CCDHHN

Students deserve Research Data Management! Teaching with the RDM Educators Kit
2026-05-05 00:00 - 23:59 (America/Halifax) | McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada
Date: May 5 2026

Your students deserve to know about Research Data Management! In this brand-new « train the trainer » session for educators, RDM Services will prepare you to prepare your graduate and undergraduate students for increasing grant and publisher requirements for Data Management Plans and Data Deposit.

« Do my students even have data to manage? » you might ask. Au contraire mon capitane, they do! If research involves biological samples or survey results, you may feel confident you’re working with research data. But what if your research is rooted in creative practice? What if you’re looking for the specific heat of a material under a magnetic field? Data have many formats: text, numbers, images, recordings, software, algorithms, workflows. Research Data Management is caring for data through the research lifecycle: planning to archiving.

We’ll discuss integrating our new RDM Educators Kit in the classroom, from 2-minute slide inserts to RDM class visits to multi-class Data Management Plan creation as an « open hand of cards. » We’ll end with a working session to imagine challenges and possibilities!

Participants will learn to:

Summarize RDM best practices and what Data Management Plans and Data Deposit look like in your field

Locate available tools from RDM Services

Prepare to implement Research Data Management tools in the classroom.

This session is great for educators from faculty to sessional instructors to graduate students ready to bring RDM into their classrooms!

Details: Any preparatory work for the session can be found on its information page. This virtual workshop will be recorded and shared on the same page, and discoverable via the Sherman Centre’s Online Learning Catalogue.

Facilitator Bio:

Isaac Pratt (he/him) is a research scientist by training and has a PhD in Anatomy & Cell Biology. He leverages nearly a decade of interdisciplinary research experience to help support students, staff, and faculty. His expertise lies in questions surrounding data storage, security, planning, archival, and sharing. Isaac also provides support and curation services for McMaster Dataverse. His other interests include reproducible research methods, open science, and data science.

Danica Evering holds expansive experience with research support, education, project management, advocacy, and knowledge translation; with fluency in social practice art, healthcare, community research, data, and systems development. Danica supports students, postdocs, faculty, and staff with RDM through the data lifecycle—Data Management Plans, storage and backup, data security, data sharing. With an MA in Media Studies from Concordia, they are interested in fostering RDM within curious scholars and disciplines.

Certificate Eligibility: This workshop is eligible for the Sherman Centre’s certificate program. For more information, visit scds.ca/certificate-program. It is also eligible for the Canadian Certificate for Digital Humanities. To learn more, visit ccdhhn.ca or contact scds@mcmaster.ca.

Credit Eligibility: This workshop counts toward credit for students in the Faculty of Science who are enrolled in SCIENCE 2SF1: Digital Skills Workshop. For any questions, please contact oursci@mcmaster.ca.

Project Management in the Humanities
2026-05-05 00:00 - 2026-05-08 23:59 | St Francis Xavier University, 4130 University Ave, Antigonish, Nova Scotia, B2G 2W5, Canada
Dates: May 5th 2026 to May 8th 2026

Instructor: Dr. Jennifer Guiliano, Professor of History, Indiana University

Max Participants: 15

Research Data Management for Humanities Researchers
2026-05-05 00:00 - 2026-05-08 23:59 | St Francis Xavier University, 4130 University Ave, Antigonish, Nova Scotia, B2G 2W5, Canada
Dates: May 5th 2026 to May 8th 2026

Instructors:Dr. Andie Silva, Professor of English (York College) and Digital Humanities (CUNY Graduate Center)zelda montes, CUNY Graduate Center

This workshop will explore best practices for immersing students in archival, editorial, and analytical practices that privilege agency, self-discovery, and research-driven writing. Using approaches and tools such as TEI, Scalar, and Hypothesis, we will discuss how to scope, support, and evaluate projects that incorporate digital publishing into a variety of teaching environments. Discussion will be oriented around how to approach public-facing student projects in ways that are mindful of ethical, privacy, and accessibility considerations. Participants will collaborate on designing and scaffolding assignments, consider methods for assessment, and collectively build a repository of resources, links, and prompts.

Max Participants: 25

Research Data Management for Humanities Researchers
2026-05-05 00:00 - 2026-05-08 23:59 | St Francis Xavier University, 4130 University Ave, Antigonish, Nova Scotia, B2G 2W5, Canada
Dates: May 5th 2026 to May 8th 2026

Instructors:Shahira Khair, University of Victoria LibrariesSandra Sawchuck, Mount Saint Vincent Libraries

This intensive four-day hands-on workshop is designed for humanities researchers who want to actively apply best practices in research data management in their own research projects. Recognizing the unique and diverse nature of humanities data—from digitized texts and images, to audio recordings and cultural artifacts—the workshop provides practical, actionable strategies across the entire research data lifecycle, from initial planning to long-term preservation and reuse.

This is a “bring your own data” workshop! Participants should arrive with the research materials they are seeking help in managing. This can be from an existing project or one you are just embarking on! (And we can point you in some directions if you are looking for data!)

Participants will gain proficiency in developing comprehensive Data Management Plans (DMPs), essential for navigating funder requirements (e.g. SSHRC, NEH) and streamlining project workflows. Through practical exercises, the curriculum emphasizes effective organization and documentation of research materials, use of software for analysis and automation, and the critical role of metadata in ensuring data discoverability and long-term reusability. Sessions will cover secure storage solutions and long-term preservation techniques to safeguard valuable research materials.

A significant focus is placed on the ethical dimensions inherent in many research areas in the humanities, addressing sensitive data, informed consent, use of AI, and the crucial principles of cultural sensitivity and Indigenous data sovereignty. The workshop also guides researchers through strategic data sharing by exploring appropriate repositories (disciplinary and generalist), applying robust curation practices, and navigating licensing and persistent identifiers to maximize research impact and compliance with evolving funder and publisher requirements. Upon completion, attendees will be empowered to confidently manage, preserve, and ethically share their research, enhancing the integrity, accessibility, and scholarly impact of their work.

Max Participants: 25

Data Management Plan Bootcamp (In-Person)
2026-05-12 00:00 - 23:59 | McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada
Date: May 12 2026

Let us be your body double with this in-person bootcamp! Data Management Plans (DMPs) are both incredibly helpful research tools and increasingly required for grants but it can hard to know how to complete a Data Management Plan if it’s your first time. If you’re in the process of creating a DMP, either for a grant application or for your own research, join RDM Services for this afternoon session. The RDM services team will provide tailored guidance as you write your plan on site, and we’ll have some light snacks and refreshments to keep you going. Come away with a clear path forward or even a finished DMP!

By the end of this session, participants will be able to:

Identify the 5 key components of a data management plan (DMP).

Compare strong and weak responses in each section of a DMP.

Develop a tailored outline, or potentially a complete draft, of their own DMP!

This participatory session is especially relevant for researchers at all levels in the beginning stages of a research project or streamlining best practices for their research team. Pair this with our Data Deposit Bootcamp May 19, 2026 for a spring research data management intensive for graduate researchers and research staff. Come on your own, send your research staff, or bring your whole research group. Let us know if you’re joining as a research team – we’ll make sure you get a table to work together at!

Details: Any preparatory work for the session can be found on its information page. This workshop will not be recorded.

Facilitator Bio:

Isaac Pratt (he/him) is a research scientist by training and has a PhD in Anatomy & Cell Biology. He leverages nearly a decade of interdisciplinary research experience to help support students, staff, and faculty. His expertise lies in questions surrounding data storage, security, planning, archival, and sharing. Isaac also provides support and curation services for McMaster Dataverse. His other interests include reproducible research methods, open science, and data science.

Danica Evering holds expansive experience with research support, education, project management, advocacy, and knowledge translation; with fluency in social practice art, healthcare, community research, data, and systems development. Danica supports students, postdocs, faculty, and staff with RDM through the data lifecycle—Data Management Plans, storage and backup, data security, data sharing. With an MA in Media Studies from Concordia, they are interested in fostering RDM within curious scholars and disciplines.

Certificate Eligibility: This workshop is eligible for the Sherman Centre’s certificate program. For more information, visit scds.ca/certificate-program. It is also eligible for the Canadian Certificate for Digital Humanities. To learn more, visit ccdhhn.ca or contact scds@mcmaster.ca.

Credit Eligibility: This workshop counts toward credit for students in the Faculty of Science who are enrolled in SCIENCE 2SF1: Digital Skills Workshop. For any questions, please contact oursci@mcmaster.ca.

Data Deposit Bootcamp (In-Person)
2026-05-19 00:00 - 23:59 | McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada
Date: May 19 2026

Data deposit and data sharing are increasingly recognized as best practice to support open research, reproducibility, research integrity, collaboration, and more. Disciplines, funders, and journals are increasingly requiring researchers to share or deposit data. But how do you get your dataset ready for sharing? What’s the best repository to share it in? With light snacks and refreshments to sustain you and specialists on-hand to answer any questions, you’ll end this session with ready-to-submit data…or submitted or even published data!

By the end of this 3-hour session, you will be able to:

Identify the appropriate repository for their dataset.

Outline documentation and metadata best practices

Develop a README file that thoroughly describes the dataset being deposited.

Organize datasets in preparation for data deposit, including metadata entry.

If you have a dataset that’s ready for deposit or that you’d like to get deposit ready, bring it along. No dataset? No problem! We have a sample dataset you can use to go through the process and learn how to deposit data.

This session is ideal for researchers, staff, and students preparing to share data for a publication, grant, or project—and for anyone interested in open data best practices. Graduate students who have completed their thesis work are especially encouraged to attend! Pair this with our Data Management Plan Bootcamp May 12, 2026 for a spring research data management intensive for graduate researchers and research staff.

Details: Any preparatory work for the session can be found on its information page. This workshop will not be recorded.

Facilitator Bio:

Isaac Pratt (he/him) is a research scientist by training and has a PhD in Anatomy & Cell Biology. He leverages nearly a decade of interdisciplinary research experience to help support students, staff, and faculty. His expertise lies in questions surrounding data storage, security, planning, archival, and sharing. Isaac also provides support and curation services for McMaster Dataverse. His other interests include reproducible research methods, open science, and data science.

Danica Evering holds expansive experience with research support, education, project management, advocacy, and knowledge translation; with fluency in social practice art, healthcare, community research, data, and systems development. Danica supports students, postdocs, faculty, and staff with RDM through the data lifecycle—Data Management Plans, storage and backup, data security, data sharing. With an MA in Media Studies from Concordia, they are interested in fostering RDM within curious scholars and disciplines.

Certificate Eligibility: This workshop is eligible for the Sherman Centre’s certificate program. For more information, visit scds.ca/certificate-program. It is also eligible for the Canadian Certificate for Digital Humanities. To learn more, visit ccdhhn.ca or contact scds@mcmaster.ca.

Credit Eligibility: This workshop counts toward credit for students in the Faculty of Science who are enrolled in SCIENCE 2SF1: Digital Skills Workshop. For any questions, please contact oursci@mcmaster.ca.Date:

Wiki pour les universitaires : engagement critique, enseignement et diffusion des connaissances (DHSI 2026)
2026-06-08 00:00 - 2026-06-12 23:59 | Université de Montréal, 3150 Rue Jean Brillant, Montreal, Québec, H3T 1N7, Canada
Description

Ce cours initie les participant·es à découvrir l’écosystème Wikimédia et à ses applications dans l’enseignement postsecondaire et la recherche académique. Les participant·es apprendront le fonctionnement de Wikipédia, Wikidata, Wikimedia Commons et d’autres projets Wiki, ainsi que la manière dont ces outils peuvent être utilisés pour favoriser la pensée critique, enseigner les enjeux liés à la désinformation, impliquer les étudiant·es dans l’édition collaborative et rendre les savoirs scientifiques plus visibles et accessibles, conformément aux principes FAIR.

À travers une combinaison d’exercices pratiques, de discussions critiques et de planification guidée, les participant·es repartiront avec :

un projet de plan de cours intégrant les outils Wiki à leur enseignement ;

un projet de plan de recherche mobilisant les projets Wiki dans leur travail scientifique et leurs activités de mobilisation des connaissances.

Ce cours met l’accent à la fois sur les approches théoriques et pratiques, permettant aux chercheur·euses d’analyser de façon critique les plateformes Wiki tout en y contribuant de manière significative. Il utilise aussi l’approche de la théorie critique pour comprendre et utiliser l’écosystème Wiki.

Enseignant.e(s)

Pascale Dangoisse est chargée de programme pour Wikimedia Canada, où je travaille à une meilleure représentation et intégration des personnes historiquement marginalisées dans l’écosystème Wiki. Ma recherche doctorale (Université d’Ottawa) portait sur la compréhension de la persistance de la discrimination systémique dans les environnements politiques libéraux et progressistes. J’ai également été post-doctorante au Laboratoire des humanités numériques de l’Université d’Ottawa, où j’ai travaillé sur le projet Lesbian and Gay Liberation Canada (avec la professeure Crompton). Je continue d’enseigner les différents obstacles systémiques auxquels les gens sont confrontés au quotidien à travers les outils et les projets Wiki.

Introduction to Computational Text Analysis (DHSI 2026)
2026-06-08 00:00 - 2026-06-12 23:59 | Université de Montréal, 3150 Rue Jean Brillant, Montreal, Québec, H3T 1N7, Canada
Description

Computational text analysis offers powerful tools to explore patterns of style, meaning, and theme in large bodies of text. This intensive, intermediate-level course provides hands-on training in three foundational methods widely used in digital humanities and computational linguistics. Designed to build a solid foundation, the course empowers participants to work independently and develop their skills confidently beyond the classroom.

The course introduces three key digital methods of text analysis that can be applied to virtually any type of text. They are stylometry, word embeddings, and topic modeling. A sample corpus will be provided for the exercises, but the participants are also encouraged to bring their own corpora they would like to work on. The methods will be used to discuss authorship, literary style, chronology, themes of texts, semantics, cultural stereotypes, and their relation to quantifiable measures.

The first method to be explored in depth is stylometry, a technique which measures textual similarity based on word or n-gram frequencies. While best known for its success in authorship attribution, stylometry is also widely used to analyze stylistic trends, thematic structures, and translator-specific features. By the end of this module, participants will be able to conduct stylometric analyses using the stylo package in R, generate visualizations of their results, and build network diagrams highlighting similarities across a corpus. They will also learn how to compare two distinct corpora and detect segments of text likely written by different authors.

The second method covered in the course is word embeddings, a powerful technique grounded in distributional semantics, which represents words as vectors in a multidimensional space. This approach allows for the analysis of meaning, context, and relationships between words, uncovering connotations, cultural associations, and even implicit biases or stereotypes present within a given text corpus.

The third and final core method covered in the course is topic modeling, a technique used to discover recurring patterns across collections of texts. Topics are clusters of words which frequently co-occur within the corpus, based on the assumption that textual proximity reflects underlying semantic relationships. It can be used for text classification, but also for identifying quantifiable features of literary style. The participants will learn how to extract topics from a corpus, identify the most prominent ones in individual texts, and track how topic distributions change across different sections of a single work.

In addition, the course will also introduce some more basic, less complex methods, such as concordance analysis and measures of concordance strength, along with various online tools that can also support computational text analysis. Some basic key concepts of machine learning will also be explained to help the participants understand how certain linguistic models work.

The software used for the course can be easily installed on the participants’ computers. Strong coding skills are not required. However, basic programming knowledge will be helpful to customize the scripts provided for the participants’ own purposes. Basic applications of the presented methods presented during the course will allow the participants to develop tailored solutions for their own research or digital humanities projects.

Instructor(s)

Wojciech Łukasik is a digital humanist affiliated with the Center for Quantitative Research in Political Science at the Jagiellonian University, the Jagiellonian Centre for Digital Humanities, and the Department of Polish Studies. He also cooperates with the Institute of Polish Language at the Polish Academy of Sciences, where he obtained his PhD in linguistics. In his thesis, he applied digital methods including corpus analysis, stylometry, and topic modeling to a corpus of Young Poland literature. His work also involves the digitization of historical dictionaries and data processing for digital scholarly editions.

Jacek Bąkowski is a researcher at the Institute of Polish Language, Polish Academy of Sciences, with an academic background in mathematics, computer science, and linguistics. His research focuses primarily on semantic similarity measures, distributional semantics, and machine learning techniques applied to natural language processing, particularly in the context of South Asian languages. He has also worked on stylometry, lexical analysis, and authorship attribution in Sanskrit texts.

Click here for an example of previous syllabus and course material (2025)

[Foundations] Introduction to Digital Approaches in Music Research (DHSI 2026)
2026-06-08 00:00 - 2026-06-12 23:59 | Université de Montréal, 3150 Rue Jean Brillant, Montreal, Québec, H3T 1N7, Canada
Description

This course introduces current practices in encoding, analysing and presenting music information. It will begin by introducing the philosophy, theory, and practicalities behind encoding symbolic music notation and will then explore pathways for analyzing and publishing that encoded data. Participants should have a basic knowledge of how to read music, but no prior experience with coding or XML is assumed.

Instructor(s)

Timothy Duguid is senior lecturer in Digital Humanities and Information Studies at the University of Glasgow. His current research interests lie in the intersection between digital humanities and historical musicology. In particular, he is focused discoverability for digital research outputs in music, working on a virtual research environment called Music Scholarship Online (MuSO) that will draw together published scholarship, digitized archival materials, and born-digital scholarship into a single online portal. He is also working on a digital edition of the Scottish metrical psalms dating from 1564 to 1640. In addition to providing musical editions of each of the psalm tunes within the psalter, it will provide, for the first time, the Scots transliterations along the anglophone psalm texts. He holds a Ph.D. in music history from the University of Edinburgh in the area of early modern English and Scottish liturgical music, with particular focus on metrical psalmody. His work on Reformation history and early modern music resulted in the creation of a performing edition of the Wode Psalter, an early modern music collection, and he was associate editor for the digital project “Letters in Exile: Documents from the Marian Exile.”

Penser (avec) les Grands Modèles de Langage en Sciences Humaines et Sociales (DHSI 2026)
2026-06-08 00:00 - 2026-06-12 23:59 | Université de Montréal, 3150 Rue Jean Brillant, Montreal, Québec, H3T 1N7, Canada
Description

Ce cours propose une introduction aux usages des grands modèles de langage dans le cadre des recherches en sciences humaines et sociales. Il met l’accent sur les possibilités offertes par l’IA générative pour explorer, structurer et analyser des corpus textuels, tout en interrogeant les dimensions méthodologiques, épistémologiques et éthiques de ces technologies. La pratique constitue le cœur du programme, avec des manipulations concrètes en Python (élaboration de prompts, annotation, classification, clustering, etc.), soutenues par des apports théoriques sur l’histoire, le fonctionnement et l’architecture des modèles. L’objectif est de permettre à chacun et chacune d’identifier les usages pertinents de ces technologies dans ses propres recherches, d’en maîtriser les bases techniques, et d’en questionner les enjeux. Le cours s’adresse à un public issu des sciences humaines et sociales disposant de connaissances préalables en programmation (Python).

Prérequis : Programmation en Python

Enseignant.e(s)

Jean-Philippe Magué est maître de conférences en linguistique et humanités numériques à l’École normale supérieure (ENS) de Lyon. Son parcours universitaire se caractérise par une forte approche interdisciplinaire, mêlant sciences du langage, informatique et analyse des systèmes complexes. Ses recherches portent sur la variation et le changement linguistique, sur les conséquences des technologies numériques sur les structures sociales et sur les compétences linguistiques des grands modèles des langues. Il mobilise notamment des méthodologies issues de l’apprentissage automatique, de la modélisation computationnelle, de la science des données et de la science des systèmes complexes.

Nuts and Bolts of DH Project Development (DHSI 2026)
2026-06-08 00:00 - 2026-06-12 23:59 | Université de Montréal, 3150 Rue Jean Brillant, Montreal, Québec, H3T 1N7, Canada
Description

Are you interested in learning how to support digital humanities research and teaching as a librarian or consultant? Do you want to do a digital humanities project, but aren’t sure what to do or where to start? In this course, participants will be introduced to key areas of DH work, including gathering data and sources, building and sharing projects, preservation and sustainability, and project and resource management.

Through hands-on exercises, participants will learn the fundamentals of common DH methods and the development cycle: from ideation to curation and analysis to publication. This course will equip participants with skills for project planning and development. Our focus will be on aspiring DH librarians, consultants, and early DH or humanities scholars who want an understanding of the landscape. By covering the basics of common methods like text mining, data visualization, digital exhibit building, and project management, participants will walk away with the tools necessary to begin a DH project or support others working on DH.

Instructor(s)

When teaching students and researchers about data, Kayla Abner prioritizes an ethical lens by inviting them to consider who created the data, why, and how the visualization might affect their interpretation. Her interests and skills include data privacy, data and AI ethics, collections as data, and digital humanities. Kayla holds a Master’s Degree in Library and Information Science from the University of Illinois at Urbana-Champaign, and currently works as the Data Visualization and Analysis Librarian at the University of Delaware.

Lauren Cooper (she/her) is the digital scholarship librarian and managing director for the Center for Digital Research/#DigBlk at Penn State University. #DigBlk is home to the Colored Conventions Project, Douglass Day, and the Liberatory Tech. Lauren works with students, colleagues, and partners to implement, develop, and manage digital scholarship and publishing projects with an attention to centering the humanity in digital humanities. She has been the project manager of several major website development projects, migrations, and updates. Lauren has a Master’s in Library and Information Science from the University of Maryland, College Park with a concentration in Archives and Digital Curation and has previously co-taught “Nuts & Bolts of DH Project Development” at Dream Lab (2021-2024).

[Foundations] Text Encoding Fundamentals and Their Application (DHSI 2026)
2026-06-08 00:00 - 2026-06-12 23:59 | Université de Montréal, 3150 Rue Jean Brillant, Montreal, Québec, H3T 1N7, Canada
Description

For those new to the field, this is an introduction to the theory and practice of encoding electronic texts for analysis, online publication, print publication, and long-term preservation. This workshop is designed for individuals who are contemplating embarking on a text-encoding project, or for those who would like to better understand the philosophy, theory, and practicalities of encoding in XML (Extensible Markup Language) using the Text Encoding Initiative (TEI) Guidelines. No prior experience with XML is assumed, but the course will move quickly through the basics.

Instructor(s)

Constance Crompton is a white, queer, able-bodied settler and Canada Research Chair in Digital Humanities. They direct the University of Ottawa’s Labo de données en sciences humaines/The Humanities Data Lab, and are a member of several research project teams: Lesbian and Gay Liberation in Canada, Linked Infrastructure for Networked Cultural Scholarship, the Implementing New Knowledge Environments Partnership, and the Transgender Media Portal. They live and work on unceded Algonquin land.

Click here for an example of previous syllabus and course material (2025)

[Foundations] Coding Fundamentals for Humanists (DHSI 2026)
2026-06-08 00:00 - 2026-06-12 23:59 | Université de Montréal, 3150 Rue Jean Brillant, Montreal, Québec, H3T 1N7, Canada
Description

This course is intended for humanities and social sciences-based researchers without any programming background who would like to understand how code works behind the scenes by writing simple but useful scripts of their own. Over the week the emphasis will be on understanding how computer programmers think so that participants will be able to participate in high-level conceptual discussions in the future with more confidence. These general concepts will be reinforced and illustrated with hands-on developments of simple programs that can be used to help with text-based research and analysis right away.

We will use Python because of its huge popularity, easy syntax, and powerful extensions and we will work in the friendly and convenient Jupyter environment. You will have an opportunity to apply your new knowledge to a project of your own at the end of the course.

This course does not have prerequisites and is itself a great prerequisite for courses on machine learning.

Instructor(s)

Evolutionary and behavioural biologist by training, Software/Data Carpentry instructor, and open source advocate, Marie-Hélène Burle develops and delivers training for researchers on high-performance computing, machine learning, R, Python, Julia, Git, Bash scripting, and cutting edge programming tools for Simon Fraser University (https://www.rcg.sfu.ca/) and the Digital Research Alliance of Canada (https://alliancecan.ca/).

Alex Razoumov earned his PhD in computational astrophysics from the University of British Columbia and held postdoctoral positions in Urbana–Champaign, San Diego, Oak Ridge, and Halifax. He has worked on numerical models ranging from galaxy formation to core-collapse supernovae and stellar hydrodynamics, and has developed a number of computational fluid dynamics and radiative transfer codes and techniques. He spent five years as HPC Analyst in SHARCNET helping researchers from diverse backgrounds to use large clusters, and in 2014 moved back to Vancouver to focus on scientific visualization and training researchers to use advanced computing tools. He is now with Simon Fraser University.

Click here for an example of previous syllabus and course material (2025)

Podcasting from Scratch (DHSI 2026)
2026-06-08 00:00 - 2026-06-12 23:59 | Université de Montréal, 3150 Rue Jean Brillant, Montreal, Québec, H3T 1N7, Canada
Description

This course for beginners will explore the how and why of podcasting. We’ll consider the benefits of the medium, and learn how to plan, record, edit, and publish audio content. Expect to do some listening and reading outside of class time, and have your favourite audio and text editors ready.

Instructor(s)

Robin Davies teaches in the Media Studies Department at Vancouver Island University. He studied Double Bass (BMus) and Music Technology (MA) at McGill’s Schulich School of Music. His interests include the utilization of the human voice in aural storytelling, sound design for visual art, the construction and use of software-based musical instruments for live electronic music performance, and helping others embrace technology for use in their creative endeavours. His sound design and remix work can be heard on releases from six records, maple music, ad noiseam, and Sunchaser Pictures, and as part of the multimedia collective Meridian (meridian.is). Robin has been using podcasts in the classroom since 2006.

Click here for an example of previous syllabus and course material (2025)

Teaching AI Literacy (DHSI 2026)
2026-06-08 00:00 - 2026-06-12 23:59 | Université de Montréal, 3150 Rue Jean Brillant, Montreal, Québec, H3T 1N7, Canada
Description

Generative AI has disrupted higher ed, and many instructors feel caught between over-hyped potential and the realities of the classroom. Faculty everywhere are trying to figure out how to re-imagine their assignments, assessments, courses, and even degree programs. In this course, we’ll explore some of the ways that we can adapt to the changing landscape of higher ed. The approach takes “critical AI literacy” as the focus (with Goodlad, Raley, and others as exemplars). Participants will engage with five short units (supported by scholarly articles, podcasts, whitepapers, blogs, etc). In the tradition of DHSI, the course will move theory into practice every day, shifting from presentation and discussion to hands-on activities, always keeping pedagogy in mind, including: student engagement, academic integrity, mitigating cognitive offloading, and enhancing critical thinking. Content supports a technoskeptical approach to generative AI, and will hold space for faculty who don’t want to assign AI apps.

This course will be optimal for university instructors who want to adapt their pedagogical approaches for AI-impacted classrooms; and for librarians who want to learn about emerging AI literacies and AI-responsive instructional practices to share with instructors and students.

Instructor(s)

D.J. Hopkins is a Professor at San Diego State University, where he is a Director of the Center for Teaching and Learning. Hopkins is a scholar whose research interests include Shakespeare in Performance (including adaptations for film, theatre, and VR) and an academic administrator who has held leadership positions on campus and in the field. His monograph Sleep No More and the Discourses of Shakespeare Performance (Feb. 2024) is available from Cambridge University Press. In 2016, his co-edited Performance and the City collections (Palgrave 2009, 2012) received the Award for Excellence in Editing from the Association for Theatre in Higher Education (ATHE).

Spatial Visualization in/for Digital Humanities Research (DHSI 2026)
2026-06-08 00:00 - 2026-06-12 23:59 | Université de Montréal, 3150 Rue Jean Brillant, Montreal, Québec, H3T 1N7, Canada
Description

This course is a gentle introduction to mapping and spatial visualization for storytelling in the digital humanities. Rather than focusing on a particular software or technical workflow, we will introduce a variety of mapping tools while evaluating respective affordances and limitations. Short lectures and demonstrations will be paired with hands-on exercises and collaborative problem solving, as well as discussions of emerging research areas in cartography and digital mapping. By the end of this course, participants will be aware of the breadth of maps and spatial visualizations possible in digital humanities work, understand their applicability, and have practical experience making them. The pacing and structure of this course is geared towards an audience of geospatial novices to intermediate mappers. While this course will involve some basic coding, no previous coding experience is required.

Instructor(s)

Alex Alisauskas is a Humanities and Social Sciences Librarian (Maps/Geospatial Data) at the University of British Columbia Library where she supports researchers in History, Central, Eastern and Northern European Studies, and Geography, as well as researchers hoping to incorporate maps, spatial methods, and GIS tools in their research. She holds a PhD in Visual and Cultural Studies, and prior to becoming a librarian, she was a professor in art history and liberal studies and conducted research on contemporary art practices. Her current research explores artistic uses of archives, mental health in libraries, and inclusive pedagogical practices in digital scholarship.

Lily Demet is a PhD student in Geography at the University of British Columbia studying everyday spatial practices of navigating the city. Lily’s recent projects include “Making space for deep mapping: rendering theory as practice”, a research-creation master’s thesis in which they theorized through the digital construction of a website while walking Vancouver. Lily is also an artist and freelance cartographer, and teaches mapping and GIS workshops at UBC Library’s Research Commons.

Powering up Digital Editorial Production with LEAF Commons Tools (DHSI 2026)
2026-06-08 00:00 - 2026-06-12 23:59 | Université de Montréal, 3150 Rue Jean Brillant, Montreal, Québec, H3T 1N7, Canada
Description

In this hands-on course participants will learn how to develop and produce a data-rich textual edition using the open-source web-based Linked Editing Academic Framework (LEAF) Commons suite of tools: LEAF-Writer, NERVE, and the Dynamic Table of Contexts. Sessions will involve digital editorial principles and processes. We will concentrate on the editorial workflow (transformation of existing digital images or documents, semantic encoding, linked data annotation generation, publication) and develop mechanisms for effective collaboration and documentation. Learning experiences will be as responsive as possible to participants’ ongoing work – editors with projects anywhere along the production continuum are welcome. By the end of the course participants should have developed skills to make their digital edition processes more efficient, and where tools can (and cannot) aid them in undertaking their own projects.

Instructor(s)

Diane Jakacki is Digital Scholarship Coordinator and Associate Faculty in Comparative & Digital Humanities at Bucknell University. Interests included British performance history, digital scholarly production, and DH pedagogy. She is a co-lead of LEAF (the Linked Editing Academic Framework).

L’IA décryptée : fondements techniques et enjeux en SHS (DHSI 2026)
2026-06-08 00:00 - 2026-06-12 23:59 | Université de Montréal, 3150 Rue Jean Brillant, Montreal, Québec, H3T 1N7, Canada
Description

L’IA, ce mot à la mode qui fascine autant qu’il inquiète, est au coeur de tous les débats. Face à la prolifération de discours souvent contradictoires, il devient difficile de se positionner sans tomber dans la panique ou l’enthousiasme aveugle. Alors, comment comprendre les véritables enjeux de cette nouvelle ère technologique ? Et, surtout, quelles connaissances mobiliser pour en évaluer les impacts réels, notamment sur les pratiques en sciences humaines et sociales ?

Pour évaluer la pertinence des outils d’IA dans les SHS, que ce soit pour l’analyse de texte, la modélisation de données ou l’exploration d’archives, il faut d’abord en saisir les fondements techniques, les choix théoriques et les biais structurels qu’ils peuvent véhiculer. Ce cours propose un retour aux bases de l’intelligence artificielle et de l’apprentissage machine dans une approche opérationnelle, rigoureuse et accessible, qui permet de mieux cerner les capacités et les limites de ces outils.

Cette formation est l’opportunité de s’approprier ce sujet avec la perspective critique qu’il mérite tout en dédramatisant ces nouvelles technologies qui bouleversent nos pratiques. Nous invitons chercheur.euse.s et étudiant.e.s en SHS avec un intérêt pour la programmation mais sans aucun pré-requis à participer à ce cours introductif aux fondements de l’apprentissage machine pour les SHS.

Public visé

Ce cours s’adresse aux étudiant.e.s, doctorant.e.s, enseignant.e.s-chercheur.euse.s en SHS qui s’intéressent à la programmation et aux technologies numériques. Il n’y a pas de prérequis techniques mais un intérêt pour les aspects techniques de la computation est vivement recommandé.

Enseignant.e(s)

Alexia Schneider est doctorante en littérature option humanité numérique à l’Université de Montréal. Elle est membre étudiante du Centre de recherche interuniversitaire sur les humanités numériques (CRIHN) et responsable de projets intégrés au projet Revue3.0 pour la Chaire de recherche du Canada et les écritures numériques. Après des études initiales en littérature française (Université Paris-Sorbonne), elle s’est spécialisée dans le Traitement Automatique des Langues (Université de Strasbourg). Dans le cadre de son doctorat, elle s’intéresse à la recherche d’information en contexte documentaire et en particulier aux pratiques de recherche d’information des chercheureuses ainsi qu’à l’impact des différents modèles d’intelligence artificielle sur la découvrabilité des contenus scientifiques. Elle est récipiendaire d’une bourse doctorale du réseau québécois de recherche Circé.

Yann Audin est candidat au doctorat en littérature — option humanités numériques à l’Université de Montréal et récipiendaire d’une bourse doctorale du CRSH. Il est membre étudiant du Centre de recherche interuniversitaire sur les humanités numériques (CRIHN), responsable de projet pour la Chaire de recherche du Canada et les écritures numériques, et fut le représentant étudiant pour la Société canadienne pour les humanités numériques (SCHN/CSDH) de 2022 à 2025. Il est détenteur d’une maîtrise en littérature comparée de l’Université de Montréal et d’une maîtrise en physique de Bishop’s University. Yann coordonne et coanime la baladodiffusion Skholé – Théories dysfonctionnelles et a lancé dernièrement un blog de recherche : https://yann-audin.github.io/Cybermeneutics/. À l’été 2025, il s’est vu décerner le prix de la promesse étudiante Ian Lancashire et sa dernière publication peut être lue dans la revue Digital Studies / Le champ numérique.

William Bouchard est doctorant en humanités numériques à l’Université de Montréal, membre étudiant du Centre de recherche interuniversitaire sur les humanités numériques (CRIHN) et responsable de projet pour la Chaire de recherche du Canada et les écritures numériques. Formé en études classiques, il s’intéresse à la modélisation des pratiques éditoriales savantes, en particulier dans le champ de la philologie grecque. Ses recherches portent sur l’édition critique numérique, la représentation de la variation textuelle et la structuration des données littéraires. Il explore l’usage de méthodes computationnelles, notamment l’apprentissage automatique, pour analyser, enrichir et reconfigurer les formes d’édition et de lecture des corpus anciens.

Philosophe et spécialiste d’édition numérique, Marcello Vitali-Rosati est professeur au département des littératures de langue française de l’Université de Montréal, titulaire de la Chaire de recherche du Canada sur les écritures numériques et de la Chaire d’excellence en édition numérique à l’Université de Rouen. Il développe une réflexion philosophique sur ce que devient le monde à l’ère des technologies numériques. À partir de l’étude et de la pratique du code, il analyse la manière dont les algorithmes, les formats, les logiciels et les plateformes redéfinissent les notions d’humain, d’identité, de connaissance ou de littérature. Contributeur actif à la théorie de l’éditorialisation, il travaille à la conception de nouvelles formes de production et de diffusion du savoir ainsi qu’à l’élaboration de chaînes éditoriales innovantes. Il est l’auteur de nombreux articles et monographies et exerce également une activité d’éditeur en tant que directeur de la revue Sens public et co-directeur de la collection “Parcours Numériques” aux Presses de l’Université de Montréal. Il est à la tête de plusieurs projets en humanités numériques, particulièrement dans le domaine de l’édition savante: des plateformes d’édition de revues et de monographies enrichies, de l’éditeur de texte Stylo ainsi que d’une plateforme d’édition collaborative de l’Anthologie Grecque.

Introduction to Web Archiving (DHSI 2026)
2026-06-08 00:00 - 2026-06-12 23:59 | Université de Montréal, 3150 Rue Jean Brillant, Montreal, Québec, H3T 1N7, Canada
Description

This introductory course seeks to provide participants with an understanding of how to access, create, and use web archives for research and preservation purposes. Web archiving is the process of collecting web resources in an archival format and making them available for access. These archives are increasingly used to preserve ephemeral information online, and to research past uses of the web and how they reflect or influence broader social and cultural processes.

The course will provide an overview of what web archiving is and why it is important, describe the current tools for accessing and creating web archives, explore how they can be used for research, and discuss the political and ethical issues that arise when archiving the web. The course also has a practical component for participants to create a collection of archived websites of their interest and to draft an archival policy for the websites they will collect. This course can be of interest to students, researchers, and librarians interested in researching online spaces and preserving ephemeral information shared on the web.

Instructor(s)

Alan Colin-Arce is a researcher at the University of Victoria’s Electronic Textual Culture Lab. His research focuses on the influence of language and geography in knowledge production, especially in web archives and scholarly communication. He has contributed to several multilingual digital humanities projects, including the Humanities and Social Sciences Commons, Huellas Incómodas/Uncomfortable Footprints, and Latin American Women’s Rights Movements: Tracing Online Presence through Language, Time and Space.

[Foundations] Introduction to Textual Analysis: A Course on Voyant and Spyral (DHSI 2026)
2026-06-08 00:00 - 2026-06-12 23:59 | Université de Montréal, 3150 Rue Jean Brillant, Montreal, Québec, H3T 1N7, Canada
Description

This course is an introductory level course on textual analysis and visualization, with a specific focus on Voyant Tools and Spyral Notebooks. The course will consist of readings, demonstration of tools, hands-on training on Voyant Tools and Spyral Notebooks. Our intended audience is students, librarians, staff and enthusiasts from different disciplines who study texts. While having a basic understanding of JavaScript might be useful for the second half of the course dealing with Spyral Notebooks, it is not a prerequisite for the course. Our course is designed in such a way that people with no programming skills can participate, learn and reflect on textual analysis, without any disadvantages. Our course requires minimal setup and we expect the participants to show up with only a laptop that can connect to the Internet.

Instructor(s)

Ayushi Khemka is a PhD student and Killam Doctoral Laureate in the Department of Philosophy at the University of Alberta, Canada. Her research interests lie at the intersection of digital humanities, philosophy of race, and philosophy of AI and ethics. She works on training, testing and documentation of Voyant Tools. She is also working as a Highly Qualified Personnel on the Canada First Research Excellence Fund (CFREF) funded ‘Migrant Integration in the Mid-21st Century: Bridging Divides’ research program at the University of Alberta. Outside of her academic adventures, Ayushi can be found yapping about Bollywood, yoga, henna, and mental health.

Andrew MacDonald is a web developer with almost 20 years experience creating open source web applications. Working primarily in the digital humanities field, he has contributed to several significant projects, most notably Voyant Tools. Outside of work, Andrew is an avid cyclist, amateur yogi, and hobbyist generative artist.

Introduction to Linked Open Data and the Semantic Web (DHSI 2026)
2026-06-08 00:00 - 2026-06-12 23:59 | Université de Montréal, 3150 Rue Jean Brillant, Montreal, Québec, H3T 1N7, Canada
Description

This workshop provides an introduction to the web of data for humanities researchers and cultural data stewards. Linked open data is highly structured interoperable data hosted on the web that is structured with semantic relationships so that machines can become partners in discovering, disseminating, sharing, and analyzing data. Done right, LOD contributes to a semantic web of resources that can be accessed and used across multiple online locations, aggregating knowledge and facilitating its reuse: it is FAIR (findable, accessible, interoperable, reusable) data in the most profound sense. The workshop will cover reasons for publishing cultural and research collections as LOD by looking at a range of existing uses in humanities research and GLAM (gallery, library, archive, and museum) contexts.

Participants will gain hands-on experience with several linked open data projects and tools; learn about the resource description framework (RDF), ontologies, and vocabularies used to create linked open data; learn how LOD can be leveraged in queries, visualizations, and web applications; gain an understanding of how LOD is created; and be introduced to a number of practical, ethical, and theoretical considerations that should inform the creation and reuse of diverse, nuanced, responsible, and usable linked open data for cultural research and dissemination. By the end of this workshop, participants should have grasped the major concepts of linked open data and the components of its technology stack; understand the basics of linked data creation, publication, and use; and be positioned to start to develop a linked data project of their own.

Intended audience: Advanced students, subject matter experts and researchers, librarians and data curators from GLAM contexts, research software engineers, and the LOD-curious!

Instructor(s)

Susan Brown (she/her) is a Professor of English and Canada Research Chair in Collaborative Digital Scholarship at the University of Guelph. Her work explores intersectional feminism, literary history, semantic technologies, and scholarly research infrastructure. She is a founding director of Orlando Project on women writers in British literary history, and directs two infrastructure projects: CWRC (“quirk”), the Canadian Writing Research Collaboratory virtual research environment, and LINCS, the Linked Infrastructure for Networked Cultural Scholarship.

Kim Martin (she/her) is an Assistant Professor in History at the University of Guelph and the Associate Director of THINC Lab. Her research focuses on serendipitous experiences of humanities researchers in digital environments, Early Modern London, and makerspaces. Kim is the Research Team Lead for Linked Infrastructure for Networked Cultural Scholarship (LINCS), and is excited to share the tools and knowledge from this project with the DHSI community.

Alliyya Mo (she/her) is Data Interface Developer with the Linked Infrastructure for Networked Cultural Scholarship (LINCS) whose involvement includes data transformation, vocabulary hosting, and interface work including management of the project website and Fuseki triplestore. She completed her Bachelor of Computing at the University of Guelph.

Click here for an example of previous syllabus and course material (2025)

[Foundations] Intersectional Feminist Digital Humanities: Theoretical, Social, and Material Engagements (DHSI 2026)
2026-06-08 00:00 - 2026-06-12 23:59 | Université de Montréal, 3150 Rue Jean Brillant, Montreal, Québec, H3T 1N7, Canada
Description

Although there is a deep history of feminist engagement with technology, this history is often hidden, and feminist thinkers are frequently siloed. In order to address this, the seminar will offer a set of background readings to help make visible the history of feminist engagement with technology, as well as facilitate small-scale exploratory collaboration during the seminar. Our reading selections bring a variety of feminist technology critiques in Media Studies, Human-Computer Interaction, Science and Technology Studies, and related fields into conversation with work in Digital Humanities. Each session is organized by a keyword – a term that is central to feminist theoretical and practical engagements with technology – and will begin with a discussion of that term in light of our readings. The remainder of each session will be spent learning about and tinkering with Processing, a programming tool that will allow participants to engage in their own critical making processes including data visualization, physical computing, creative coding, and interface design. Pushing against instrumentalist assumptions regarding the value and efficacy of certain digital tools, we will be asking participants to think hard about the affordances and constraints of digital technologies. While we will be engaging with a wide range of tools/systems in our readings and discussions, we anticipate that the more hands-on engagement with Processing will help participants think about operations of interface, input, output, and mediation. In addition to the expanded theoretical framework, participants can expect to come away with a new set of pedagogical models that they can adapt and use for teaching at their own institutions.

Instructor(s)

Elizabeth Losh is the Duane A. and Virginia S. Dittman Professor of American Studies and English with a specialization in New Media Ecologies at William & Mary, where she also directs the Equality Lab. Previously she directed the Culture, Art, and Technology Program at the University of California, San Diego. She is the is the author of Virtualpolitik: An Electronic History of Government Media-Making in a Time of War, Scandal, Disaster, Miscommunication, and Mistakes (MIT Press, 2009), The War on Learning: Gaining Ground in the Digital University (MIT Press, 2014), Hashtag (Bloomsbury, 2019), and Selfie Democracy: The New Digital Politics of Disruption and Insurrection (MIT Press, 2022). She is the co-author with Jonathan Alexander of Understanding Rhetoric: A Graphic Guide to Writing (Bedford/St. Martin’s, 2013; second edition, 2017; third edition, 2020). She also edited the collection MOOCs and Their Afterlives: Experiments in Scale and Access in Higher Education (University of Chicago, 2017) and co-edited Bodies of Information: Intersectional Feminism and Digital Humanities (Minnesota, 2018) with Jacqueline Wernimont. She co-chaired the Modern Language Association – Conference on College Composition and Communication Joint Task Force on Writing and AI and is currently co-chairing the MLA Task Force on Generative AI Initiatives.

DH Programming Pedagogy in the Age of AI (DHSI 2026)
2026-06-08 00:00 - 2026-06-12 23:59 | Université de Montréal, 3150 Rue Jean Brillant, Montreal, Québec, H3T 1N7, Canada
Description

In this team-taught workshop, we invite scholars to join us in exploring the relationship between generative AI and the future of programming pedagogy in the digital humanities and a frontline of what the MLA-CCCC Joint Task Force on Writing and AI called “critical AI literacy.” Generative AI offers opportunities to make programming more accessible to diverse learners, and we explore how to use these emerging technologies to build inclusive pathways into programming through natural language interfaces and “literate programming.” This course will emphasize two critical programming languages, JavaScript and Python, that are commonly taught in humanities courses due to their applicability for interactive experiences, public humanities, and textual analysis. This workshop will build participant’s comfort with both generating and debugging code with AI tools, as well as deploying generative AI outside of mainstream commercial projects. Participants will be invited to approach GitHub, Copilot, Hugging Face, TensorFlow, and Jupyter Notebooks through a beginner’s mind, working through, critiquing, and developing assignments and pedagogical applications or their own classrooms. Participants with and without programming experience are welcome.

Instructor(s)

Anastasia Salter is a Professor of English at the University of Central Florida, and the Director of Graduate Programs and the PhD in Texts & Technology for the College of Arts and Humanities. Dr. Salter is the author of Critical Making in the Age of AI (Amherst College, with Emily Johnson, 2025), Playful Pedagogy in the Pandemic: Pivoting to Games-Based Learning (Routledge, with Emily Johnson, 2022), Twining: Critical and Creative Approaches to Hypertext Narratives (Amherst College, with Stuart Moulthrop, 2021), A Portrait of the Auteur as Fanboy (University of Mississippi Press, with Mel Stanfill, 2020), Adventure Games: Playing the Outsider (Bloomsbury, with Aaron Reed and John Murray, 2020), Toxic Geek Masculinity in Media (Palgrave Macmillan, with Bridget Blodgett, 2017), Jane Jensen: Gabriel Knight, Adventure Games, Hidden Objects (Bloomsbury, 2017), What is Your Quest? From Adventure Games to Interactive Books (University of Iowa Press, 2014), and Flash: Building the Interactive Web (MIT Press, with John Murray, 2014). Dr. Salter’s work has appeared in Feminist Media Studies, The Journal of Broadcasting & Electronic Media, The Journal of Popular Culture, Electronic Book Review, Porn Studies, Transformative Works and Cultures, and several other venues. Dr. Salter is currently vice president of the board of directors of the Electronic Literature Organization.

John T. Murray is an Associate Professor of Games and Interactive Media at the University of Central Florida. He is Co-PI on a multi-institutional NSF grant entitled “Virtual Experience Research Accelerator,” for which he is overseeing the software development. The project’s goals are to increase the diversity of participants for virtual reality by creating a public platform for anyone to participate using their own headsets. He was co-author of Adventure Games: Playing the Outsider (with Aaron Reed and Anastasia Salter, Bloomsbury 2020) and Flash: Building the Interactive Web (with Anastasia Salter, MIT Press 2014). His research focuses on interactive narratives and reality media platforms, which includes augmented, virtual, and mixed reality. He was Program Co-Chair for the International Conference on Interactive Digital Storytelling in 2023 and 2024 as well as the Electronic Literature Organization’s annual conference in 2024. Currently he is collaborating with Mark Marino and Maria Cecilia Reyes on “Shields Down,” a VR interactive narrative that incorporates players’ emotional performances into the narrative path. He is currently exploring new programming paradigms through generative AI assistance in immersive authoring in VR.

Constructing Liberatory and Feminist Frameworks in DH Experiential Learning Spaces (DHSI 2026)
2026-06-08 00:00 - 2026-06-12 23:59 | Université de Montréal, 3150 Rue Jean Brillant, Montreal, Québec, H3T 1N7, Canada
Description

This course will guide attendees in developing and enhancing experiential and educational digital humanities programming using liberatory and feminist pedagogical frameworks. Participants will examine strategies for building DH programming that meet the diverse educational and research needs of students, faculty, institutions, and community partners. Participants will engage in critical studies that explain how experiential and educational digital humanities programming can be used to build welcoming and interdisciplinary communities for students that enhance career readiness, collaboration, and skill-building for students while contributing to the research of faculty and community partners. Throughout the course, participants will actively ideate, collaborate, and network while constructing their own project plans for building student-centered curriculum modules, digital humanities labs, and experiential student programs that align with liberatory and feminist pedagogies.

Instructor(s)

Jacquelyne Thoni Howard is a Senior Professor of Practice and Associate Director of Student Engagement at the Connolly Alexander Institute for Data Science at Tulane University. She is a co-editor of the book, Feminist Pedagogy for Teaching Online (AU Press, 2025) and a founding co-editor of the award-winning guide Feminist Pedagogy for Teaching Online (2020). She is also the technical director of numerous digital humanities projects. Her research, teaching, and mentoring work centers on the social and cultural issues relating to the history of data, science and technology studies, data literacy, and convening digital humanities labs.

[Foundations] DH Leadership (DHSI 2026)
2026-06-08 00:00 - 2026-06-12 23:59 | Université de Montréal, 3150 Rue Jean Brillant, Montreal, Québec, H3T 1N7, Canada
Description

This offering is intended for those in, or those considering, leadership roles in DH including leads for collaborative or team projects, academic programs, and administrative roles requiring a broad, deep understanding of DH in terms of resource allocation, professional advancement, integration with institutional mission, and strategic planning. Based on the model of the earlier ‘Chairs and Deans’ course, this offering establishes a cohort that [1] meets as a group for a number of dedicated presentation and discussion sessions throughout DHSI to survey and discuss pragmatic DH basics and leadership issues related to supporting DH and those who practice it, [2] allows those enrolled to audit any and all of the DHSI courses (as non-participatory observers, able to go from class to class), and [3] individually engages in consultation and targeted discussion with the instructors, speakers and consultants contributing to the course, and others in the group outside of course time during the institute.

This is a seminar style / audit-oriented course. Consider this offering in complement with, and / or to be built on by: DH for Chairs and Deans; Introduction to Project Planning and Management for DH: Issues and Approaches; Agile Project Management; Models for DH at Liberal Arts Colleges (& 4 Yr Institutions); Critical Pedagogy and Digital Praxis in the Humanities; Online Collaborative Scholarship: Principles and Practices (A CWRCShop); DH for Librarians; Professionalizing the Early Career Digital Humanist: Strategies and Skills; Social Knowledge Creation / Construction; Intersectional Feminist Digital Humanities: Theoretical, Social, and Material Engagements; and more!

Instructor(s)

Katherine D. Harris, Director of Public Programming, Outreach & Advocacy and Professor of Literature & Digital Humanities at San Jose State University, is a scholar of literature, technology, and pedagogy whose work spans 19th-century British literary annuals, digital editions, and the award-winning Digital Pedagogy in the Humanities. A leader in cross-disciplinary initiatives, she developed the H&A in Action program, chaired the California Open Educational Resources Council, and launched the DH@CSU consortium. She is currently helping establish SJSU’s Advanced Institute for Ethical Technologies, focusing on AI, while also advancing public humanities through projects like Public Art as Resistance. Her recent writing in the Debates in Digital Humanities series explores the challenges of teaching DH at teaching-intensive institutions and sustaining DH centers. You can find her as @triproftri on BlueSky or visit her WordPress site, https://triproftri.wordpress.com.

Glen Layne-Worthey is the Associate Director for Research Support Services in the HathiTrust Research Center, based in the University of Illinois at Urbana-Champaign School of Information Sciences. Glen was Digital Humanities Librarian in the Stanford University Libraries from 1997 through 2019, and was the founding head of the Libraries’ Center for Interdisciplinary Digital Research (CIDR), and a founding member of the Stanford Literary Lab. Long active in the international Digital Humanities community, he hosted the international DH2011 conference at Stanford, and was co-chair of the Program Committee for DH2018 in Mexico City. He recently served as Executive Board Chair in the Alliance of Digital Humanities Organizations (ADHO), and as co-convener of its “DH in Libraries” Special Interest Group. He is co-editor (with Isabel Galina) of The Routledge Companion to Libraries, Archives, and the Digital Humanities and (with Lise Jaillant and others) of Navigating Artificial Intelligence for Cultural Heritage Organisations, both published in 2025.

Ray Siemens is Distinguished Professor in the Faculty of Humanities at the University of Victoria, in English with cross appointment in Computer Science, earlier Canada Research Chair in Humanities Computing. He directs the Electronic Textual Cultures Lab, the INKE Partnership, and until very recently the Digital Humanities Summer Institute. He was an early president of both the Canadian Society for Digital Humanities and the Alliance of Digital Humanities Organizations. For further details, see https://web.uvic.ca/~siemens/.

Building Artificial Intelligence Agents for Digital Humanities (DHSI 2026)
2026-06-08 00:00 - 2026-06-12 23:59 | Université de Montréal, 3150 Rue Jean Brillant, Montreal, Québec, H3T 1N7, Canada
Description

This hands-on, project-based course introduces scholars, educators, and practitioners in the humanities to the creation and use of generative AI agents. Participants will learn how to design, customize, and interact with agents capable of interpreting and generating text, structured data, images, and sound. The course incorporates computational methods into humanistic inquiries in practical and creative ways. We will experiment with Large Language Models, Large Vision Models, Large Audio-Language Models, and Multimodal AI. Designed for digital humanists of all technical backgrounds, the course empowers participants to harness these tools ethically and imaginatively, transforming how they explore meaning, structure knowledge, and tell stories across data formats. Datasets and tools will be provided, though participants are encouraged to bring their own data and experiment with it. The course culminates in a collaborative Project Studio, where participants will showcase the generative agents and prototypes developed throughout the week.

Instructor(s)

Yadira Lizama-Mué is a Postdoctoral Researcher and Assistant Professor of Digital Humanities in the Department of Languages and Cultures at Western University. She has a degree in Computer Science Engineering from the Universidad de las Ciencias Informáticas in Havana and a Ph.D. in Hispanic Studies from Western University. Her work applies AI-driven methods to peace research, cultural analysis, and digital humanities, core areas reflected in this course. At Western University, she teaches hands-on Digital Humanities courses that introduce students to programming as a tool for understanding and interacting with information in the form of text, structured data, images, sound, maps, and networks. Her research and teaching consistently bridge technical and humanistic domains, empowering learners to explore and create with AI critically and imaginatively.

Queer(ing) DH (DHSI 2026)
2026-06-08 00:00 - 2026-06-12 23:59 | Université de Montréal, 3150 Rue Jean Brillant, Montreal, Québec, H3T 1N7, Canada
Description

Queerness and the digital humanities share a common ethos: a desire to make meaning in new ways. Indeed, the intersection of DH and queerness is a site of rich potential that can inspire (and challenge) us to think differently about DH, its methods, its purpose, and its politics. This is true whether we are building a DH project or writing DH critique.

Instructor(s)

Edmond Y. Chang is an Associate Professor of English at Ohio University. His areas of research include technoculture, race/gender/sexuality, video games, RPGs, and LARP, feminist media studies, cultural studies, popular culture, and 20/21C American literature. He earned his Ph.D. in English at the University of Washington. He teaches undergraduate and graduate courses on queer American literature, speculative literature of color, virtual worlds, games, and writing. Recent publications include “Looking for Asianfuturism” in Techno-Orientalism 2.0, “Gaming While Asian,” in Made in Asia/America, “Why are the Digital Humanities So Straight?” in Alternative Historiographies of the Digital Humanities, and “Queergaming” in Queer Game Studies. He is the creator of Tellings, a high fantasy tabletop RPG, and Archaea, a live-action role-playing game. He is also an Assistant Editor for Analog Game Studies and a Contributing Editor for Gamers with Glasses.

Jason Boyd is an Associate Professor of English at Toronto Metropolitan University, Toronto, Canada, where he is also the Director of the Centre for Digital Humanities. He is also affiliated with the Master of Digital Media and the graduate program in Communication and Culture (a joint program with York University). His areas of research include digital text editing/analysis (particularly in relation to biographical texts [the Texting Wilde Project]), narrative games/playable stories (https://storiesinplay.com/), and queer DH. He is co-author (with Bo Ruberg and James Howe) of “Towards a Queer Digital Humanities” (2019), and has recently co-authored (with Bo Ruberg) “Queer Digital Humanities” for the Bloomsbury Handbook of Digital Humanities. Recent work includes “‘The Playing’s the Thing’: Diversifying Digital Shakespeare Through Ludic Adaptation,” and the online exhibit/archive Wilde ’82: A Conference of Some Importance.

Click here for an example of previous syllabus and course material (2025)

Practical JavaScript for Interactive Scholarship (DHSI 2026)
2026-06-08 00:00 - 2026-06-12 23:59 | Université de Montréal, 3150 Rue Jean Brillant, Montreal, Québec, H3T 1N7, Canada
Description

This is a basic introduction to JavaScript, which is the programming language of the web. The class is designed for anyone interested in developing a 2025 site, or creating an interactive data visualization. By the end of this course, you will be able to read JavaScript you find online and adapt it to your needs. You will also have an opportunity to work with common JavaScript libraries/tools and enhance your own research practices.

Instructor(s)

Stephen Zweibel is Digital Scholarship Librarian at the CUNY Graduate Center, where he supports students and faculty in developing digital projects and working with data, individually and through workshops and classes on research skills and tools. Steve earned his MS in Library and Information Science from Long Island University in 2010, and his MA in the DH track of the GC’s Liberal Studies (MALS) program in 2016. He built DH Box, which won a National Endowment for the Humanities Start-Up grant in 2015, and is co-director of DHRIFT, which recently won an NEH Level III Advancement Grant (since canceled!). Stephen sees democratizing computational literacy as a core focus of his service and scholarship.

Zachary Lloyd, Developer, holds an MA in philosophy from The New School. He is currently a PhD student in comparative literature and a Digital Fellow at CUNY Graduate Center. He is also an adjunct lecturer at Brooklyn College and NYU. He hopes to continue building his skills in web development to provide students in the humanities with open-source tools for learning digital skills relevant to their research aims. Through his advocacy for digital literacy, he aspires to help forge scholarly relationships and strengthen interdisciplinary ties among academic communities.

Click here for an example of previous syllabus and course material (2025)

Introduction to Project Planning and Management for DH: Issues and Approaches (DHSI 2026)
2026-06-08 00:00 - 2026-06-12 23:59 | Université de Montréal, 3150 Rue Jean Brillant, Montreal, Québec, H3T 1N7, Canada
Description

This course will cover the basics of project management from project definition to project review upon completion. Topics such as budget setting and controls, risk management, critical path scheduling, software tools, and related Internet resources will also be discussed. Material will be covered through lectures, discussions, case studies, and presentations. By the end of the course, participants will be able to implement the course concepts and tools in their projects.

This course has lecture, seminar, and hands-on components.

Instructor(s)

Lynne Siemens is an Associate Professor in the School of Public Administration, University of Victoria. Her research areas include project management in the academy and academic collaboration. She has taught the Project Management workshop at DHSI since 2006.

Click here for an example of previous syllabus and course material (2025)

Wiki for Academics: Critical Engagement, Teaching, and Knowledge Dissemination (DHSI 2026)
2026-06-15 00:00 - 2026-06-19 23:59 | Université de Montréal, 3150 Rue Jean Brillant, Montreal, Québec, H3T 1N7, Canada
Description

This course introduces academics to the Wikimedia ecosystem and its applications in teaching and research. The course will address questions of authority and content attribution, the reliability of sources, knowledge equity, and the political dimensions of open knowledge. Participants will learn how Wikipedia, Wikidata, Wikimedia Commons, and other Wiki projects function, and how they can be leveraged as tools to foster critical thinking, teach about misinformation, engage students in collaborative editing, and make scholarly knowledge more discoverable and accessible according to FAIR principles. Through a mix of hands-on editing, critical discussion, and guided planning, participants will leave with:

a draft course plan for integrating Wiki tools into their teaching; and a draft research plan for using Wiki projects in their scholarship and knowledge mobilization.

This course emphasizes both theoretical and practical approaches, equipping scholars to critically analyze Wiki platforms while also contributing meaningfully to them. This course also integrates critical theory and practice in understanding and using the Wiki ecosystem.

Instructor(s)

Pascale Dangoisse: Program Officer for Wikimedia Canada, I conduct work towards a better representation and integration of historically marginalized people into the Wiki ecosystem. My doctoral research (University of Ottawa) focused on understanding the persistence of systemic discrimination in liberal and progressive political environments. I was also a postdoctoral fellow at the University of Ottawa’s Digital Humanities Lab, where I worked on the Lesbian and Gay Liberation Canada project (with Prof. Crompton). I continue to teach about the various systemic barriers that people face on a daily basis through Wiki tools and projects.
