Location: PCL Learning Lab 2
Zotero is a free and easy to learn tool that helps collect, organize, cite, and share information. However, Zotero does more than this: it helps the researcher manage their data––primarily journal articles, books/ebooks, videos, webpages, and all of the associated metadata––in order to preserve and sustain their project. The ideal data management scenario is long-term: resources that one can return to time and again, asking the same question in different ways, or new questions. Being pro-active in the management and maintenance of items and the connections between them is one best practice for supporting long-term use and survival of humanities research data and the products of research.
Instructor: Dale Correa
Workshop links
Coding can often be intimidating for arts and humanities folks. To alleviate that hurdle, this workshop will introduce you to Jupyter Notebook, an open source application that facilitates the writing and sharing of live code through manageable parts and the use of narrative text. Jupyter Notebook helps users break out of memorizing procedures and focus on learning code syntax and conventions by playing in a contained “sandbox” environment. In this workshop, we will provide an overview of Jupyter Notebook and its functionality, discuss learning and teaching applications, work from a notebook using Python and review examples of Jupyter Notebook in digital humanities projects.
Instructor: Adriana Cásarez
Automated translation is an opportunity to expand the limits of scholarship. Global access to files has not necessarily translated into global scholarship because of the linguistic limits of scholars themselves. This workshop will teach you a workaround. You will learn how to use Google Tesseract to convert images of documents into text files and then translate those documents using a translation API. In the process, you will learn the limits of automation and how computers can assist, but not replace, human translation. No prior programming experience is required.
Instructor: Andrew Akhlaghi
Gephi is a visualization tool frequently used for data analysis, link analysis, and complex network mapping in a variety of disciplines: from literary studies to intelligence and security. Gephi also prides itself on supporting network manipulations in real time. The workshop will provide an introduction to the basics of social network analysis, a walkthrough of how Gephi works and an exploration of Gephi’s functions on a provided dataset. Gephi does not require any knowledge of the command line and is suitable for non-specialist users.
Instructor: Natasha Kovalyova
This work is licensed under a Creative Commons Attribution-NonCommercial 2.0 Generic License.