The recent interest in Big Data has generated a broad range of new academic, corporate,
and policy practices along with an evolving debate among its proponents, detractors, and …

Data is a crucial component of machine learning. The field is reliant on data to train, validate,
and test models. With increased technical capabilities, machine learning research has …

A proposal that we think about digital technologies such as machine learning not in terms of
artificial intelligence but as artificial communication. Algorithms that work with deep learning …

" This book highlights that the capacity for gathering, analysing, and utilising vast amounts of
digital (user) data raises significant ethical issues. Annika Richterich provides a systematic …

This accessible, alphabetical guide provides concise insights into a variety of digital
research methods, incorporating introductory knowledge with practical application and …

How was the Roman Empire invoked in Brexit Britain and in Donald Trump's United States
of America, and to what purpose? And why is it critical to answer these kinds of questions …

What can a big data approach bring to the study of the early modern Republic of Letters?
This is the question we asked ourselves in our collaborative project Mapping the Republic of …

With the rapid development of the digital humanities (DH) field, demands for historical and
cultural heritage data have generated deep interest in the data provided by libraries …

Names: Dunst, Alexander, 1980–editor.| Laubrock, Jochen, editor.| Wildfeuer, Janina, 1984–
editor. Title: Empirical comics research: digital, multimodal, and cognitive methods/edited by …

Purpose–Library and information science (LIS) and the digital humanities are both
interested in studying recorded information and often share institutional frameworks. The …