[Commlist] Digital Methods Summer School at The University of Manchester

3^rd  Digital Methods Summer School at The University of Manchester, 6 
and 10 July 2026, with a focus on:
·        Visual Methods
·        Sensing AI Methods
·        Creative AI Methods
·        Text Analysis with R
·        Data Visualisation
·        Geospatial Methods
·        Ethics & Open Science

For more details, see: https://new.express.adobe.com/webpage/53uwG1yp7TISE

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Course Overview

Key digital developments, such as increasing volumes of available data, 
the automation of data collection, and the critical adoption of digital 
and computational methods across the humanities and social sciences have 
had profound effects not only on academic research but also on what 
qualifies as knowledge.

This course offers an introduction to digital methods and practical 
experience of how to use a range of digital tools, techniques, and 
software to study culture and society. You will explore how digital 
methods and methodologies have shifted and changed over time, including 
their affordances and limitations.

You will be introduced to state-of-the-art approaches (visual methods, 
geospatial methods, text analysis, data visualisation, sensing AI 
methods, and creative AI methods) and have a chance to apply them to 
create, analyse, and question data. You will also explore the usefulness 
of digital methods for your own research projects as well as the 
methods’ ethical and open-science implications.

The course is taught by the core team of the Centre for Digital 
Humanities, Cultures and Media based in the School of Arts, Languages 
and Cultures. The Centre brings together staff, students, and external 
partners who work at the intersection of the humanities, social 
sciences, and technology. With one of the largest concentrations of 
humanities scholars in the UK, a long tradition of innovation, and an 
outstanding pool of computational expertise, The University of 
Manchester is harnessing cutting-edge digital methods and technology to 
address new research challenges across the humanities and social sciences.

Dr. Giulia Grisot is a Lecturer in Digital Humanities. Her work focuses 
on how humans process and understand language and literature, with a 
particular interest in empirical and computational approaches, including 
distant reading, eye-tracking, stylistics, and reader response.

Dr. Sam Hind is a Lecturer in Digital Media and Culture. His research 
interests include machine vision and machine learning cultures, tech 
innovation and competitions, and creative AI methods.

Dr. Ashley Mattheis is a Lecturer in Digital Media and Culture.

Dr. Luca Scholz is a Senior Lecturer in Digital Humanities and History. 
He is interested in analysing and questioning data in historical and 
humanistic inquiry.

Dr. Łukasz Szulc is a Senior Lecturer in Digital Media and Culture. He 
specialises in critical and cultural studies of digital media at the 
intersections of gender, sexuality, and transnationalism, currently 
working on dating cultures.

Course Objectives


This course's aim is to introduce participants to several key digital 
methods and support you to critically reflect on their affordances and 
limitations.

By the end of the course, you should be able to:

    Analyse and critique how digital methods and methodologies are used 
to generate and question knowledge
    Assess and evaluate a range of digital technologies for particular 
research questions
    Apply a range of digital tools to offer novel perspectives on 
important cultural and social issues
    Compare and contrast different digital research methods, their 
advantages and limitations
    Critically reflect on the ethical and open-science implications of 
using digital methods

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