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 […]

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.

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: […]

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 […]

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 […]

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.

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 […]

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 […]

Don’t lose all that hard work you’ve put into creating a digital scholarship project! With all the moving parts involved, digital scholarship projects can “break” two or three years after completion when preservation concerns aren’t considered. Websites require maintenance, platforms like Omeka and StoryMaps need version updates, file formats become obsolete – making projects interactive and accessible over the long-term can be complex. In this roundtable discussion, we’ll explore challenges in preserving digital scholarship projects, as well as tools & approaches to supporting their long-term access and use. We’ll conclude with a sandbox session where we share case studies and respond to participant questions.

This workshop aims to equip participants with a basic understanding of Generative AI (GenAI) and the ethical implications of its use in student research. Participants will explore its use for idea generation, and literature reviews, and consider ethical considerations such as plagiarism, privacy, and research integrity. In the hands-on portion of the workshop, participants will […]

Aimed at grad students and faculty researchers, this lecture-style workshop reviews the key components of a data management plan (DMP) and offers guidance on using the DMP Assistant, a bilingual tool for preparing data management plans. A DMP is a formal and evolving document that outlines the practices, processes, and strategies of the data you expect to acquire or generate […]