Event description

Computers and software are now inescapable in our daily lives - while much of our research might now be enabled or mediated by these computers, that doesn’t mean that our research practices have fundamentally changed - a digital library is still recognisably a library.

  • What does computational thinking mean for the humanities?
  • How can the humanities embrace computing and computational approaches on their own terms, and avoid simply scavenging and repurposing approaches developed within other fields?
  • How do we resist having our “problems” “solved” for us?
  • What are the methodological and epistemological foundations of a field that is both computational and of the humanities - does computation actually change the nature of what we do?

This international workshop will bring together speakers to address this topic, drawing on perspectives from several fields. We hope that this event will prompt reflection, introduce new ideas, spark discussions and plant the seeds for future collaborations.

Program

Part I (90 min)

  • Opening and Introductions

  • Plenary 1: Krista Lagus: Bridging the impossible - How to avoid bringing technodystopia to the social sciences

  • Plenary 2: Barbara McGillivray: Computational approaches and the Humanities: what might await us?

Break

Part 2 (80 mins)

Plenary Speakers

Krista Lagus

Krista is full professor at the University of Helsinki in the Centre for Social Data Science, CSDS. There, she applies quantitative and qualitative data analysis methods in order to understand various individual and social practices that affect the well-being of individuals. Recent topics of interest include loneliness, peer support, mindfulness practices and life-philosophical lecturing.

Barbara McGillivray

Barbara is lecturer in Digital Humanities and Cultural Computation at the Department of Digital Humanities of King’s College London and a Turing Research Fellow at The Alan Turing Institute. She is also Editor in Chief of the Journal of Open Humanities Data. Before going back to academia, Barbara was language technologist in the Dictionary division of Oxford University Press and data scientist in the Open Research Group of Springer Nature.

Barbara has always been passionate about how the sciences and the humanities can meet. Her most recent book is Applying Language Technology in Humanities Research. Design, Application, and the Underlying Logic, co-authored with Gábor Mihály Tóth and published by Palgrave Macmillan in 2020.

 

More information

About The Language Technology and Data Analysis Laboratory (LADAL) Webinars

The Language Technology and Data Analysis Laboratory (LADAL) is school-based support infrastructure for computational humanities research established and maintained by the UQ School of Languages and Cultures. The LADAL is part of the ARDC Australian Text Analytics Platform (ATAP) which represents a nation-wide attempt to foster computational skills in HASS. It collaborates with and shares expertise with several Australian and international centres, institutions, researchers, and experts.

The LADAL consists of a specialist computing lab for language-based computational and experimental work (the Computational and Experimental Workshop) and an online virtual lab (the LADAL website). The LADAL website offers self-guided study materials and hands-on tutorials on topics relating to digital tools, computational methods for data extraction and processing, data visualization, statistical analyses of language data, and provides links to further resources and short descriptions of digital tools relevant for digital HASS research. In addition, the LADAL offers face-to-face consultations and specialized workshops. SLC researchers are encouraged to contact LADAL staff for advice and guidance on matters relating to digital research tools, data visualization, various statistical procedures, and text analytics.  As such, the LADAL offers pathways to new research possibilities in HASS with a focus on computational quantitative text analytics.

 

Venue

Online via Zoom
Room: 
https://uqz.zoom.us/j/86311263161