader access to and participation in the HPS community, including members of the general public. Without coordinated authorities and ontologies, data cannot be shared or integrated across individual projects, severely limiting their broader use. Without the benefits of such an economy of scale the transformative impact of computational methods in HPS is limited as the integration and computational analysis of datasets across multiple projects is precisely what enables novel and innovative questions. This RCN addresses the challenges related to authorities and ontologies for computational and digital projects in HPS by conducting research and developing computational solutions for mapping authorities and integrating ontologies across HPS projects through step-wise aggregation and mapping of data models, authorities and ontologies. The international RCN will (1) solidify a working social/organizational network of researchers in computational HPS, including a structured set of educational modules; (2) coordinate research and development of software solutions to address the challenge of data integration across HPS projects; and (3) document and analyze the process of reaching these solutions and integration as an example of how the computational turn affects the development of scientific fields.

该奖项支持国际研究协调网络（RCN）的发展，为科学史和科学哲学（HPS）研究开发计算和大数据方法。这种研究开始从个别项目中产生新的见解。然而，为了充分利用这些方法，需要采取综合办法。RCN将采取一些必要的步骤，最终提供HPS知识的结构化表示和数据驱动的计算HPS基础设施的基础。鉴于背景、问题和方法的多样性，很明显，整合、协调和标准不能集中实施，这意味着区域协调网络是这类项目的相关机制。通过建立一种新的计算和数据驱动的HPS综合方法，RCN将反过来促进HPS与大数据和数据驱动的科学的整合。此外，RCN将导致通过这种方法促进新类型的问题，从而增加HPS在科学与社会交叉点上的更大问题的相关性。它还将促进国际合作，并纳入不同的学者群体，特别是许多年轻学者;它将通过促进对开源，开放获取和开放教育的承诺，从而提供更广泛的访问和参与HPS社区，包括公众成员。 如果没有协调的权威和本体，数据就无法在各个项目之间共享或集成，严重限制了它们的广泛使用。如果没有这种规模经济的好处，HPS中计算方法的变革性影响是有限的，因为跨多个项目的数据集的集成和计算分析正是实现新颖和创新问题的原因。该RCN通过研究和开发映射当局的计算解决方案，并通过逐步聚合和映射数据模型，当局和本体来整合HPS项目中的本体，从而解决HPS中计算和数字项目的权威和本体相关的挑战。国际RCN将（1）巩固计算HPS研究人员的工作社会/组织网络，包括一套结构化的教育模块;（2）协调软件解决方案的研究和开发，以应对HPS项目中数据集成的挑战;以及（3）记录和分析达到这些解决方案和集成的过程，作为计算转向如何影响科学发展的一个例子。领域的

项目成果

Toward a mechanistic explanation of phenotypic evolution: The need for a theory of theory integration

对表型进化的机械解释：需要理论整合理论

• DOI: 10.1002/jez.b.22785
• 发表时间: 2018
• 期刊: Journal of Experimental Zoology Part B: Molecular and Developmental Evolution
• 作者: Laubichler, Manfred D.;Prohaska, Sonja J.;Stadler, Peter F.
• 通讯作者: Stadler, Peter F.

Triangulation of History Using Textual Data

• DOI: 10.1086/705541
• 发表时间: 2019-09-01
• 期刊: ISIS
• 影响因子: 0.6
• 作者: Aiello，Kenneth D.;Simeone，Michael
• 通讯作者: Simeone，Michael

A pluralistic and integrated approach to action-oriented knowledge for sustainability

• DOI: 10.1038/s41893-020-00616-z
• 发表时间: 2020-10-05
• 期刊: NATURE SUSTAINABILITY
• 影响因子: 27.6
• 作者: Caniglia, Guido;Luederitz, C.;Lang, D. J.
• 通讯作者: Lang, D. J.

Measuring the contributions of Chinese scholars to the research field of systems biology from 2005 to 2013

• DOI: 10.1007/s11192-016-2213-x
• 发表时间: 2017-01
• 期刊: Scientometrics
• 影响因子: 3.9
• 作者: Y. Zou;M. Laubichler

The diversity of experimental organisms in biomedical research may be influenced by biomedical funding

• DOI: 10.1002/bies.201600258
• 发表时间: 2017-05-01
• 期刊: BIOESSAYS
• 影响因子: 4
• 作者: Peirson, B. R. Erick;Kropp, Heather;Laubichler, Manfred D.
• 通讯作者: Laubichler, Manfred D.