Browsing by Author "Spicer, Tanner"

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    Authoritative Venues
    Youssef, Ali; Marku, Bella; Spicer, Tanner; Forst, Kyle (Virginia Tech, 2021)
    This submission details the progress made on the Authoritative Venues project. The goal of the Authoritative Venues project was to use machine learning algorithms to create a web application that can accurately recommend fitting ACM-related venues for Computer Science researchers trying to publish their work. By providing a ranked output list of publication venues related to a paper’s topic, we help researchers make more informed decisions about where to submit their work for publication. Additionally, we provide insight into the data collection, virtual machine setup, and website hosting process that allowed for this project to be easily accessible by anyone. This project is particularly useful for CS researchers wanting to gain insight into which ACM-related publication venue would best fit their paper. The recommender is hosted at authvenue.cs.vt.edu. On this website, there are two input fields that researchers can use to provide the title and abstract of their paper. Once this is inputted, researchers can submit this information and receive recommendations specifically catered to their work.
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    Finding What Is Inaccessible: Antimicrobial Resistance Language Use among the One Health Domains
    Wind, Lauren L.; Briganti, Jonathan; Brown, Anne M.; Neher, Timothy P.; Davis, Meghan F.; Durso, Lisa M.; Spicer, Tanner; Lansing, Stephanie (MDPI, 2021-04-03)
    The success of a One Health approach to combating antimicrobial resistance (AMR) requires effective data sharing across the three One Health domains (human, animal, and environment). To investigate if there are differences in language use across the One Health domains, we examined the peer-reviewed literature using a combination of text data mining and natural language processing techniques on 20,000 open-access articles related to AMR and One Health. Evaluating AMR key term frequency from the European PubMed Collection published between 1990 and 2019 showed distinct AMR language usage within each domain and incongruent language usage across domains, with significant differences in key term usage frequencies when articles were grouped by the One Health sub-specialties (2-way ANOVA; p < 0.001). Over the 29-year period, “antibiotic resistance” and “AR” were used 18 times more than “antimicrobial resistance” and “AMR”. The discord of language use across One Health potentially weakens the effectiveness of interdisciplinary research by creating accessibility issues for researchers using search engines. This research was the first to quantify this disparate language use within One Health, which inhibits collaboration and crosstalk between domains. We suggest the following for authors publishing AMR-related research within the One Health context: (1) increase title/abstract searchability by including both antimicrobial and antibiotic resistance related search terms; (2) include “One Health” in the title/abstract; and (3) prioritize open-access publication.