Results 11 to 18 of 18
Mapping has always played an important part in humanities research, but the growth in accessibility of digital mapping technology has changed how humanists use maps, both for research and to tell stories from that research to a range of audiences. This workshop looks at ‘story maps’, that is, maps that tell a story from humanities...
Workshop for staff designed to foster collaboration and the development of interdisciplinary research ideas for external grant applications that address Health Challenges. There are huge opportunities in developing and applying AI techniques to health challenges, ranging from using tools to analyse MRI images, applying physics-inspired machine learning to understand blood flow in the heart, through...
Where is Leeds and what is Leeds? This introduction to mapping session explores these questions through the lenses of digital mapping approaches and techniques to provide participants with a toolkit to carry out their own spatial investigations. During the session we will explore crazy coordinate conundrums, the wacky world of geocoding services, and a selection...
Bringing digital humanities into the classroom is an exciting discipline-specific way to develop research skills and enhance digital literacy within the arts and humanities. This workshop will explore how to use textual analysis and data exploration in your teaching, through the Gale Digital Scholar Lab. You may already be familiar with the Gale online archives...
A free workshop to explore the future uses of person-matching technology in archival records.
What: This LAHRI/DCCH Digital Humanities workshop, designed for beginners, is a ‘taster’ session which aims to demystify the practical process of transcription and markup of archival sources, and the role of these tools in undertaking digitally-informed archival research. The workshop will introduce the practical and conceptual principles of transforming archival material into computer-readable text. The...
A half-day sandpit event to bring together colleagues from across the university, and the wider N8 network, to explore possibilities for problem-solving, collaborating, and networking in machine learning and digital humanities. For staff across the N8 organisations.
Do you use R to analyse language data? Do you have complex datasets that require statistical analysis? Bayesian linear models have been increasingly adopted by researchers in speech and language sciences to deal with complex datasets that involve repeated measures from participants and items.