• Black Publics in the Humanities: Critical and Collaborative DH Projects

    Forming reciprocal partnerships between academia and publics realizes a primary goal of calls for social justice in Digital Humanities practices and projects. In this discussion-centric course, we will explore the possibilities for developing collaborative and public-facing digital projects invested in social justice. As a path to cultural criticism, we ask: how might we adapt digital practices in the humanities to bring students and public communities into our scholarship on Black American experiences and other underrepresented identities and texts in DH? What are some of the challenges of working through the politics of marginalization and with scattered archives, and how might we design multi-faceted projects that engage those topics in meaningful ways? This course will cover the intersections of project management, . . . More Details
  • Collaboration for Complex Research: Crowdsourcing in the Humanities

    Crowdsourcing can catalyze discovery and assist humanities research by mobilizing people to undertake tasks involving in-depth, large-scale, and cost-effective information gathering. When well-designed and managed effectively, crowdsourcing projects can successfully support research activities ranging from labelling images, transcribing documents, and annotating text, to parsing workflows through categorization and decision trees. In this course, we will explore the findings of case studies from around the world and across disciplines. Participants in will explore successes and lessons learned in projects in humanities contexts, cultural heritage organizations, and citizen science. Together, we will unpack best practice in designing, managing, evolving, and completing participatory projects. We’ll assess the challenges of recruiting and supporting participants, as well as project workflows and managing data. Students will . . . More Details
  • Getting Started with Data, Tools, and Platforms

    Starting a digital humanities research project can be quite intimidating. This course is designed to make that process less so by exploring tools and platforms that support digital humanities research, analysis, and publication. We will begin by reframing sources as data that enable digital research. We will work throughout the week on approaches to (1) finding, evaluating, and acquiring (2) cleaning and preparing (3) exploring (4) analyzing (5) communicating and sharing data. Emphasis will be placed across all stages on how to manage a beginner digital research project in such a way that helps to ensure that your project remains accessible, that the process is well documented, and that the data are reusable. Throughout this course, we will examine several . . . More Details
  • Help! I’m a Humanist! — Programming for Humanists with Python

    This course introduces participants to humanities programming through the use of Python for data acquisition, cleaning, and analysis. The course assumes no prior technical knowledge and will focus on accomplishing basic research tasks. Students should walk away feeling equipped to tackle a variety of typical problems that arise for digital humanists. We will discuss programming and debugging concepts through the design, implementation, and presentation of small text analysis projects. Primary technologies and topics covered in this course will include the command line, Git, GitHub, and Python; working with data sources such as API’s, CSV files, and data scraped from the web; and basic text analysis. Over the course of the week, we will work with data from DPLA and Project . . . More Details
  • Humanities Research with Sound: Introduction to Audio Machine Learning

    Libraries and archives have digitized thousands of hours of historical audio in recent years, including literary performances, radio programs, and oral histories. In the rush to preserve these recordings before their physical media decay, applying detailed metadata has often been an afterthought. Unlike digitized text, which is readily searchable in most cases, describing the contents of audio recordings typically means listening in real time. Using a range of tools, the High-Performance Sound Technologies for Access and Scholarship (HiPSTAS) project at the University of Texas at Austin has worked to shine a light on these large collections and encourage their use in research. Participants will gain skills useful for using sound collections for a range of humanities research questions. By learning . . . More Details
  • Introduction to the Text Encoding Initiative (TEI) for Historical Documents

    The Text Encoding Initiative (TEI) Guidelines are a standard defining an XML vocabulary for representing textual materials in digital form. This course will focus on encoding historical primary sources both to give provide context and to support analysis and visualization of features of text relevant to humanities scholars. In this introductory course, participants will focus on documenting provenance of historical materials, recording bibliographic metadata, and developing encoding workflows that identify features of interest. Participants will also become familiar with the TEI guidelines and will discuss how to manage text encoding projects in ways that support uniform data creation and best practices for integrating TEI with other metadata standards. Participants will review examples of TEI usage in other digital humanities project . . . More Details
  • Text Analysis

    While a range of freely available tools and excellent tutorials have made it easier to apply computational text analysis techniques, researchers may still find themselves struggling with questions about how to build their corpus and interpret their results. This course will approach text analysis from object to presentation. It covers not just the moment of feed-machine-text-get-results-back, but the process of managing materials and grappling with the meaning of results. Our class will be as much about the decisions and practices of text mining as about tools or step-by-step processes. Students who take this course will be able to: Find and prepare texts for analysis. Store, access, and document their text objects and data. Discuss their corpus-building decisions and textual data . . . More Details
  • Working with Scalar

    This 4-day workshop is intended for scholars, students and others who wish to compose a project or publication in Scalar and seek comprehensive training in the platform and in-depth support with editorial, technical and design decisions. The workshop will include basic, intermediate and advanced training sessions in Scalar, discussions of readings on multimodal scholarship, and both collaborative white-boarding sessions and one-on-one design meetings devoted to each project. The aim of the workshop is to help participants think through the conceptual, structural and technical aspects of their projects as well as the project’s relation to the emergent field of digital media and scholarship overall. Scalar is a free, open source authoring and publishing platform designed for scholars writing media-rich, born-digital scholarship. Developed by The Alliance for Networking Visual Culture, Scalar allows scholars to assemble media from multiple sources and juxtapose that media with their own writing in a variety of ways and to structure essay- and book-length works in ways that take advantage of the unique capabilities of digital writing, including nested, recursive, and non-linear formats. More Details
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