3D Modelling
Google Ngram Viewer
Infrapolitics and Mass Digitation
Introduction to Feminist Digital Humanities
What is it We all know what a hashtag is: it brings attention to a topic is a post or social media, it stemmed from an idea by Chris Messiner back on August 23rd, 2007 when he thought of an idea to use the hashtag as a way to group
Bias, is a significant and ubiquitous influence on data collection, reflecting the zeitgeist, beliefs, social taboos and sentiment of the archivists through the ages. It’s ultimately unavoidable that political and social prejudices impact the way we store and collect data. It is therefore not surprising that data collection in the West has vestigial ties
In a broad sense, Machine learning (ML) describes an algorithmic process that allows categorical derivation of mathematical classifiers, based on statistical analysis of categorized “training data”, enabling a machine intelligence to make informed predictions based on data acquired (Bickler, 2021). As the study of Archaeology has shown proscription of emphasis
Artificial Intelligence (AI) and machine learning are rapidly becoming integral parts of modern society. As we learn to coexist and even, in some cases, rely on these tools, we must also traverse the ethical issues associated with them. One ethical issue that arises with the continued emergence of AI and
Data broadly, and particularly ‘big data’, is increasingly leveraged to develop a wealth of digital projects and products across academia, government and the commercial sector. While often celebrated for being ‘frictionless’ and enabling efficiency through automation, these processes of computation and digitisation implicate human labour at every stage of the
Data and the Humanities
A wide range of humanities data can be analysed, including text (from literature, newspapers and social media), images (from art history and traditional or social media) and material culture (from representations of artefacts, to ethnographic reports of their creation). The creation of structured data in the form of data tables, with features
New CDHR publication | Renee Dixson in the International Journal of Information, Diversity and Inclusion
Congratulations to current CDHR PhD student Renee Dixson on the publication of their new article stemming from her PhD research. Dixson, Renee E, ‘What About Us? Preserving LGBTIQ+ History of Forced Displacement’, The International Journal of Information, Diversity, & Inclusion, Vol.5. No.4: Queering Information: LGBTQ+ Memory, Interpretation, Dissemination (2021), 43–68. https://jps.library.utoronto.ca/index.php/ijidi/article/view/36524 Abstract: This article outlines the research
Digital Approaches to Multilingual Text Analysis
Online symposium that discussed the complex dynamics of applying digital approaches in multilingual text analysis About this event The use of DH tools and methods have been applied across a variety of corpora but text-analysis of English language sources has dominated this field. These approaches are increasingly being used in
Play games and give feedback, for research! Travel through time and visit Antartica (virtually)
One of our Masters students, Sophia Booij, has recently collaborated with the National Film and Sound Archive to develop a text-adventure game called “Home of the Blizzard”. The premise is you go along with the first Australian Antarctic expedition and try and make sure they don’t all die! It’s in
Participate! We want your feedback on a new digital tour of the ANU sculpture collection
A prototype digital tour of the ANU sculpture has been developed by one of the Centre for Digital Humanities research Honours students, Ting Wang in collaboration with ANU Collections, ANU Heritage and she is looking for your feedback on the tour to help guide future development and to support her