Fall 2018 Programming

You will find below a description of the workshops and events we have planned for Fall 2018. Reserve your place at a workshop here. Workshops will be taught by Alex Leslie, Digital Humanities Graduate Specialist, with the exception of  Zotero and Omeka, which will be taught by Francesca Giannetti, Digital Humanities Librarian.

Note: Updated 9/24/18 to reflect additional workshop offerings.

Fall Mixer
Digital Humanities Lab, Alexander Library
September 19, 12:30-2:30 pm

Using digital research methods, or curious about digital humanities or digital scholarship? Join us for the Fall 2018 Digital Humanities/Digital Scholarship Mixer in the Digital Humanities Lab (Alexander Library, Room 406-407). We especially encourage graduate students and faculty to attend and give a two-minute lightning talk about their research. Submit presentation graphics using this survey by 6 p.m. on September 18. Light refreshments will be provided.

Citation Management with Zotero
Digital Humanities Lab, Alexander Library
September 25, 10-11 am
September 27, 1-2 pm

Zotero is a free application that collects, manages, and formats citations and bibliographies. In this introductory, hands-on workshop, we’ll learn how to organize sources, attach PDFs and notes, create tags for easy searching, and generate citations and bibliographies in Word. Bring your personal laptop, download Zotero 5.0 for your OS, and the Zotero Connector for your favorite browser.  

Digital Collections and Exhibits with Omeka
Alexander Library, Room 413
October 17, 1-2:30 pm
October 22, 10-11:30 am

This workshop will be an introduction to the basics of creating collections and exhibits with the Omeka web publishing platform. Omeka is a practical tool for describing and curating primary sources in support of research and teaching in the humanities. Participants will get practice uploading items and organizing them into collections and exhibits during the workshop; we’ll also explore pedagogical applications.

Introduction to Mapping
Alexander Library, Room 413
October 11, 10-11:30 am
October 15, 10-11:30 am
October 16, 2-3:30 pm 

What kind of information should be mapped? Which tool is best for the job? If you’ve ever found yourself asking either of these questions – or any other about getting started with mapping – this workshop is for you. We’ll begin with a primer how to identify what kind of data is best suited by a map and what data is necessary to make a map. Then, we’ll explain how to get started with a few common mapping programs (StoryMap JS, Palladio, Tableau, Carto) and evaluate what kinds of uses each is best suited to. 

Data 101
Alexander Library, fourth floor
October 8, 10-11 am, in Room 415
October 30, 2-3 pm, in Room 413
December 6, 10-11 am, in Room 413

So you’ve finally assembled or gotten your hands on a dataset or spreadsheet. Nice work! Not sure what to do next? This hour-long workshop will provide strategies for efficiently turning semi-structured data into tidy data before introducing participants to a range of simple but powerful analyses using the R programming language. No coding experience required. Participants are encouraged (but not required) to bring their own datasets to work with, and all are welcome to stay afterwards for an open office hour to discuss any further or more specific questions.

Accessing and Working with Twitter Data
Alexander Library, Room 413
November 13, 2-3:30 pm 
November 19, 10-11:30 am

This hands-on workshop will step participants through the process of collecting social media data from twitter (by handle, hashtag, and/or search phrase) and some of the concerns involved. Participants will then be introduced to a few simple ways to begin analyzing tweet content and metadata, such as the number of likes and retweets.

Intro to Quantitative Textual Analysis
Alexander Library, Room 413
October 29, 10-11:30 am 
November 1, 10-11:30 am 

This hands-on workshop will introduce participants to the basics of quantitative textual analysis using the R programming language. Participants will each first select a text of their choice from Project Gutenberg (literary or otherwise), which we will then explore through the demonstration of a variety of approaches, including word frequency, distribution, and co-appearance. No coding experience required.