Digital Humanities Workshops – Spring 2019
Join us at Alexander Library for workshops on a range of digital humanities topics throughout the semester. Learn about citation management, using Twitter for research, mapping, textual analysis, web scraping, and more. Register here or visit the individual event pages for additional information.
Citation Management with Zotero
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.
Visualizing Demographic Data in Social Explorer
This workshop will introduce you to Social Explorer, an online mapping tool that allows you to explore and visualize demographic data. We will explore the tool’s basic capabilities, and make sample maps using data from the American Community Survey (ACS).
Introduction to Quantitative Text Analysis
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.
Introduction to Mapping
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 on 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.
Accessing and Exploring Twitter Data
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.
Approaches to Web Scraping in R
An ever-growing wealth of information can be accessed online, but often there is no easy way to obtain this information for further analysis. This hands-on workshop will introduce a solution to this problem: web scraping, a technique for extracting data and data structures from public websites. Using our browsers and the R programming language, we’ll also explore strategies for handling different kinds of websites. No previous coding experience required.