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Mapping knowledge production on world regions: Lessons from the design phase of the SSRC Faculty Affiliations Database Project

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Abstract:

This paper details the creation of the Social Science Research Council (SSRC)’s Faculty Affiliations Database Project (FAP), which is mapping the production of knowledge and faculty expertise about three world regions: the Middle East, South Asia, and Russia/Eurasia, at eight elite American universities, at three key time points: 2000, 2005, and 2010. Drawing upon unique university-wide data sources which provide key, comprehensive information on faculty members working on a given region, the database traces changes in numerous variables, including: faculty area of expertise; academic training; disciplinary affiliation(s); courses taught; field experience; publications; and language capacity. Using these variables for the over 2000 faculty members working on these regions at these eight universities, the FAP database tracks faculty movement and knowledge production over time. It simultaneously illuminates shifts in both disciplinary and topical imbalances in knowledge on world regions produced on a given campus, such as changes in emphasis on Islam or terrorism following 9/11.
Outlining the development of the FAP database over the past two years, this paper addresses research design, questions of reliability, and the challenges in translating qualitative data into discrete variables for statistical operations. The paper also offers some preliminary findings, as we suggest that the rich data on these eight university cases captures shifts in the production of knowledge about world regions more generally.
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Association:
Name: 55th Annual Conference of the Comparative and International Education Society
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http://www.cies.us


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URL: http://citation.allacademic.com/meta/p494098_index.html
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MLA Citation:

Miller-Idriss, Cynthia., Bracho, Christian. and Friedman, Jonathan. "Mapping knowledge production on world regions: Lessons from the design phase of the SSRC Faculty Affiliations Database Project" Paper presented at the annual meeting of the 55th Annual Conference of the Comparative and International Education Society, Fairmont Le Reine Elizabeth, Montreal, Quebec, Canada, <Not Available>. 2014-11-26 <http://citation.allacademic.com/meta/p494098_index.html>

APA Citation:

Miller-Idriss, C. , Bracho, C. and Friedman, J. "Mapping knowledge production on world regions: Lessons from the design phase of the SSRC Faculty Affiliations Database Project" Paper presented at the annual meeting of the 55th Annual Conference of the Comparative and International Education Society, Fairmont Le Reine Elizabeth, Montreal, Quebec, Canada <Not Available>. 2014-11-26 from http://citation.allacademic.com/meta/p494098_index.html

Publication Type: Panel Paper
Abstract: This paper details the creation of the Social Science Research Council (SSRC)’s Faculty Affiliations Database Project (FAP), which is mapping the production of knowledge and faculty expertise about three world regions: the Middle East, South Asia, and Russia/Eurasia, at eight elite American universities, at three key time points: 2000, 2005, and 2010. Drawing upon unique university-wide data sources which provide key, comprehensive information on faculty members working on a given region, the database traces changes in numerous variables, including: faculty area of expertise; academic training; disciplinary affiliation(s); courses taught; field experience; publications; and language capacity. Using these variables for the over 2000 faculty members working on these regions at these eight universities, the FAP database tracks faculty movement and knowledge production over time. It simultaneously illuminates shifts in both disciplinary and topical imbalances in knowledge on world regions produced on a given campus, such as changes in emphasis on Islam or terrorism following 9/11.
Outlining the development of the FAP database over the past two years, this paper addresses research design, questions of reliability, and the challenges in translating qualitative data into discrete variables for statistical operations. The paper also offers some preliminary findings, as we suggest that the rich data on these eight university cases captures shifts in the production of knowledge about world regions more generally.


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