HILT 2017

Monday, June 5, 2017 (All day) to Thursday, June 8, 2017 (All day)

We are delighted to announce that HILT 2017 registration is now open!
Register NOW  http://www.dhtraining.org/hilt2017

HILT will be held June 5-8, 2017, with special events on June 9, on the
campus of the University of Texas at Austin.

Courses for 2017 include:

COLLABORATION FOR COMPLEX RESEARCH: CROWDSOURCING IN THE HUMANITIES
Meghan Ferriter, Project Coordinator, Smithsonian Transcription Center

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 gather hands-on experience with a range of ongoing crowdsourcing projects. We will discuss ethical considerations, responsible project design, and managing the unexpected. The class will map research and institutional needs, organizational limitations, and available tools to practical workflows. We will also consider the ways complex project goals can be broken down, modified, or scaled to achieve step-by-step success. Students will also have the opportunity to collaborate on designing a project organized around resources of their choice; building on the examples investigated during our session. Join us in this course to further evaluate crowdsourcing as a practical tool for analysis in the humanities.

GETTING STARTED WITH DATA, TOOLS, AND PLATFORMS
Brandon Locke, Director, Lab for the Education and Advancement in Digital Research (LEADR), Michigan State University
Thomas Padilla, Humanities Data Curator, University of California, Santa Barbara

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.

WORKING WITH SCALAR
Curtis Fletcher, Associate Director of the Polymathic Labs, University of Southern California Libraries, and Co-Principal Investigator, Scalar Project

This 4-day workshop is for scholars and students who wish to work on a Scalar project or publication 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 multimodalscholarship, and both collaborative whiteboarding 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.

HELP! I'M A HUMANIST!  PROGRAMMING FOR HUMANISTS WITH PYTHON
Brandon Walsh, Assistant Professor and Mellon Digital Humanities Fellow, Washington and Lee University Libraries

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 Gutenberg. If the words above mean nothing to you, don't panic-this course is for you.

BLACK PUBLICS IN THE HUMANITIES: CRITICAL AND COLLABORATIVE DH PROJECTS
Sarah Patterson, Graduate Student Co-Founder and Coordinator, Colored Conventions Project, PhD Candidate, University of Delaware
Jim Casey, Graduate Student Co-Founder and Coordinator, Colored Conventions Project, PhD Candidate, University of Delaware

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, digital pedagogy and data visualization. We will hone strategies for weaving together inclusive community partnerships with undergraduate research through crowdsourcing, exhibits, and digital collections. Taking a hands-on approach, we will become acquainted with the processes of data. How do datasets make arguments? How can we collaborate with librarians and information professionals to unpack the resonances of power, authority, and violence in humanities data?

Using the Colored Conventions Project and other small- to medium-sized DH projects as examples, students will have the opportunity to create and workshop blueprints for their own projects. By the end of the week, participants will have a working understanding of an array of approaches to project design and implementation, including data viz., metadata, curriculum, and more.

TEXT ANALYSIS
Katie Rawson, Humanities Librarian, Emory University

Can topic modeling help me answer my question? How do I extract the people and places from the texts I study? What is principal component analysis? How do I build a corpus I can mine using text analysis tools? How can I study shifts in discourse over time?

This class will examine methods and practices for text analysis. Freely available tools and excellent tutorials have made it easier to apply computational text analysis techniques; however, researchers may still find themselves struggling with how to build their corpus, decide upon a method, and interpret results. We will survey the how and why of variety of commonly used methods (e.g. word distribution, topic modeling, natural language processing) as well as how develop and manage a collection of texts.

NEW APPROACHES TO LITERARY ARCHIVES
Porter Olsen, PhD Candidate, University of Maryland

The past decade has seen the rise of hybrid and born-digital literary collections as prominent authors from the latter 20th century have (either in person or through their estates) donated their papers to libraries and other collecting institutions. Over that period the archival community has worked to develop the necessary preservation methods and access systems to ensure the long-term preservation of these born-digital materials, while also making them available to researchers. Like the archivists tasked with processing these born-digital materials, the scholar of latter 20th and
early 21st century literature must also develop new skills and expertise. In this course participants will develop those skills and digital fluencies necessary to take full advantage of existing and future hybrid literary collections. Participants will learn fundamentals of digital objects including how data is stored on a variety of legacy and contemporary media,
how to access file-level metadata such as file creation and modification times, and how to work with a variety of file systems. We will also carefully explore examples of born-digital and hybrid literary collections such as the Salman Rushdie collection at Emory University, the John Updike collection at Harvard University, and the Gabriel Garcia Marquez collection at the Harry Ransom Center. Instruction will be a mixture of lecture, discussion, and hands-on practical activities.

HUMANITIES RESEARCH WITH SOUND: INTRODUCTION TO AUDIO MACHINE LEARNING
Stephen McLaughlin, PhD Candidate, University of Texas at Austin

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 the basics of how to discover and identify patterns, search and sift collections of sounds, humanists can unlock new collections of valuable primary source material. This workshop will begin with an overview of machine learning techniques for expediting audio annotation, beginning with event detection classifiers, speaker diarization, and speech-to-text processing. We will then use the GUI-based tool Sonic Visualiser to tag audio events and use
those data to search for additional instances in a wider corpus. Experience recording or editing digital audio will be helpful but is not strictly necessary. No prior experience with Python or machine learning is required.

INTRODUCTION TO THE TEXT ENCODING INITIATIVE (TEI) FOR HISTORICAL DOCUMENTS
Caitlin Pollock, Digital Humanities Librarian, Indiana University-Purdue University Indianapolis

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 and then devote time to encoding TEI documents relevant to their research interests. For those with no previous experience, readings about XML and the TEI will be provided prior to class.

More information about all the courses can be found at:
http://www.dhtraining.org/hilt2017/courses/

Sponsored student scholarships are available for undergraduate and graduate students as well as continuing professionals.
http://www.dhtraining.org/hilt2017/important-dates-costs/#scholarships

We also offer group discounts to 5 or more participants who registrar together. Groups receive 25% off their registration fee (cannot be combined with sponsored student scholarships).

REGISTRATION
Regular: $975
Early Career Scholars and Cultural Heritage Professionals: $775
Student: $550

Registration fees includes admittance to one course, the HILT Ignite and Social, and a HILT swag bag as well as breakfast and lunch in our campus dining hall.

 http://www.dhtraining.org/hilt2017/important-dates-costs/
 http://www.dhtraining.org/hilt2017

We hope to see you in Austin this summer!

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