5 things we’ve learned about Digital Humanities in the last 5 years
Sun, 24 May 2015 14:51:13 +0000
At the end of May, 2015, it will be exactly five years since the formal launch of UCL Centre for Digital Humanities. Our mission is “is to champion, catalyse, promote, facilitate, undertake, advise and publicise activities in Digital Humanities (with as wide an interpretation of that phrase as possible) throughout the founding Faculties and UCL, […]Read more...
This week: UCL Laptop Orchestra (UCLOrk) at the UCL Festival of the Arts
Mon, 18 May 2015 11:27:55 +0000
The UCL Laptop Orchestra (UCLOrk) is performing this week on Wednesday 20th May at 1pm in the Quad Events Space as part of the UCL Festival of the Arts. The one-hour lunchtime session will comprise a lecture/recital on the history and practice of laptop orchestras, combined with performances of three pieces written by members of […]Read more...
"Exploring Enlightenment: Text Mining the 18th-Century Republic of Letters", a DH Month talk
Publication date: Mar 27, 2013 05:11 PM
Start: Apr 18, 2013 05:30 PM
Location: G31, Foster Court
Glenn Roe, Faculty of Medieval and Modern Languages, University of Oxford
The challenge of ‘Big Data’ in the Humanities has led in recent years to a host of innovative technological and algorithmic approaches to the growing digital human record. These techniques—from data mining to distant reading—can offer students and scholars new perspectives on the exploration and visualisation of increasingly intractable data sets in the human and social sciences; perspectives that would have previously been unimaginable. The danger, however, in these kinds of ‘macro-analyses’, is that scholars find themselves increasingly disconnected from the raw materials of their research, engaging with massive collections of texts in ways that are neither intuitive nor transparent, and that provide few opportunities to apply traditional modes of close reading to these new resources. In this talk, I will outline some of my previous work using data mining and machine learning techniques to explore large data sets drawn primarily from the French Enlightenment period. Building upon these past experiences, I will then present my current research project at Oxford, which uses sequence alignment algorithms to identify intertextual relationships between authors and texts in the 18th-century “Republic of Letters.” By reintroducing the notion of (inter)textuality into algorithmic and data-driven methods of macro-anlalysis we can perhaps bridge the gap between distant and close readings, by way of an intermediary mode of scholarship I term ‘directed’ or ‘scalable’ reading.
All are welcome, a drinks reception will follow the talk. Please register as places are limited.
Part of UCL's Digital Humanities Month.
Page last modified on 27 mar 13 17:07 by Sarah Davenport