Getting Started with TEI, February 5^th, 2020—6:30-8:30pm 

This workshop is a deep introduction to the theory and practice of encoding electronic texts for the humanities. It is designed for students who are interested in the transcription and digitization of manuscripts and print-based texts into diplomatic, digital formats. The workshop contains three parts: first, an overview of TEI and the major schemas; second, a quick introduction and tutorial on one or more applications used for encoding; and finally, for the bulk of the workshop, students will get the opportunity to practice encoding a manuscript page in small groups. Throughout this work, we will discuss common issues with encoding, such as how to tag complex data. In addition to familiarizing themselves with TEI and its theoretical contexts, students will leave with knowledge about using Github, oXygen, and XSLT.

Register HERE

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Tropy: Archival Research Photo Management, February 10^th, 2020—6:30-8:30pm 

Come learn about Tropy, free and open-source desktop software designed to help researchers organize and describe their research photos. This workshop will walk you through how to use Tropy, including adding metadata, using tags and lists, merging photos into items, and doing transcriptions or taking notes. It will also offer you some suggestions for how to teach your students about using Tropy for themselves.

Register HERE

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Intro to Python, February 18^th, 2020—6:00-8:30pm 

Python is a programming language that can be used for a wide range of tasks, including collecting and analyzing data in a variety of formats, building web applications, and much more. It is an extremely popular programming language for academic researchers because of its flexibility and adaptability. In this workshop, we will learn the basic of working with the Python programming language. This workshop is designed for Python beginners; a prior knowledge of programming is not required.

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Reproducible Data Analysis in R, February 19^th, 2020—6:30-8:30pm 

The RStudio environment makes truly reproducible research accessible. Reporting your work and ensuring that your code will run in any environment is made easier with RMarkdown and R Projects. In this workshop, you will learn how to keep your analyses organized, understandable, and sharable using these tools and others. By the end you will have your own (small) reproducible analysis ready to share with others. This is an intermediate workshop for people who have some experience working with R and RStudio.

Register HERE

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Data Visualization in R, February 26^th, 2020—6:30-8:30pm 

Visualizing data effectively is an important component of any research project, from initial data exploration to the final research product. The same data can tell many stories, and this workshop will give you the tools to uncover them. Using the incredibly popular ggplot2 package in R, you will learn how to make reproducible data visualizations of a variety of data types. By the end, you will have the necessary skills to forge your own way forward. This is an intermediate workshop for people who have some experience working with R and RStudio.

Register HERE