Bridging disciplines in analysing text as social and cultural data (#aTTACheD*)

The potential benefits of using large-scale text data to study social and cultural phenomena is increasingly being recognized, but researchers are currently scattered across a range of often distinct research communities. However, many methodological challenges cut across research disciplines and require interdisciplinary synergies. This workshop aims to address the gap between research methodologies in NLP/ML and the humanities and the social sciences.

Invited Speakers

Ken Benoit
Kenneth Benoit
(London School of Economics and Political Science)
Joanna Bryson
Joanna Bryson
(University of Bath/Princeton)
Jacob Eisenstein
Jacob Eisenstein
(Georgia Tech)
Dennis Tenen
Dennis Tenen (Columbia)
Rebekah Tromble
Rebekah Tromble (Leiden University)
Jane Winters
Jane Winters (University of London)

Registration

Applications are now closed. Notifications will be sent out by the 26st of June (updated!)

Participation is free but unfortunately we can only accept a limited number of participants. Please apply by the 7th of June. We aim to have a balanced representation of participants from the different disciplines relevant to this workshop and a range of levels of seniority. Participants should expect to engage with researchers outside their discipline and be able to attend both days.

Student travel support We are able to offer four student travel grants of up to £250 each to support travel/accommodation. Please mention that you are a student in the application form and provide any relevant information in the comments section.

Date

21-22 September, 2017

Venue

Alan Turing Institute, London, UK

Organisers

Dong Nguyen (Alan Turing Institute/Edinburgh University), Maria Liakata (Alan Turing Institute/Warwick University) and Adam Farquhar (British Library)