Resources: Revision : Pace Commons

Resources: Revision

Last updated 337 days ago by Gerald Ardito

Resources

The web is full of resources to help us in our studies. The trick is to know where to look. I've done the leg work of finding resources that can help you this semester. As you find more, you are welcome to add them here. Just do so by putting your first name in (parentheses) after so we know who to thank.

Contents

Digital Humanities

"Digital Keys for Unlocking the Humanities' Riches" via the NY Times [article]
"Defining the Digital Humanities" via Columbia University [video]
"Where's the Pedagogy? The Role of Teaching and Learning in the Digital Humanities" by Stephen Brier via CUNY Grad Center [article]
"The Humanities, Done Digitally" by Kathleen Fitzpatrick via CUNY Grad Center [article]
"The Digital Humanities Moment" by Matthew K. Gold via CUNY Grad Center [article]
"Matthew K. Gold at USF: Digital Humanities" via the University of San Francisco [talk]
Digital Humanities Now [DH news & information web site]
"Data Science and Digital Art History" by Lev Manovich
Tone Analyzer by IBM via Lauren Goldberg (Fordham U)

Quantitative Text Analysis

"How Language Transformed Humanity" by Mark Pagel via TED [video]
"What is Sentiment Analysis?" by Dan Jurafsky & Chris Manning via Stanford University [video]
"The Birth of a Word" by Deb Roy via TED [video]
"How We Used Data to Win the Presidential Election" by Dan Siroker via Stanford University [video]
"Big Data + Old History" by Adam Crymble [video]
"On Distant Reading and Macroanlysis" by Matthew Jockers [blog post]
"Conjectures on World Literature" by Franco Moretti via New Left Review [article]
"What is Distant Reading?" via the NY Times [article]
"Seven Ways Humanists are Using Computers to Understand Texts" by Ted Underwood [blog]

Data Visualizations

"The Art of Data Visualization" via PBS [video]
"200 Countries, 200 Years, 4 Minutes" by Hans Rosling [video]
Flowing Data by Nathan Yau [blog]
NY Times Data Visualization Lab [blog]
Data Literacy and Visualization Methods by Bear F. Braumoeller [iTunes U course]
Resources from Dr. Braumoeller's courses [web site]
Producing Simple Graphs with R by Frank McCown [web site]
Getting Started with Charts in R by Nathan Yau [web site]

Tools

Voyant Tools [web site]
Many Eyes [web site]
RAW [web site]
R [programming language]
R Studio [programming environment]
Microsoft Excel [web application]
Google Sheets [web application]
Inkscape [free design software]
Google Ngram [book analysis site]
Google Charts [visualization resources]
Tapor [collection of textual analysis tools]
Screencasting Tools

Just Because

"The Quantified Self" by Gary Wolf via TED [video]
Great Big Data Sets to Tinker With via Smart Data Collective [web site]
Manovich's "Best of" list for data viz [Google Doc]
"Amanda Cox on Working with R, NYT Projects, Favorite Data" via Data Stories [podcast]

Resources: Revision

Resources

Digital Humanities

Quantitative Text Analysis

Data Visualizations

Tools

Just Because

Quantitative Literature Analysis Spring 2018

History

Resources