Jeremy Boggs jeremyboggs

What is Digital Humanities

Applying digital tools and methods to humanistic Iand applying humanities lens on digital tools and methods;
See What is Digital Humanities website for a collection of takes describing DH.

Example Projects

Digital Archives + Collections

Recovering the US Hispanic Literary Heritage collection

Instructions for brewing a pot of coffee with the Moccamaster coffee maker

Fill the water reservoir to the max fill line; This will be apporximately 1.25 liters of coffee.
Find an empty carafe, remove the carafe travel lid, add the carafe Brew-Thru lid, and place under the dripper
Grind ~100g off coffee. Place a basket filter in the brew basket and add ground coffee.
Ensure the drip-stop tab on the bottom of the brew basket is pushed in from the side to open the basket for brewing.
Place basket lid on top of the basket.
Flip the power switch to start brewing coffee.
Pull out the brew basket's drip-stop tab sideways to close the basket when the brew is complete.
Turn off the power switch, and enjoy your brewed coffee when done.

Composting DH Links

In the process of doing this review, I personally began to see benefits in possible shifts for how we come to terms with—and reconsider terms for—brokenness, rot, and decay in Digital Humanities scholarship specifically but also in human creations more broadly.

Method.

Download the Simple CSV data available at the Index of Digital Humanites Conferences.
Create a set of Python scripts to complete a few tasks:
1. Parse the conference works for any potential URLs mentioned.
First pass over the data relies on the URLExtract library to find addresses.

Wikis As/For Archives

Blog Posts

"Archival Wikis: In Search of a Digital Community for Archive Users"
"Archives-wiki Part One: A Proposal" and "Archives-wiki Part Two: How It Will Work" detail some thoughts and processes on the (now-defunct) Archives Wiki devleoped by the American Historical Association. Other related content in their Perspectives on History archive
Community Archiving Workshop: About provides resources for working with communities to archive materials.
[RoPA: Roadmap for Participatory Archiving](https:/

Text Analysis + Machine Learning Resources

Recommended Getting Started

Brandon Walsh and Sarah Horowitz, Introduction to Text Analysis: A Coursebook
NLTK Book

Next Steps, More In-Depth Learning

Programming Historian: Distant Reading Lessons Index includes lessons on specific methods, including stylometrics, sentiment analysis, and topic modeling.

Game design platforms

Game Suggestions

title	author	layout
TEI Resources	jeremy-boggs	page

TEI is a XML-based approach for encoding texts in machine-readable ways for humanities and social sciences applications.

	/* latin */
	@font-face {
	font-family: 'Nanum Pen Script';
	font-style: normal;
	font-weight: 400;
	font-display: swap;
	src: url(https://fonts.gstatic.com/s/nanumpenscript/v25/daaDSSYiLGqEal3MvdA_FOL_3FkN6zn0aeNBYTQ.woff2) format('woff2');
	unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
	}

	import json
	import csv

	# Identify the JSONL fields we wish to retrieve and write
	# to the CSV file.
	fields = ['id','title','text','url']

	# Open a new CSV file and open the existing JSONL file.
	with open('pages.csv', 'w') as csv_file, open("pages.jsonl", "r") as json_file:
	# Create a CSV writer object.