‘Upward Roller Coaster’ by Jr Kopa via unsplash.com
I started writing a kind of generic ‘welcome to the winter term best wishes we’re all on the home stretch for this academic year’ piece.
And continues to happen.
What’s the DH take on all of this? It’s too soon to say, but pay attention to the online dimension. The performances for Instagram. The expulsion of the President from social media. The amateur-hour data security practices of parler, the right-wing social network. And the [material culture as well}(https://thehill.com/homenews/news/533475-flags-signs-and-other-items-left-behind-in-capitol-riot-to-be-preserved-as).
I originally wanted to draw you attention to this project, Rendering Revoltuion,
A collection of sources and stories that speak to the importance of dress, fashion, materiality, and adornment to visions of freedom before, during, and after the Haitian Revolution. Taking as its starting point the global significance of the Haitian Revolution as one of the most impactful challenges to modern European definitions of citizenship and human rights, Rendering Revolution uses the prism of fashion to consider the material, social, and political reverberations of the Revolution as “a world-historical moment.” Our fashion-oriented approach allows us to negotiate the local and global legacies of the Haitian Revolution in novel and productive ways.
It seems to me that perhaps our current moment is going to need novel lenses and perspectives to understand; perhaps that’s the challenge for DH right now.
Melanie Walsh, who is a Postdoctoral Associate in Information Science at Cornell has put together a tremendous resource as part of her class on ‘Introduction to Cultural Analytics’ - a complete book with code that you can run/modify in your browser!. I highly recommend it.
Python for Cultural Data The Introduction to Cultural Analytics & Python textbook offers an introduction to the programming language Python that is specifically designed for humanities students and scholars with no previous programming experience. It demonstrates how Python can be used to study cultural materials such as song lyrics, short stories, newspaper articles, tweets, Reddit posts, and film screenplays. It introduces computational methods such as web scraping, APIs, topic modeling, Named Entity Recognition (NER), network analysis, and mapping.
Miriam Posner, as part of her graduate course ‘Introduction to DH’ has a presentation here on ‘reverse engineering’ DH projects. Why would you want to reverse engineer someone’s DH work? It can inspire you in your own work; it can help you learn to evaluate the significance and importance of DH work!
In this issue, I want to highlight some DIGH5000 projects by students in this year’s DH cohort.
The first is by Ona Bantjes-Rafols, Locating Queer Memories. “There are so many stories hidden in city streets, histories invisible to visitor and resident alike, and Barcelona is no exception. I walked the Rambla hundreds of times without knowing it was the site of the very first gay rights march in the Spanish State, on June 26, 1977, for example… ”
Jaime Simons has put together a kind of archaeological gazetteer, Shipwrecks of the Ottawa River and Rideau Canal.
Nico Mjones’ project is called ‘Losing Rage’ : The project serves as a case study both in how accessible public-facing record keeping is as well as how different communities remember and refer to historical events and records in digital maintenance. The 1989 Brockville, ON Quebec flag desecration is used to compare how differently Anglophone and Francophone online publicly-accessible record keeping varies on an event recalled by Francophones to have great significance in the period.
If you have a student who has done interesting DH work, get in touch! We would also like to compile projects, theses, or other pieces on the Carleton Digital Humanities programme website.
If you know of someone else who might like to receive The DHCU Irregular, please do forward this and send them to the sign up page.
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