Dissertation Research:
Identification of a dynamic ethos within a dispersed information-dependent community: Computational discourse analysis of The American Gardner publication
The proposed dissertation research intends to examine ethos as a dynamic concept within the dispersed information-dependent community of American gardeners. Accepting Foucault’s (1972) concept that it is through discourse that the meaning of things is created, I theorize that it is similarly true that it is through discourse that ethos is created within a dispersed information-dependent community. As such, I suggest that the ethos of a dispersed information-dependent community can be identified within its primary means of discourse. Based on this, my dissertation research will examine the ethos of the dispersed information-dependent American gardening community by analyzing its primary discourse — The American Gardner — the member publication of the American Horticultural Society, the largest and oldest gardening organization in the United States.
Science Community Research
Location as a Factor in For-Profit Firm's Decision to Engage in Open Science
This study employs geographical analysis with logistic regression to evaluate the distance between 804 US high tech firms and US universities housing the top 25 computer science/mathematics departments using the firm's publication records between 2011-2015. Although geography is known to correlate with a firm’s innovation potential the present study presents strong evidence for a geographical factor influencing a for-profit firm’s decision to engage in open science through the publication of their research findings. [Poster]
Received Early Career Award 2017
Content Based Citation Analysis: Combining Natural Language Processing & Network Analysis
Citation (information) network analysis is a hallmark of science studies, and the inclusion of text features, identified with natural language processing, within that analysis has expanded the method's abilities dramatically. My work in this area includes a review of the content-based citation analysis (Ding, et al, 2014) as well as work employing the method in different contexts. Through work with Professor Ying Ding's Data Science Lab I have contributed to the initial entitymetrics research which linked genes, diseases, and drugs through a citation network of pubmed articles (Ding, et al, 2013 & Song et al, 2013), and investigated patent citation (information) network patterns within scholarly work (Li, et al, 2014).
Influence Evaluation: Bringing together Bibliometrics, Network Analysis, Natural Language Processing, and Supervised Machine Learning
The evaluation of research and researchers has a long tradition within science community research. My research in this area includes an examination of female computer scientist's collaboration with male colleagues through through co-authorship (social) network measures (Chambers, Milojevic & Ding, 2014) and work with the VIVO researcher profile network (Chambers, et al, 2013). I have additionally collaborated with researchers internationally through Professor Ying Ding's Data Science Lab on work in this area. This work includes research evaluating different author credit assignment schemes using co-authorship (social) network measures and correlation analysis (Xu, et al, 2016) and research identifying the influence of bioinformatic researchers through citation (information) network measures, bibliometric measures, and topic modeling (Song, et al, 2014).