Arts & Humanities Research Computing hosts workshops, tutorials, and other training sessions for a variety of digital research tools and methodologies. For more information, or to register for an upcoming training event, please see below. For one-on-one consultations, please contact us directly.
The Fall 2016 Lunch & Learn series invites Harvard faculty and graduate students to explore new and emerging digital workspaces, and demonstrates how these tools can be incorporated into the research lifecycle. Events all take place in the Plimpton Room (Barker 133), and are generally informal in nature. Lunch is provided.
Hacking Mirador: Building Scholarly Scrapbooks (Friday, October 7, 12 – 2 pm) will walk participants through the process of building scholarly articles for the web using Mirador image viewer functionality to take advantage of Harvard’s image collections.
CLTK: Tools for the Ultimate Digital Commentary (Wednesday, October 26, 12 – 1 pm)
The Classical Language Toolkit (CLTK) aims to revolutionize the study of the ancient world by removing barriers to entry for those doing natural language processing (NLP) in Classical languages (namely, the surviving literature of the entirety of Eurasia and north Africa, from roughly 3000 B.C. to A.D. 1500).
As software, the CLTK is a suite of NLP tools (in the Python programming language) and an online research environment (the Classical Language Archive) suited to the special needs of ancient languages. This workshop will introduce the topic of NLP and give general guidance on how to get started with research using the CLTK. While special focus will be given to Ancient Greek and Latin, the principles are applicable to all scholars of Ancient, Classical, and Medieval Eurasia. This event will feature Luke Hollis of Archimedes Digital, and Kyle Johnson, a data scientist and AI researcher working out of the Bay Area (BA, Reed College; PhD NYU in the Classics).
SPARQL: Become a Data Guru (Friday, November 4, 12 – 2 pm) will introduce the SPARQL query language and how participants can generate large datasets from linked data on the web (such as from Wikipedia) with just a few short commands.
A Digital Rosetta: Mapping Multilingual Text (Thursday, November 17, 1 – 2 pm) features Mark Schiefsky, Professor and Chair of the Classics, who will demo a multilingual text annotation tool built by Harvard Academic Technology. The tool was designed originally to support the creation of annotations within side-by-side Greek/Arabic text, but can be adapted to other types of web content as well.