CCDHHN

Introduction to Machine Learning: Regression Models
2025-01-20 00:00 - 23:59 (America/Halifax) | Québec
This workshop focuses on regression models to provide participants with a foundational understanding of machine learning concepts, techniques, and tools used for linear and nonlinear regression. Through a combination of lectures and hands-on exercises, participants will gain practical experience with regression algorithms, one of the most popular machine-learning techniques. The workshop begins with an overview of regression, exploring its various types and applications and continues with training regression models, interpreting the results, and making predictions using real-world datasets. Additionally, participants will gain insights into advanced topics such as regularization and feature selection. By the end of this workshop, you will have a solid understanding of regression models and be familiar with popular Python libraries and tools to implement them.

In this workshop, we will use cloud-based platforms, so you don’t need to have Python installed. Please make sure that you have a Google Colaboratory (https://colab.research.google.com/) account. This workshop will involve hands-on exercises that require the use of programming tools and libraries commonly used in machine learning, such as Python and Scikit-learn. As such, prior familiarity with Python programming is recommended for participants to fully benefit from the practical component of the workshop.

Sign up for other Machine Learning workshops in this series.

Or view other upcoming Digital Scholarship workshops.

Introduction to making minimal websites and digital ephemera
2025-01-21 00:00 - 23:59 | Québec
Date: January 21 2025

Reg Beatty

The “small web” is equal parts political and aesthetic. It engages with questions, posed by the early web, about what it means to have a personal presence online but in the light of today’s ubiquitous social media and commercialization.

This Intro will touch on these aspects of the small web but will focus on one of its hallmarks—the handmade web page. Using a minimal palette of HTML and CSS we will see how quickly a page can be created and published. This can be anything from a professional portal linking dispersed materials, to a zine, a poem, or ephemera like a bulletin, a postcard.

For those of you that want to explore this further (or are unable to attend on Jan 21) we will be offering two hands-on workshops in February. These will be hybrid events held on Zoom and at the Library’s Collaboratory. The tentative dates are Feb 7 and 14 (both Fridays) from 10am until noon EST. If you are interested please use the registration button on our website and we will stay in touch.

Instructor: Reg Beatty

Data Bites - Best Practices for Creating a README file
2025-01-21 00:00 - 23:59 | Québec
Do you struggle with organizing your research materials? This 30-minute workshop highlights practical techniques for creating a README file. A README is a guide to your data and assists other researchers to understand your dataset, its contents, provenance, licensing and how to interact with it.

Creating Exhibitions with Omeka S
2025-01-22 00:00 - 23:59 | McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada
Date: 22 January 2025

Learn how to use Omeka S to manage digital collections and create scholarly exhibits. This tutorial will introduce participants to the basic functions of Omeka S, including how to create an archival item collection, add metadata, and build a digital exhibit.

Learning Outcomes: Learn how to add items to Omeka S. Understand different features that contribute to an engaging digital exhibition.

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: Subhanya (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.

Telling Spatial Stories with your Data, Part 1
2025-01-22 00:00 - 23:59 | Québec
This introductory workshop is targeted toward scholars, practitioners, and researchers who are interested in finding ways to represent their data and research materials spatially. Rather than focusing on a single software or technical workflow, participants will be introduced to a variety of methods, tools, and platforms to create maps or spatial representations. Participants will also be walked through key questions to manage research projects, and learn how to evaluate tools and workflows for their applicability to their projects.

Think of this workshop as a wayfinding tutorial for navigating what questions to ask yourself at the beginning of a project comprising spatial data. By the end of this workshop series, participants will be able to:

Design a project to tell a spatial story with your data

Identify suitable methods/tools/platforms of spatial visualization to best represent research idea

Inventory and assemble the necessary resources to begin

This workshop will be facilitated across two sessions. Session 1 will take place online and is concerned with project design; Session 2 will be held in-person and will put into practice skills learned on day one. Please register for both sessions.

Though there will be an example project, participants are invited to bring their own projects/datasets to work through together on day two. Attendance to Session 1 is prerequisite for participation in Session 2.

Not sure if this workshop is for you? Non-geospatial experts are welcome, especially those interested in spatial approaches to humanities research and data.

Introduction to Python
2025-01-23 00:00 - 23:59 | McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada
Date: 23 January 2025

This beginner-level workshop will introduce you to the basic concepts of the world’s most popular Python programming language. You’ll learn to store data in Python data types and variables, as well as learn how to perform operations on numbers and strings. No prior knowledge of Python is required. This session will be recorded and made available openly.

Learning Outcome: Get started with Python Programming after learning the basic concepts.

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:

Vivek Jadon (he/him) provides research support in the use of numeric research data. As part of his role, Vivek is McMaster University’s official representative for Statistics Canada’s Data Liberation Initiative (DLI) program and Inter-university Consortium for Political and Social Research (ICPSR). Both of these programs provide researchers with vast archive of research data from various disciplines for high quality research and instruction. Vivek is also involved in building awareness and promoting RDM activities/services at McMaster.

Telling Spatial Stories with your Data, Part 2
2025-01-23 00:00 - 23:59 | Québec
This is the second session of a two-part series. Please only register if you have taken “Telling Spatial Stories with your Data, Part 1”.

This introductory workshop is targeted toward scholars, practitioners, and researchers who are interested in finding ways to represent their data and research materials spatially. Rather than focusing on a single software or technical workflow, participants will be introduced to a variety of methods, tools, and platforms to create maps or spatial representations. Participants will also be walked through key questions to manage research projects, and learn how to evaluate tools and workflows for their applicability to their projects.

Think of this workshop as a wayfinding tutorial for navigating what questions to ask yourself at the beginning of a project comprising spatial data. By the end of this workshop series, participants will be able to:

Design a project to tell a spatial story with your data

Identify suitable methods/tools/platforms of spatial visualization to best represent research idea

Inventory and assemble the necessary resources to begin

This workshop will be facilitated across two sessions. Session 1 is concerned with project design and will be held online; Session 2 will put into practice skills learned on day one and we will meet in person in Koerner Library to work together. Please register for both sessions.

Though there will be an example project, participants are invited to bring their own projects/datasets to work through together on day two. Attendance to Session 1 is prerequisite for participation in Session 2.

Not sure if this workshop is for you? Non-geospatial experts are welcome, especially those interested in spatial approaches to humanities research and data.

Things to do before arriving:

Please bring a laptop or other device.

Location:

Koerner Library, Presentation Room 548/552

If you have questions, concerns, or accessibility needs, please email alexandra.alisauskas@ubc.ca

Créer des cartes géographiques interactives avec uMap et ArcGIS Storymaps
2025-01-27 00:00 - 23:59 | Québec
Cette présentation vise à faire un tour d’horizon de uMap et Storymaps, deux logiciels qui permettent de créer des cartes interactives.

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.

ArcGIS StoryMaps est une plateforme de création de récits cartographiques immersive qui permet aux utilisateurs de combiner des cartes interactives, des médias audiovisuels et du texte pour raconter des histoires de manière captivante. En intégrant la cartographie dynamique avec des éléments narratifs, ARCGIS StoryMaps permet de partager des contenus de manière engageante et accessible, facilitant ainsi la communication visuelle de données et d’analyses.

Présenté par Katerine Grandmont et Simon Côté-Lapointe

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.

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

Introduction to Machine Learning: Classification and Clustering
2025-01-27 00:00 - 23:59 | Québec
This workshop offers an exploration of machine learning models for clustering and classification. With the increasing availability of large datasets, these models play a crucial role in extracting valuable insights and making informed decisions. In this workshop, participants will gain insight into clustering algorithms such as K-means, explore popular classification algorithms like decision trees, and learn about anomaly detection. Through a combination of lectures and hands-on exercises, participants will learn how to preprocess data, select relevant features, and evaluate model performance. By the conclusion of the workshop, participants will have a solid foundation in building and deploying machine learning models for clustering and classification tasks.

In this workshop, we will use cloud-based platforms, so you don’t need to have Python installed. Please make sure that you have a Google Colaboratory (https://colab.research.google.com/) account. This workshop will involve hands-on exercises that require the use of programming tools and libraries commonly used in machine learning, such as Python and Scikit-learn. As such, prior familiarity with Python programming is recommended for participants to fully benefit from the practical component of the workshop.

Sign up for other Machine Learning workshops in this series:

Upcoming Digital Scholarship workshops.

Data Bites - Best Practices for Organizing File Directories
2025-01-28 00:00 - 23:59 | Québec
Do you struggle with organizing your research materials? This 30-minute workshop highlights practical techniques for directory structure conventions and directory names that will help organize your files in a way that is meaningful to both you and others.

Instructors: Eugene Barsky, Andrew Li

Streamline Your Research Materials Photos
2025-01-29 00:00 - 23:59 | McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada
Date: 29 January 2025

You’ve been there–getting home from an incredible research trip to an archive, maps collection, or gallery only to face a folder with thousands of photos all labelled “IMG50293.png.” Join Research Data Management Specialist Danica Evering and Data Analysis and Visualization Librarian Subhanya Sivajothy for an overview of Tropy: an open-source solution to explore and manage research photos. Instead of a folder crammed full of a jumble of nameless files, Tropy lets you work closely with your research materials. Starting with an overview of all your images, you can zoom into details and annotate points of interest as you start to uncover your research. It also lets you find patterns and contexts through systematized tagging and metadata. Developed alongside sister softwares Zotero, a reference manager, and Omeka, a digital exhibits system, at George Mason University, it integrates smoothly with its siblings. After introducing Tropy as a tool, this webinar will discuss how to create item records in Zotero, and then how to transform your research into a digital exhibition using the Tropy-Omeka integration.

No prior knowledge of Tropy will be required but please come with a version of the software downloaded for the demo!

Learning Outcomes: Use Tropy to organize, annotate, analyze and manage large research image collections. Select appropriate metadata and implement documentation and tagging systems. Integrate Tropy with Zotero and Omeka to cite archival sources and enhance the impact of your research and digital exhibitions.

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:

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.

Subhanya (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.

Comment contribuer à Wikipédia? Introduction au fonctionnement de l'encyclopédie libre
2025-01-30 00:00 - 23:59 | Québec
Wikipédia est un projet d’encyclopédie collective en ligne et multilingue qui vise à offrir un contenu librement réutilisable, objectif et vérifiable, que chacun peut modifier et améliorer.

Vous désirez contribuer à Wikipédia? Cette présentation propose un tour d’horizon des éléments essentiels pour vous lancer dans l’aventure wikipédienne. La philosophie de Wikipédia, ses règles de fonctionnement éditorial, la structure d’un article ainsi que les principales fonctionnalités de l’interface utilisateur pour la rédaction seront couverts.

Présenté par Jean-Michel Lapointe et Simon Côté-Lapointe

Jean-Michel Lapointe est chargé de projets technopédagogiques au Carrefour d’innovation et de pédagogie universitaire depuis 2023. Il évolue au sein de l’UQAM depuis 2015, où il a d’abord été bibliothécaire. Spécialiste de l’écosystème Wikimédia, de la technologie wiki et de la culture numérique libre, il promeut depuis plusieurs années l’écriture encyclopédique dans Wikipédia en contexte universitaire.

Simon Côté-Lapointe est bibliothécaire en histoire, philosophie 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.

Image : Aperçu de l’interface de rédaction dans WikipédiaAnimation :

La transcription automatique de manuscrits à l’aide de l’IA: Introduction à Transkribus
2025-02-03 00:00 - 23:59 | UQAM | Université du Québec à Montréal, 400 rue Sainte-Catherine, Montreal, Québec, H2L 2C5
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]

(capture d’écran de l’application Transkribus)

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

Introduction to Machine Learning: Neural Networks
2025-02-03 00:00 - 23:59 | Québec
In this workshop, participants will dive into the fascinating world of neural networks. Neural networks have emerged as powerful models for solving complex and nonlinear problems. This workshop begins with an introduction to neural networks, covering their architecture, activation functions, and training algorithms. Participants will gain insights into how neural networks can effectively capture and learn complex patterns in images, making them ideal for tasks like recognizing digits. They will also learn about the importance of preprocessing techniques and streamlining the preprocessing, training, and evaluation steps through pipelines. By the end of this workshop, participants will have a solid foundation in neural networks and the ability to build robust pipelines using Scikit-learn. In this workshop, we will use cloud-based platforms, so you don’t need to have Python installed. Please make sure that you have a Google Colaboratory (https://colab.research.google.com/) account. This workshop will involve hands-on exercises that require the use of programming tools and libraries commonly used in machine learning, such as Python and Scikit-learn. As such, prior familiarity with Python programming is recommended for participants to fully benefit from the practical component of the workshop.

Sign up for other Machine Learning workshops in this series.

View other upcoming Digital Scholarship workshops.

Microdata Analysis with Python
2025-02-06 00:00 - 23:59 | McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada
Date: 6 February 2025

This hands-on workshop will guide participants through the process of data analysis using the Public Use Microdata File (PUMF) from Statistics Canada’s sample surveys. You will learn how to access, manage, and analyze microdata to extract meaningful insights. Participants will engage with sample datasets, explore various statistical techniques, and gain practical experience in interpreting and presenting their findings. Whether you’re a student, researcher, or professional, this workshop will equip you with the tools to effectively analyze and utilize Canadian survey data.

Learning Outcomes: The participants will gain practical experience in interpreting and presenting their findings using Python.

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:

Vivek Jadon (he/him) provides research support in the use of numeric research data. As part of his role, Vivek is McMaster University’s official representative for Statistics Canada’s Data Liberation Initiative (DLI) program and Inter-university Consortium for Political and Social Research (ICPSR). Both of these programs provide researchers with vast archive of research data from various disciplines for high quality research and instruction. Vivek is also involved in building awareness and promoting RDM activities/services at McMaster.

Workshop: Introduction to making minimal websites and digital ephemera
2025-02-07 00:00 - 23:59 | Toronto Metropolitan University, 350 Victoria Street, Toronto, Ontario, M5B 2K3, Canada
Date: February 7 2025

Instructor: Reg Beatty

The “small web” is equal parts political and aesthetic. It engages with questions, posed by the early web, about what it means to have a personal presence online but in the light of today’s ubiquitous social media and commercialization.

This Intro will touch on these aspects of the small web but will focus on one of its hallmarks—the handmade web page. Using a minimal palette of HTML and CSS we will see how quickly a page can be created and published. This can be anything from a professional portal linking dispersed materials, to a zine, a poem, or ephemera like a bulletin, a postcard.

Introduction to Large Language Models (LLMs)
2025-02-10 00:00 - 23:59 | Québec
This workshop focuses on Large Language Models (LLM) to provide participants with a foundational understanding of LLM, their working, and how to fine-tune a pre-trained LLM for your own data.

In this workshop, we will use cloud-based platforms, so you don’t need to have Python installed. Please make sure that you have a Google Colaboratory (https://colab.research.google.com/) account. This workshop will involve hands-on exercises that require the use of programming tools and libraries commonly used in machine learning, such as Python and Scikit-learn. As such, prior familiarity with Python programming is recommended for participants to fully benefit from the practical component of the workshop.

The first hour of the workshop will be core content and the last 30 minutes will be reserved for questions and hands on experimentation.

Learning objectives

At the end of this workshop, you will be able to:

Fine tune pre-trained LLM model to customize for a sample dataset.

Understand architecture and working of LLM

Gain knowledge of some popular pre-trained LLM models

Instructor: Aisha Eldeeb

Finding, Accessing, and Adding GIS Data to Your Project
2025-02-11 00:00 - 23:59 | McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada
Date: 11 Februrary 2025

Geospatial data is data about objects or features on or near the surface of the Earth and can be mapped using Geographic Information Systems (GIS) software. This workshop introduces participants to geospatial data formats as well as sources for this data.

This workshop will teach participants to: differentiate between geospatial data models; locate datasets using common sources for geospatial data; and, evaluate a dataset for use.

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

Facilitator Bio: Christine Homuth (she/her) is the Library’s GIS Specialist, providing support and resources to students, researchers, and faculty members working with Geographic Information Systems (GIS) and geospatial data.

Sensitive Data Management
2025-02-12 00:00 - 23:59 | McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada
Date: 12 February 2025

Are you working with environmental, commercial, health, personal, or other sensitive data? Are you unsure whether your data is sensitive and unclear on your responsibilities for managing it?

In this workshop, we will discuss the foundations of working with sensitive data including how to protect your data, your research participants, and yourself. We’ll take about how and when to de-identify sensitive data, and how to share sensitive data.

Presentation by Isaac Pratt, Research Data Management Specialist. Book an appointment with Isaac or another member of the Sherman Centre Team.

Details: This virtual workshop will be recorded. The recording will be posted to 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.

Comment créer des récits interactifs avec ArcGIS StoryMaps
2025-02-13 00:00 - 23:59 | UQAM | Université du Québec à Montréal, 400 rue Sainte-Catherine, Montreal, Québec, H2L 2C5
ARCGIS StoryMaps est une plateforme de création de récits cartographiques immersive qui permet aux utilisateurs de combiner des cartes interactives, des médias audiovisuels et du texte pour raconter des histoires de manière captivante. En intégrant la cartographie dynamique avec des éléments narratifs, ARCGIS StoryMaps permet de partager des contenus de manière engageante et accessible, facilitant ainsi la communication visuelle de données et d’analyses.

La première partie de l’atelier propose un tour d’horizon des principales fonctionnalités de ARCGIS StoryMaps et des étapes nécessaires pour vous lancer dans la création de votre premier récit interactif. La deuxième partie de l’atelier est consacrée à la mise en pratique et l’exploration de l’outil en créant votre premier récit en ligne.

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

Atelier présenté et animé par 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

Workshop: Introduction to making minimal websites and digital ephemera
2025-02-14 00:00 - 23:59 | Toronto Metropolitan University, 350 Victoria Street, Toronto, Ontario, M5B 2K3, Canada
Date: February 14 2025

Instructor: Reg Beatty

The “small web” is equal parts political and aesthetic. It engages with questions, posed by the early web, about what it means to have a personal presence online but in the light of today’s ubiquitous social media and commercialization.

This Intro will touch on these aspects of the small web but will focus on one of its hallmarks—the handmade web page. Using a minimal palette of HTML and CSS we will see how quickly a page can be created and published. This can be anything from a professional portal linking dispersed materials, to a zine, a poem, or ephemera like a bulletin, a postcard.

Visualizing with R gganimate
2025-02-19 00:00 - 23:59 | McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada
Date: 19 February 2025

This virtual workshop will introduce gganimate in the statistical programming language R. This workshop will go examples on how to create visualizations that change over time and how to and customize the design of those graphs. This will build on the previous workshop Data Visualization in R using ggplot2 which is recorded on the Sherman Centre website.

Learning Outcomes: Understand the basic principles and functionalities of the gganimate package in R. Design dynamic visualizations using those functionalities.

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:

Subhanya (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.

Introduction aux humanités numériques
2025-02-19 08:00 - 17:00 | Québec
Les humanités numériques réfèrent à l’utilisation d’outils et de pratiques numériques dans les sphères des sciences humaines et sociales et des arts et lettres. Le numérique peut intervenir à différents moments d’une recherche en sciences humaines et sociales et en arts et lettres, et ce, peu importe la nature et la portée du projet.

Cette présentation se veut une introduction aux méthodes et outils en humanités numériques ainsi qu’un tour d’horizon des ressources et services offerts au Service des bibliothèques de l’UQAM en lien avec les humanités numériques.

Guides liés: Humanités numériques by Simon Côté-Lapointe

Data Bites - Best Practices for File Naming
2025-02-25 00:00 - 23:59 | Québec
Do you struggle with organizing your research materials? This 30-minute workshop highlights practical techniques for file naming. Join us to develop a naming convention based on elements that are important to your work.

Instructor: Eugene Barsky, Andrew Li

Using Spreadsheets to Organize Data
2025-02-26 00:00 - 23:59 | Québec
Good data organization is the foundation of any research project. Most researchers have data in spreadsheets, so it’s the starting place for many research projects. To use tools that make computation and analysis more efficient, such as programming languages like R or Python, we need to structure our data the way that computers need the data. This workshop aims to teach researchers basic concepts, skills, and tools for working with data to get more done quickly and with less pain. In this lesson, you will learn good data entry practices, how to avoid common formatting mistakes, approaches for handling dates in spreadsheets, basic quality control and data manipulation, and exporting data from spreadsheets.

Instructor: Meghan Landry

Critical Paratexts (Technical)
2025-02-27 00:00 - 23:59 | LEMDO
In this technical webinar, LEMDO Project Manager, Navarra Houldin, will guide editors through creating structure and adding media to critical paratexts.

Data Bites - Best Practices for File Formatting
2025-03-04 00:00 - 23:59 | Québec
Do you struggle with organizing your research materials? This 30-minute workshop highlights practical techniques for file formatting. Join us to learn more about data formats, data access, and data preservation.

Instructors: Eugene Barsky, Andrew Li

Introductory Programming with Python
2025-03-04 00:00 - 23:59 | Québec
Dates: March 4th & 6th, 2025

Join us for an engaging and interactive introduction to programming with Python. Whether you are a complete beginner or looking to strengthen your foundational knowledge, this session will provide you with the essential building blocks of Python programming.

Throughout these sessions, you’ll build a strong foundation in Python by learning how to write and structure code, work with different types of data, and create dynamic programs using decision-making and loops. You’ll also explore how functions help organize your code and how libraries can expand your programming capabilities, making it easier to tackle more complex tasks. This hands-on experience will give you the confidence to start coding and problem-solving effectively.

You do not need to have any previous knowledge of the tools that will be presented or previous programming experience but intermediate level experience with a computer is highly recommended.

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

Instructors: Sarah Clarke and Tannia Chevez

Introduction to Critical Digital Humanities
2025-03-05 00:00 - 23:59 | McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada
Date: 5 March 2025

Join us for a workshop that introduces the field of Critical Digital Humanities. This interdisciplinary field emphasizes questions of power, social justice, and critical theory in the creation and analysis of digital projects. Through interactive discussions, hands-on exercises, and case studies we will explore the potential in these tools for social and political transformation. This workshop will introduce you to the knowledge and skills to utilize digital tools for research, analysis, and visualization, and ask questions from critical perspectives, and collaborate with others to advance social justice and equity.

Learning Outcomes: Analyze case studies of critical digital humanities projects to identify key methodologies, challenges, and successes.

Details: This workshop will not be recorded.

Introduction to Creating and Sharing Maps Using ArcGIS Online
2025-03-11 00:00 - 23:59 | McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada
Date: 11 March 2025

This beginner-friendly session introduces participants to the core concepts of Geographic Information Systems (GIS) and geospatial data, then shows how to apply these concepts during a hands-on exercise where you will create a web-based map in ArcGIS Online.

Learning Objectives: By the end of the workshop, participants will be able to explain Geographic Information Systems (GIS) concepts and identify potential applications for GIS; locate sources of geospatial data; apply the skills learned to author a simple map using ArcGIS Online.

Details: Any preparatory work for the session can be found on its information page.

Facilitator Bio: Christine Homuth (she/her) is the Library’s GIS Specialist, providing support and resources to students, researchers, and faculty members working with Geographic Information Systems (GIS) and geospatial data.
