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

基本信息

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

项目摘要

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，以开发科学史和科学哲学（HPS）研究的计算和大数据方法。此类研究开始从各个项目中产生新颖的见解。然而，为了充分利用这些方法，需要一种综合方法。 RCN 将采取一些必要的步骤，最终提供 HPS 知识的结构化表示以及数据驱动的计算 HPS 基础设施的基础。鉴于背景、问题和方法的多样性，显然不能集中实施整合、协调和标准，这意味着 RCN 是此类项目的相关机制。通过建立计算和数据驱动的 HPS 的新集成方法，RCN 将反过来促进 HPS 与大数据和数据驱动科学的集成。此外，RCN 将通过这种方法提出新类型的问题，从而提高 HPS 对科学与社会交叉点的更大问题的相关性。它还将促进国际合作和多元化学者群体的包容，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来实现这一目标，从而为 HPS 社区（包括公众成员）提供更广泛的访问和参与。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，从而严重限制了其更广泛的使用。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就会受到限制，因为跨多个项目的数据集的集成和计算分析正是提出新颖和创新问题的原因。该 RCN 通过研究和开发映射权威的计算解决方案，并通过数据模型、权威和本体的逐步聚合和映射来跨 HPS 项目集成本体，解决了与 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 领域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发，以应对跨 HPS 项目的数据集成挑战；（3）记录和分析实现这些解决方案和整合的过程，作为计算转向如何影响科学领域发展的例子。