CCDHHN

Textual Analysis using Python for HSS - Using LLMs
2026-03-12 00:00 - 23:59 (America/Halifax)
COURSE DESCRIPTION

This is the fourth part of the four-part series for humanities and social sciences researchers (HSS) and librarians.

Modern Text Analysis with Python explores the evolution of linguistic computation, moving beyond static rules of conventional natural language processing (NLP) techniques toward the era of Large Language Models (LLMs). Participants will navigate the shift from simple word representations to sophisticated context-aware embeddings, exploring practical applications of LLMs such as automated summarization, sentence completion, and advanced sentiment analysis using popular language models like GPT, BART and BERT. The session concludes with hands-on insights into state-of-the-art models like Gemini, Claude, and GPT-5, focusing on how to integrate these powerhouses into workflows via application programming interface (API).

This is a continuation of the HSS Python and TextBlob Series. It is highly recommended that you complete the 2-part Python series, Introduction to Python & Coding for HSS – Part I & II in the HSS Python Series, as well as Introduction to Text Analysis with Python using TextBlob before registering for this session.

You do not need any previous knowledge of the tools that will be presented.

You need a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc) on which you have administrative privileges, as you may need to pre-load specific software packages.

Instructor: Yashar Monfared

Data Bites - Creating README Files for Research Data
2026-03-16 00:00 - 23:59 | The University of British Columbia, 1958 Main Mall, Vancouver, British Columbia, V62 1Z2, Canada
This hands-on workshop, delivered by the UBC Library Research Data Management team, introduces the importance of README files in documenting research data for long-term access and reuse. Designed for graduate students, researchers, and staff, the session provides practical guidance for creating clear, consistent, and useful data documentation.

Participants will learn how to:

Use templates and open tools to create and maintain README files throughout the research lifecycle

Identify the key components of an effective README file, including dataset description, file structure, and usage instructions

Apply best practices to improve data transparency, usability, and alignment with FAIR principles

Presenter(s): Eugene Barsky, Vanessa Choy

Social Media Data! Practical and Ethical Collection, Visualization, and Management
2026-03-19 00:00 - 23:59
Date: March 19 2026

From Reddit threads to TikTok trends, social media is deeply embedded in our daily lives. These platforms fuel polarization, connect queer communities, raise awareness about rare diseases, amplify both grassroots movements and gender-based violence, and even shape the new recipes we cook for dinner. With this flood of seemingly public content, it’s no surprise that researchers are increasingly turning to social media as a rich (and complicated!) source of data.

This hands-on workshop covers both practical techniques and ethical considerations for working with social media data. You’ll learn from experts across digital scholarship, research data management, and data analysis:

How to Collect to Social Media Data: Digital Scholarship Librarian John Fink will demo manual collection and scraping tools like the Digital Methods Initiative’s Zeeschuimer and 4CAT.

How to Analyze Social Media Data: Data Analysis and Visualization Librarian Subhanya Sivajothy will intro how to comb through social media data and show patterns.

How to Manage Social Media Data: Research Data Management Specialist Danica Evering will share tools and best practices for wrangling and organizing social media data.

How to Navigate Social Media Data Ethics: Digital Scholarship Coordinator Alexis-Carlota Cochrane will explore ethical considerations for researching social media, including strategies for protecting privacy and minimizing harm throughout the research and publication process.

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

Collect social media data using both manual and automated scraping tools like Zeeschuimer and 4CAT.

Analyze datasets to identify key trends and insights with introductory data exploration techniques.

Organize and manage social media data effectively by applying recommended best practices and tools.

Understand and address ethical challenges in social media research, including protecting privacy and minimizing harm at all stages.

This session is ideal for researchers, students, and practitioners across disciplines who are curious about using social media data in their work and want to approach it thoughtfully, ethically, and responsibly.

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:

Alexis-Carlota Cochrane (she/they) is the Digital Scholarship Coordinator at the Sherman Centre for Digital Scholarship. In her role, she connects students, faculty, staff, and community members to resources, tools, and training that advance their digital research projects. Alexis is also PhD Candidate in the Department of Communication Studies and Media Arts at McMaster University. Her research interests include critical data studies, platform studies, data feminism, online harms, data justice, and digital humanities.

Danica Evering holds broad 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.

John Fink is the Digital Scholarship Librarian in the Sherman Centre.

Subhanya Sivajothy (she/her) brings a background of research in data justice, science and technology studies, and environmental humanities. She is currently thinking through participatory data design which allow for visualizations that are empowering for the end user.

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:

Data Bites - Optimize Directory Structures for Research Data
2026-03-23 00:00 - 23:59 | The University of British Columbia, 1958 Main Mall, Vancouver, British Columbia, V62 1Z2, Canada
This practical workshop, delivered by the UBC Library Research Data Management team, focuses on strategies for organizing research data using clear and logical directory structures. Designed for graduate students, researchers, and staff, the session helps participants manage files more effectively to support collaboration, reproducibility, and long-term data stewardship.

Participants will learn how to:

Apply best practices to maintain consistency and clarity throughout the research lifecycle

Design directory structures that reflect research workflows and support project organization

Implement naming and hierarchy conventions for easy navigation and version control

Presenter(s): Eugene Barsky, Vanessa Choy

Makerspace Orientations: 3D Printing
2026-03-24 00:00 - 23:59 | York University, 4700 Keele Street, Toronto, Ontario, M3J 1P3, Canada
Date: March 24 2026

Presenter: Jacob Turola

Join us for this introduction to a staple in makerspace technology! Attendees will get started with 3D printing in the makerspace. The session will cover how to find a file, process it for printing and run the machine. All are welcome, and everyone gets to keep what they make.

La création de cartes interactives avec uMap
2026-03-24 00:00 - 23:59 | UQAM | Université du Québec à Montréal, 400 rue Sainte-Catherine, Montreal, Québec, H2L 2C5
24 March 2026

L’application en ligne uMap permet de créer et de diffuser des cartes géographiques personnalisées, interactives et collaboratives. uMap est utile pour les chercheurs et étudiants universitaires, car l’application permet de présenter des données sur une carte en ligne et de collaborer à plusieurs personnes sur une même carte, offrant ainsi une plateforme conviviale pour la visualisation et la communication efficace des informations géospatiales.

La première partie de l’atelier propose un tour d’horizon des principales fonctionnalités de uMap et des étapes nécessaires pour vous lancer dans la création de votre première carte géographique interactive. Dans la deuxième partie de l’atelier, notre équipe sera là pour vous aider à créer votre première carte en ligne adaptée selon vos champs d’intérêts et besoins.

[Cette formation aura lieu au Laboratoire de données et humanités numériques de la bibliothèque centrale, local A-M203]

Atelier présenté et animé par Katerine Grandmont

Katerine Grandmont occupe le poste de technicienne en cartographie à la Cartothèque de l’UQAM. Elle détient une maitrise en géographie et a travaillé de nombreuses années dans le domaine de la recherche nordique, notamment à la cartographie des risques en milieux de pergélisol. Elle offre du soutien à la communauté universitaire pour l’utilisation d’outils et logiciels de cartographie et d’analyse spatiale et l’utilisation des données géospatiales.

Webmapping
2026-03-30 00:00 - 23:59
This workshop will first give an introduction to web maps, including the differences between digital maps and web maps, their structure, and how they work. The second part of the workshop will be a short hands-on session where we will create our own web map using Leaflet.js. Intro to Web Maps

Why web maps?

Web map vs digital map

Map tiles

GeoJSON

Structure of a web map

Hands on with Leaflet.js

Intro to using your source code editor

Examine the map “boilerplate”

Configure the load location and zoom level

Change base layer

Add building data

Examine building data attributes

Configure a popup

This workshop is taught by a graduate student in Geography with expertise in GIS and cartographic methods.

Workshop Link: https://ubc-library-rc.github.io/gis-intro-leaflet/

Things to do before arriving:

This workshop will require the use of an internet browser and source code editor. We recommend downloading Mozilla Firefox for your browser, and VS Code as a source code editor.

Presenter(s): Lily Crandall-Oral

Data Bites - Creating a Data Dictionary for Research Projects
2026-03-30 00:00 - 23:59
This practical workshop, delivered by the UBC Library Research Data Management team, introduces the purpose and structure of a data dictionary to support clear, consistent, and reusable research data. Designed for graduate students, researchers, and staff, the session emphasizes how data dictionaries enhance data documentation, sharing, and reuse.

Participants will learn how to:

Use templates and tools to build data dictionaries that promote transparency and reproducibility across research projects

Identify key components of a data dictionary, including variable names, definitions, formats, and units

Create and maintain a data dictionary that aligns with best practices and supports FAIR principles

Presenter(s): Eugene Barsky, Vanessa Choy

Makerspace Orientations: Stamps and Print press
2026-04-02 00:00 - 23:59 | York University, 4700 Keele Street, Toronto, Ontario, M3J 1P3, Canada
Date: April 2 2026

Presenter: Jacob Turola

This session demonstrates the creation of custom stamps using various methods. Attendees will explore techniques such as CNC machining rubber, 3D printing with TPU, and laser cutting. Each method will be demonstrated, highlighting the materials and processes involved, allowing participants to choose the best approach for their stamp-making projects.

Makerspace Orientations: Spin & Motion – Build a Kinetic Toy
2026-04-08 00:00 - 23:59 | York University, 4700 Keele Street, Toronto, Ontario, M3J 1P3, Canada
Date: April 8 2026

Presenter: Jiaqi Yuan

Create your own moving toy using 3D printing, Arduino, and servo motors! Explore simple kinetic mechanisms to make objects spin or move back and forth. Learn how to design, print, and control motion with code. No prior experience needed—just bring your curiosity and imagination!

Data Bites - Licensing Your Research Data
2026-04-13 00:00 - 23:59
This practical workshop, delivered by the UBC Library Research Data Management team, explores how licensing supports responsible sharing, reuse, and attribution of research data. Aimed at graduate students, researchers, and staff, the session highlights best practices for applying data licenses that align with FAIR and open science principles within the Canadian data landscape.

Participants will learn how to:

Distinguish between copyright and data ownership

Select appropriate licenses for research data reuse and sharing

Apply Creative Commons licenses effectively

Presenter(s): Eugene Barsky, Vanessa Choy, Stephanie Savage

La transcription automatique de manuscrits à l'aide de l'IA: Introduction à Transkribus.
2026-04-16 00:00 - 23:59 | UQAM | Université du Québec à Montréal, 400 rue Sainte-Catherine, Montreal, Québec, H2L 2C5
16 April 2026

Cet atelier propose une plongée captivante dans le monde de la reconnaissance automatique de l’écriture manuscrite grâce à l’intelligence artificielle. Nous découvrirons les principales fonctionnalités de Transkribus, un outil gratuit qui facilite la transcription d’archives historiques et de manuscrits. Rejoignez-nous pour une expérience stimulante où le passé rencontre l’avenir grâce à la convergence de la technologie et de l’histoire.

La première partie de l’atelier propose un tour d’horizon du fonctionnement de Transkribus. La deuxième partie de l’atelier vise à initier les participants à l’outil.

[Cette formation aura lieu au Laboratoire de données et humanités numériques de la bibliothèque centrale, local A-M203]

Animation de l’atelier : Simon Côté-Lapointe

Simon Côté-Lapointe est bibliothécaire en histoire, philosophie, sciences des religions et linguistique et responsable des humanités numériques à l’UQAM. Il est détenteur d’un doctorat en sciences de l’information portant sur les archives audiovisuelles. Les méthodes et outils numériques pour la recherche ainsi que la gestion, l’organisation, la préservation et la diffusion des données et documents sont parmi ses champs d’intérêt.

Guides liés: Humanités numériques by Simon Côté-Lapointe

Data Bites - Introduction to Data Management Plans (DMPs)
2026-04-20 08:00 - 17:00
Learn how to create effective and funder-compliant Data Management Plans (DMPs) in this hands-on workshop led by UBC’s Research Data Management team, designed for graduate students and researchers across disciplines. Participants will explore best practices in research data planning and gain experience using the DMP Assistant tool, a free, bilingual platform maintained by the Digital Research Alliance of Canada.

This session uses UBC’s Simplified DMP Template to make data management planning accessible and practical.

By the end, participants will have:

Insight into applying data management principles to their research projects

A clear understanding of the components of a good Data Management Plan

Confidence navigating the DMP Assistant tool

Presenter(s): Eugene Barsky, Vanessa Choy

Students deserve Research Data Management! Teaching with the RDM Educators Kit
2026-05-05 00:00 - 23:59 | 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).
