Resource Guide: Digital Humanities for Beginners (Continuously Updating)

This blog will update personal teaching and research insights, including resources and research notes for learning Digital Humanities.

Part 1: Overview of Digital Humanities

Basic Q&A:

• Using Digital Humanities in the Classroom: Frequently Asked Questions

Courses:

• Harvard Online Course: Introduction to Digital Humanities

Literature:

Gardiner, Eileen, and Ronald G. Musto. "The Digital Humanities: A Primer for Students and Scholars." Cambridge University Press, 2015.

Drucker, Johanna. "The Digital Humanities Coursebook: An Introduction to Digital Methods for Research and Scholarship." Routledge, 2021.

Schreibman, Susan, Ray Siemens, and John Unsworth, eds. "A New Companion to Digital Humanities." Wiley-Blackwell, 2016.

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Part 2: Digital Humanities and Data Analysis

Courses:

• Fundamentals of Humanities Data
• Walsh, Melanie. "Introduction to Cultural Analytics & Python." Jupyter Book, 2021. [Online Access]
• The Programming Historian

Tools:

• Jupyter Notebooks for Digital Humanities

Literature:

Karsdorp, Folgert, Mike Kestemont, and Allen Riddell. "Humanities Data Analysis: Case Studies with Python." Princeton University Press, 2020.

Schiuma, Giovanni, and Daniela Carlucci, eds. "Big Data in the Arts and Humanities: Theory and Practice." CRC Press, 2018.

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‍Part 3: Digital Art History

References:

Brown, Kathryn, ed. "The Routledge Companion to Digital Humanities and Art History." Routledge, 2020.

Visualizing Big Image Data." International Journal for Digital Art History, October 2016 - Issue #2.

Wasielewski, Amanda. "Computational Formalism Art History and Machine Learning." Palgrave Macmillan, 2021.

Greenwald, Diana Seave. "Painting by Numbers: Data-Driven Histories of Nineteenth-Century Art." Princeton University Press, 2021.

Part 4: GIS and Visualization

GIS Tools:

• ArcGIS Online
• QGIS
• Tableau Public
• WorldMap

Visualization Tools:

• D3.js
• Tableau Public

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Part 5: Machine Learning and AI in Digital Humanities

Machine Learning:

• Yale Digital Humanities Lab: Introduction to Machine Learning with Python

AI in Digital Humanities:

• Elements of AI
• AI for Everyone
• Machine Learning for Librarians and Archivists
• AI Metadata Generation Experience at the National Library of the Netherlands

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Part 6: Podcasts and Blogs

Podcasts:

• News Books in Digital Humanities
• The Good Robert
• Lex Fridman Podcast

Blog:

• Digital Meets Culture
• DHd-Blog (Digital Humanities im deutschsprachigen Raum)
• Center for Data, Culture and Society, The University of Edinburgh

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Part 7: Project References and Resources

DH Project References:

• King’s College London DH: King’s College London Digital Humanities Projects

Useful Websites:

• Toolkit List
• AI Projects for Humanists

Useful Databases:

• GLAM (Galleries, Libraries, Archives, Museums) Database
• Harvard Dataverse

Digital Humanities Projects:

• Annual Award-Winning Projects

Digital Humanities Journals:

• International Journal of Humanities and Arts Computing
• “Leonardo” from MIT
• Journal of Digital History (can be run with Jupyter Notebook)
• International Journal for Digital Art History

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