Description

Our guest today is Dr. Lauren Cardon. Lauren is Associate Professor and Director of graduate studies in the Department of English here at the University of Alabama. She specializes in 20th-century and contemporary American literature, cultural studies, and critical pedagogy. Lauren has a long history of partnering with the ADHC to give her students the opportunity for multimodal research in the literature classroom.

Today she is joined with one of her undergraduate students, Maylee Hamlet, who was enrolled in EN 361 and worked on the project that we’re going to talk about today. Welcome, Lauren and Maylee.

Season: 3

Episode: 4

Date: 3/2024

Presenter: Lauren Cardon and Maylee Hamlet

Topic: Building a collaborative TimelineJS for Special Topics in American Literature

Tags: American Literature; Digital Projects; TimelineJS

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Hydrologic research generates large volumes of peer-reviewed literature across a number of evolving sub-topics. It’s becoming increasingly difficult for scientists and practitioners to synthesize this full body of literature. We explore topic modeling as a form of unsupervised learning applied to 42,154 article-abstracts from six high-impact (Impact Factor > 0.9) journals – Water Resources Research (WRR), Hydrology and Earth System Sciences (HESS), Journal of Hydrology (JH), Hydrological Processes (HP), Hydrological Sciences Journal (HSJ), Journal of Hydrometeorology (JHM), to provide a high-level contextual analyses of hydrologic science literature since 1991. We used a hybrid objective-subjective approach to label a number of broad topics in this body of literature, and used these labeled topics to analyze topic trends, inter-topic relationships, and journal diversity. The methods and outcomes of this endeavor are potentially beneficial to scientists and researchers who aim to gain a contextual understanding of the existing state of hydrologic science literature. In the long term, we see topic modeling as a tool to help increase the efficiency of literature reviews, science communication, and science-informed policy and decision making regarding global hydrological systems.

Project Owner(s): Mashrekur Rahman

Topic: Hydrology, Scientific Literature

Tool: WordPress

Methodology: Topic Modeling, Data Mining

Project Status: Live

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