| NSF Org: |
SES Division of Social and Economic Sciences |
| Recipient: |
|
| Initial Amendment Date: | January 30, 2017 |
| Latest Amendment Date: | March 8, 2021 |
| Award Number: | 1656284 |
| Award Instrument: | Continuing Grant |
| Program Manager: |
Frederick Kronz
SES Division of Social and Economic Sciences SBE Directorate for Social, Behavioral and Economic Sciences |
| Start Date: | March 1, 2017 |
| End Date: | February 28, 2023 (Estimated) |
| Total Intended Award Amount: | $399,187.00 |
| Total Awarded Amount to Date: | $399,187.00 |
| Funds Obligated to Date: |
FY 2018 = $61,378.00 FY 2019 = $98,155.00 FY 2020 = $17,836.00 FY 2021 = $98,161.00 |
| History of Investigator: |
|
| Recipient Sponsored Research Office: |
660 S MILL AVENUE STE 204 TEMPE AZ US 85281-3670 (480)965-5479 |
| Sponsor Congressional District: |
|
| Primary Place of Performance: |
AZ US 85287-4501 |
| Primary Place of
Performance Congressional District: |
|
| Unique Entity Identifier (UEI): |
|
| Parent UEI: |
|
| NSF Program(s): |
Cross-Directorate Activities, STS-Sci, Tech & Society |
| Primary Program Source: |
01001718DB NSF RESEARCH & RELATED ACTIVIT 01001819DB NSF RESEARCH & RELATED ACTIVIT 01001920DB NSF RESEARCH & RELATED ACTIVIT 01002021DB NSF RESEARCH & RELATED ACTIVIT 01002122DB NSF RESEARCH & RELATED ACTIVIT |
| Program Reference Code(s): |
|
| Program Element Code(s): |
|
| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.075 |
ABSTRACT
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.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
Note:
When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external
site maintained by the publisher. Some full text articles may not yet be available without a
charge during the embargo (administrative interval).
Some links on this page may take you to non-federal websites. Their policies may differ from
this site.
PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
The RCN: Developing an Integrative Approaches to Computational and Digital History and Philosophy of Science has been focused on the establishment of a community of practice that combines computational methods and digital data with research questions within HPS. It succeeded on many levels. (1) there is now an ever-growing number of researchers that follow this model of research; (2) the number of papers and books within HPS that are based on computational approaches is growing; (3) computational HPS questions and approaches are also connecting HPS to different fields, such as science studies, innovation studies, team science studies, science policy and the sciences themselves. The members of this RCN have been crucially involved in many of these interdisciplinary approaches. The RCN community also developed new educational approaches. These include opportunities for cross-training (training HPS researchers in computational methods, coding, computational linguistics and quantitative approaches and training computer scientists in humanities and social science methods) as well as the emergence of novel career paths within science and the humanities. Computational HPS as well as other fields with a similar computational focus have identified a major deficit in the organization of science. Developing computational methods requires a unique community of developers and researchers and professional standards to be successful. The RCN has contributed a lot to the professionalization of scientific software engineering in social science and humanities fields and established models for career paths in these areas.
Last Modified: 04/18/2023
Modified by: Jane Maienschein
Please report errors in award information by writing to: awardsearch@nsf.gov.
