We turn five!
Mon, 23 Mar 2015 13:37:08 +0000
Five years ago, we were in the final run up to the official launch of UCL Centre for Digital Humanities, at an event that happened in May 2010. And such a lot has happened since then! We’ve worked on a range of projects, from helping sort out linguistic issues with domain names and how best […]Read more...
Mon, 23 Mar 2015 11:56:14 +0000
PanoptiCam is a new project running a surveillance camera on Jeremy Bentham’s cabinet in the university’s South Cloisters: Seeing Jeremy Bentham’s auto-icon can evoke a wide array of emotions from surprise and shock to mirth. PanoptiCam captures people’s reaction using a webcam mounted above the auto-icon, with the camera feed posted to our website […]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