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Received before yesterday

Mill Marginalia

作者adhcadmin
2025年2月1日 04:40

Mill Marginalia Online is a digital edition of all marks and annotations in the books of the John Stuart Mill Collection, held at Oxford University’s Somerville College. 

Project Owner(s): Albert Pionke

Tools: WordPress

Methods: Digitization, Preservation, Metadata

Topics: John Stuart Mill

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Comic Relief

作者adhcadmin
2024年4月20日 05:51

The Italian Program in the Department of Modern Languages and Classics at The University of Alabama presents an online seminar series investigating the comic and its uses in moments or situations of trouble. The five talks in our series will variously look at how instances of tribulation, crisis, or upheaval can be examined and made sense of through a comic lens, often leading to a cathartic experience.

Project Owner(s): Jessica Goethals

Topic: Classics, Italian Studies, Comedy

Tool: WordPress

Methodology: Webinars

Project Status: Active


The post Comic Relief appeared first on Alabama Digital Humanities Center.

HydroMind

作者adhcadmin
2024年4月20日 06:42

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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