New Project – MiCLUES
Mon, 10 Mar 2014 16:52:29 +0000
We recently started a project called MiCLUES to develop dynamic smartphone-based visitor guidance algorithms and software for the Royal College of Music Museum of Instruments. The aim is to enable visitors to make better use of the combined physical and digital collections and to chart both curated and personalised paths through the museum. The project [...]Read more...
AHRC Big Data Project – Digital Music Lab
Mon, 10 Mar 2014 16:44:13 +0000
We recently started a new project in the area of big music data. Digital Music Lab – Analysing Big Music Data is an AHRC project funded under the Big Data call of the Digital Transformations in the Arts and Humanities Theme. Our goal is to develop research methods and software infrastructure for exploring and analysing [...]Read more...
"Exploring Enlightenment: Text Mining the 18th-Century Republic of Letters", a DH Month talk
Publication date: Mar 27, 2013 5:11:48 PM
Start: Apr 18, 2013 5:30:00 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