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Viral Networks: Connecting Digital Humanities and Medical History (V2)

dataset
posted on 23.02.2021, 21:16 by Nathaniel D. Porter, Katherine Cottle, Christopher J. Phillips, Nicole Archambeau, A.R. Ruis, Katherine Sorrels, Sarah Runcie, Kylie Smith, E. Thomas Ewing, Katherine Randall
Viral Networks: Connecting Digital Humanities and Medical History is a collection of original essays examining networks as an object of study, a tool for analysis, a framework for collaboration, and a means of scholarly communication. The chapters began as papers for the Viral Networks Workshop, hosted by the History of Medicine Division of the National Library of Medicine (NIH), funded by the Office of Digital Humanities of the National Endowment for the Humanities, and organized by Virginia Tech. The scholars involved in this project examined networks in medical history even as they became participants in a network of scholars engaged in collaborative learning. Inspired by models of networked pedagogy, these chapters developed through a connected series of activities that began with reading proposals, included one face-to-face and two virtual conferences, and ended with final edits on revised chapters. The papers should therefore be understood and read as a fully networked project, not as chapters written individually and placed together. The chapters in this collection demonstrate what a network analysis can reveal, but also how a network analysis can help a humanities scholar approach a problem a different way, or understand what is missing in their sources or interpretations. The dataset contains data and data visualization related to the workshop and book. The original dataset can be found at the following DOI, doi:10.7294/w4tar0jd88.

History

Publisher

University Libraries, Virginia Tech

Language

English