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How to edit Wikipedia

York University 4700 Keele Street, Toronto, Ontario, Canada

Date: 12 March 2024 Editing Wikipedia is easier than you might think. Wikipedia is now the largest global open education resource but it continues to have many gaps in its knowledge. Anyone can learn to edit Wikipedia to close those gaps and improve coverage of under-represented topics and groups.   Everyone is welcome to drop into […]

Intro to Document Typesetting and Scientific Publishing with LaTeX

McMaster University 1280 Main Street West, Hamilton, Ontario, Canada

LaTeX is a typesetting programming language used to produce beautiful documents. It especially excels at scientific, mathematic, and engineering specific layouts, but can be used to produce nearly any sort of document. This workshop will teach you the basics of LaTeX, including how to render things like chemical formulas with ease.

Humanités numériques : analyse de texte

Université de Montréal 3150 Rue Jean-Brillant, Montréal, Québec, Canada

13 mars et 27 mars Atelier sur les principales techniques d’analyse de texte à travers la présentation de méthodes computationnelles. Les ateliers sont admissibles au certificat si aucun crédit curriculaire n’a été obtenu.

Publishing Your Research Data in a Data Repository

York University 4700 Keele Street, Toronto, Ontario, Canada

18 March 2024 Data is deposited into a repository towards the end of its lifecycle when it is ready for sharing and publication. Publishing your data in a trusted data repository can provide the necessary curation and storage conditions to key your data secure and ensure your data is discoverable to a wide audience. Increasingly, […]

Introduction to Machine Learning: Regression Models

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 […]

How to Implement Encryption to Protect your Research Data

McMaster University 1280 Main Street West, Hamilton, Ontario, Canada

The modern online environment is dangerous – data breaches and cyber attacks are increasingly prevalent, making safeguarding sensitive research data more important than ever. Join Isaac Pratt (Research Data Management Specialist) for this workshop diving into the world of encryption. No technical expertise required – we’ll demystify encryption and show you how it can be used to secure your data against unauthorized access, ensuring its confidentiality, integrity, and authenticity. During this interactive session, you will: gain a clear understanding of the language of encryption: Learn what encryption is, how it works, and why it’s crucial for protecting your research data — Empower yourself with practical knowledge: Explore a range of digital tools and discover how to easily encrypt files, drives, and folders — Unlock the power of Veracrypt: watch a demo of Veracrypt, a free open-source encryption tool that you can start using right away.

Introduction to Voyant Tools

We will introduce Voyant, a free suite of visual tools for text analysis. Participants will get hands on experience applying common tools within Voyant to a corpus. No prior experience with text analysis is required.  This workshop is part of the Digital Toolkit workshop series presented by the UBC Library Research Commons. Date: Wednesday, March 20, 2024, 1-2pm Pacific Presenters: […]

Introduction to Git and GitHub

Learn the basics of using Git and GitHub for version control and collaboration.  Git is widely used version control software that tracks changes to a group of files, referred to as a repository.  GitHub is a popular website for hosting and sharing Git repositories, making it easier to collaborate and share your work.  Together, Git and GitHub provide a […]

Introduction to Machine Learning: Classification and Clustering

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 […]

Cultural Heritage Informatics Tools and Approaches

Carleton University 1125 Colonel By Drive, Ottawa, Ontario, Canada

This day of workshops, led by Dr. Ethan Watrall (Michigan State University) and members of the Carleton X-Lab will explore various cultural heritage informatics tools and approaches, with a focus towards small/medium heritage/collections holding institutions and projects.

Introduction to Machine Learning: Neural Networks

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 […]

Introduction to Natural Language Processing

How do computers understand language? It seems impossible that zeroes and ones could ever add up to words that humans can understand, but machine language has come a long way in the past few years. Let us take you behind the code to explain how machines simulate language comprehension, and why it’s a far more […]