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Ethical Visualization in the Age of Big Data

Contemporary Cultural Implications of Pre-Twentieth-Century French Texts

Planning Workshop Summary

graphic recording workshop overview


About

A workshop to seek interdisciplinary expert perspectives on ethically and visually representing the historical place of misrepresented peoples and locales.

Held on 9–10 January, 2020
At Lincoln Hall, University of Nevada, Reno 1664 N. Virginia St Reno, Nevada, U.S.A.
Organized by Katherine Hepworth & Christopher Church


Contents

The workshop

Documentation

Next steps


The workshop


Overview

Purpose

This workshop unites top experts from relevant fields to address the conceptual and logistical challenges of visualizing French colonial historical text without reproducing their inherent ethnocentrism. To this end, the project will address two key issues:

  1. how to create ethical data visualizations—and their underlying forms of training and analysis—that grapple with inherent source biases; and
  2. how to computationally process non-modern, non-English languages for humanities research in a critically engaged way.

This workshop will lay the foundations for:

  • expanding the tools of distant reading and visualization to a broad range of historical sources in ways that attend to their cultural, geographic, and linguistic diversity; and
  • identifying and preventing visual perpetuation of pernicious narratives about historical subjects that have persisted from the past into the present.

 


Sessions

  1. Scholarly framing — digital humanities & French colonial history
  2. Metadata structure
  3. Natural language processing (NLP) workflow
  4. Domain adaptation (for early modern French)
  5. Ethical data visualization
  6. Mapping and interface design usability
  7. Adapting and integrating existing open source projects
  8. Input and output (i/o), ongoing maintenance & preservation

 


Participants

Visualizing empire workshop participants

Organizers

  • Christopher M. Church
    Assistant Professor of Digital History
    Co-Director, Nevada Center for Data and Design
    Department of History
    University of Nevada, Reno
  • Katherine Hepworth
    Associate Professor of Visual Journalism
    Co-Director, Nevada Center for Data and Design
    Research Director, Visualizing Science Project
    The Reynolds School of Journalism
    University of Nevada, Reno

Advisor

  • Karel van der Waarde
    Professor of Visual Communication
    Swinburne University of Technology
    Melbourne, Australia

Invited experts

  • Charles Tshimanga-Kashama
    Associate Professor of History
    Department of History
    University of Nevada, Reno
  • Katherine McDonough
    Senior Research Associate
    The Alan Turing Institute
    British Library
    London, United Kingdom
  • Ludovic Moncla
    Maître de conférences in computer science
    Computer Science Laboratory for Image Processing and Information Systems (LIRIS) National Institute of Applied Sciences (insa)
    Lyon, France
  • David Bamman
    Assistant Professor
    Information School
    University of California
    Berkeley, U.S.A.
  • Mary Elings
    Assistant Director and Head of Technical Services The Bancroft Library
    University of California
    Berkeley, U.S.A.
  • Claire Gardent
    CNRS/LORIA
    Université de Lorraine
    Nancy, France
  • Doris Kosminsky
    Professor
    School of Fine Arts
    Universidade Federal do Rio de Janeiro
    Rio de Janeiro, Brazil
  • Teresa Schultz
    Assistant Professor
    University Libraries
    University of Nevada, Reno
  • Elena Azadbakht
    Health Sciences Librarian
    University Libraries
    University of Nevada, Reno

Support staff

  • Aya Sato
    Journalism senior
    Reynolds School of Journalism
    University of Nevada, Reno

 


Credits

Support

This workshop was made possible by the generosity of:

Acknowledgements

In addition to the participants and supporting instituions, this workshop was successful thanks to the contributions of many people, including:

  • Mikki Johnson, Department of History, University of Nevada, Reno
  • Mark Higgins, Facilities Management, University of Nevada, Reno
  • Sally Echeto and Barbara Trainor, Reynolds School of Journalism, University of Nevada, Reno
  • Fatima and Catherine Leland, Silver and Blue Catering, University of Nevada, Reno
  • The staff at Beaujolais Bistro and Perenn Bakery.

 


Documentation


Dataset

From a technical standpoint, we have cleaned the ocr output for one of these corpora, reaching a high degree of accuracy, well above the standard found in most digital collections, and we have marked-up the text. While the data set is large enough to enable the training of machine learning algorithms, such as named-entity recognition (NER), essential to the analysis of large textual corpora, it is of a manageable size with high accuracy. As a continuous time-series, the corpora also allow for the exploration of how preoccupations changed over the eighteenth and nineteenth centuries. By performing “distant reading” on these “medium data”—too large for traditional reading, but small enough to be managed in a targeted and effective manner—we can unearth the epistemological narratives targeted at the reading public. With the goal of using machine learning to broaden critical engagement with the past, this project will provide guidelines and two key training datasets, the ARTFL Encyclopédie and the Journal des Voyages, for modeling and analyzing other eighteenth and nineteenth century French sources.

Formatted data

Memorandum of understanding

Something goes here

Data processing notes

The following table outlines the cleaning processes have been performed to arrive at the latest version of our Journal des Voyages dataset.

Version Date Note
Version x.x Add date Details go here
Version x.x Add date Details go here
Version x Add date Data scraped from BnF holdings using ADD TOOL/METHOD

 

Files

All files are available by downloading the github repository. This includes audio files, briefing materials, presentation files, graphic recordings, and session notes. To browse, hear or see individual files, refer to the individual files in session pages.

 


Links

  • Journal des Voyages at the BnF
  • other links

 


Reflections

Overall

Add summary of white paper/interim report in plain language here.

Session 1

Add something here.

Session 2

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Session 3

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Session 4

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Session 5

Add something here.

Session 6

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Session 7

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Session 8

Add something here.

 


Related scholarly activity

Ethical visualization workflow

We have also done extensive work on a prototype ethical visualization workflow, tested with present day materials from the humanities and the sciences. The workshop will allow adaptation of this workflow for ethical visualization of historical textual sources and non-English text mining. For the latest development of this work, see: https://kathep.github.io/ethics/

Ethical Data Visualization: Taming Treacherous Data course

We teach the method described above as well as how to navigate the concerns explored in this project in the course 'Ethical Data Visualization: Taming Treacherous Data'. This course was offered in 2018 and 2019 at the Digital Humanities Summer Institute (DHSI) at the University of Victoria, Vancouver Island, Canada, and in 2019 at DHDownunder at the University of Newcastle, New South Wales, Australia. See the DHSI course content and DHDownunder course content in these repositories.

Racism in the Machine paper

We wrote a paper on work prepatory to this workshop, it is available here: Katherine Hepworth and Christopher Church. 2018. “Racism in the Machine: Visualization Ethics in Digital Humanities Projects.” Digital Humanities Quarterly 12:4.

Make Me Care paper

This paper incorporates some considerations explored at the workshop, and applies them to an expanded view of ethical visualization, beyond the digital humanities. From Hepworth, K. 2020. (forthcoming) "Make Me Care: Ethical Visualization for Impact in the Sciences and Data Sciences", HCII Conference 2020 Proceedings.

 


Next steps


Future activities

Visualizing Empire project

Something here.

White paper

Something here. Add link.

 


Participate

Follow

You can follow development of this work by subscribing to DO WE WANT TO MAKE A NEWSLETTER???

Contribute

We welcome communication, contributions, and thoughts on this work, particularly from people in the French diaspora. If you'd like to contribute to the development of this work, please reach out at cchurch at unr dot edu or khepworth at unr dot edu. Referrals to other projects, literature, and methods that may be relevant are welcome, as well as suggestions for improvement or other modes of implementation.

 


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Public documentation of the Planning Workshop "Ethical Visualization in the Age of Big Data". This project is supported by the Office of Digital Humanities at the National Endowment for the Humanities.

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