Tag Archives: digital scholarship

MLA Conference Diary (Reflection on Challenges, Evolving Roles, and Community)

Posted on March 11, 2016 by

Cross-posted on the MLA Conference Diary (IAML website). The annual conference of the Music Library Association was held March 2-5, 2016 in Cincinnati, Ohio. 

Each year the MLA conference brings together people with a shared interest in music librarianship and music resources. While this interest may be directly linked to our professional roles and careers, we also represent a community of people who may have started out as musicians, archivists and librarians working with music-specific materials, but now represent roles in emerging or evolving areas, such as metadata, discovery services, digital preservation, or digital humanities. It is this sense of community that brings me (and others I know) to the MLA conference every year.

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Reflections on my week at DHSI 2014

Posted on June 9, 2014 by

This was my first time attending the Digital Humanities Summer Institute at the University of Victoria, the first of what I hope will be one of many to come. DHSI is now in its 14th year and this year’s directorial group included Ray Siemens (University of Victoria), Constance Crompton (University of British Columbia, Okanagan), Jentery Sayers (University of Victoria), Diane Jakacki (Bucknell University), and Jason Boyd (Ryerson University). [Full bios and other members who helped make DHSI happen can be found here.] The purpose of this institute is to introduce and train scholars, students, librarians, and other professionals in the humanities, as well as other disciplines, to new computing tools and methodologies through an intensive, week-long training period. You can view the full course listings offered this year, as well as past DHSI course offerings.

I enrolled in the Understanding Topic Modeling course, led by Neal Audenaert a Senior Software Engineer (Texas A & M University, Texas Center for Applied Technology). This course introduced participants to the algorithms, models, and theories used in Topic Modeling, specifically LDA (latent dirichlet allocation), and a variety of topic models that can provide different understandings of your data, such as modeling topics over time (dynamic topic modeling). I’ll discuss my class experience in greater detail in a future post with examples of the material we covered during this course and some of the data that I worked with. In this post, I will provide a brief overview of my experience and discuss some of the projects, tools, and discussions, which interested me while at DHSI.  (more…)

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