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Computational Interdisciplinarity: A Study in the History of Science

Abstract This dissertation focuses on creating a pluralistic approach to understanding and measuring interdisciplinarity at various scales to further the study of the evolution of knowledge and innovation. Interdisciplinarity is considered an important research component and is closely linked to higher rates of innovation. If the goal is to create more innovative research, we must understand how interdisciplinarity operates.

I begin by examining interdisciplinarity with a small scope, the research university. This study uses metadata to create co-authorship networks and examine how a change in university policies to increase interdisciplinarity can be successful. The New American University Initiative (NAUI) at Arizona State University (ASU) se... (more)
Created Date 2019
Contributor Painter, Deryc T (Author) / Laubichler, Manfred D (Advisor) / Maienschein, Jane (Committee member) / Bliss, Nadya T (Committee member) / Simeone, Michael P (Committee member) / Nesse, Randolph M (Committee member) / Arizona State University (Publisher)
Subject History / Linguistics / Computer science / Computational History of Science / Computational Linguistics / Graph Theory / Interdisciplinarity / Network Theory / Social Network Analysis
Type Doctoral Dissertation
Extent 211 pages
Language English
Note Doctoral Dissertation Biology 2019
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis