Researchers and faculty doing DH work will inevitably need to display their research findings or create a portfolio of work. Our goal is to equip researchers with the knowledge and digital tools to set up these sites. We will do this through an introductory workshop to teach attendees fundamentals of website creation, including choosing a […]
Are you ready to learn more about how artificial neural networks and machine learning techniques work? Join us to discover how these technologies can transform your teaching and research, opening new dimensions in higher education. In this introductory-level workshop, participants will learn the basics of how text-based and image-based Generative AI, such as ChatGPT and […]
Citation analysis is a way of measuring the relative importance or impact of author, article, or publication, and explore links between them. Citation analysis can support the early stages of research by summarizing and mapping existing knowledge and research on a particular subject, and identifying gaps in the literature. It can also be used to […]
Preservation of software with your research data is an important part of open research and will be a future requirement by the Tri-agencies for Data Deposit. In this introductory session, learn how you can apply research data management practices and FAIR data principles to software, and some best practices that will help you prepare for depositing the custom code and analysis scripts you use to generate and process your research data, and how these practices can help you now in developing and maintaining this work.
This practical workshop will introduce trends in scholarly publishing of particular relevance to graduate students and junior scholars in social science, arts and humanities. Techniques to increase the discoverability of scholarship on the web via researcher identifiers, self-archiving, and open access publishing will also be covered during the session. Instructor: John Dupuis
The sounds of data are all around us: from phone notifications to car horns to the whistle at a sports game. In this two-part workshop, participants will be introduced to the theory and practice of data sonification. We will briefly delve into the history of sonification and think through the unique ways that humans process and communicate sonic information. In the first session, through interactive exercises, like virtual sound walks, participants will be introduced to approaches and theories of listening to sound critically and reflectively.
Date: 12 February 2024 Are you interested in sharing your work and connecting with other academic or non-academic researchers using a free, open platform that combines features of social networking sites and institutional repositories? Join us for this live introduction and demo, where participants will learn how to establish a professional profile, build community, and […]
Date: 12 February Need to create a map, but don’t know how? Have you been asked to analyze geospatial data and you are wondering where to start? This introduction is for you. We will use QGIS to explore the world of Geographic Information Systems (GIS) and familiarize ourselves with the different steps of creating a […]
Date: 13 February 2024 This session will provide an overview of three nationally-supported Research Data Management (RDM) Platforms and Services, the Federated Research Data Repository (FRDR); Borealis, the Canadian Dataverse Repository; and Lunaris, Canada’s national data discovery service. FRDR is a bilingual publishing platform for sharing and preserving Canadian research data in any discipline. The […]
Date: 13 February 2024 This session will serve as a walk-through demonstration of how to use the Data Management Plan (DMP) Assistant tool. A high-level overview of research data management and the role of DMPs will be provided, as well as concrete examples, resources, and best practices in the creation of a data management plan […]
Date: 13 February 2024 This presentation will aim to provide a high-level overview of Canada’s research data management landscape, focusing on sensitive data involving human participants in the context of the Tri-Agency RDM Policy (2021) and Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans (TCPS 2022). Various resources and tools at the institutional and […]
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. Python IDE Anaconda will be briefly discussed. No prior knowledge of Python is required.
Date: 14 February 2024 This workshop will introduce the Text Encoding Initiative (TEI): the de facto standard in the humanities for creating digital texts. In this workshop, we will discuss the scholarly and technical affordances are of using the TEI, answering why it is that so many digital humanities resources—including Early English Books Online (EEBO), […]
Date: 14 February 2024 We’ll be presenting the main features of Stylo, a web-accessible semantic text editor for writing in the humanities and social sciences. Since the project’s launch in 2017, one of its objectives has been to provide a tool capable of changing and improving the academic publishing chain, particularly the workflow of journals […]
From very small tabular datasets to mid-size mixed methods records to the titan data for Advanced Research Computing, researchers at McMaster have a wide range of needs for storing research data. But what options are available? What are some workflows when you’re working alone vs with a research team? What’s available if you need a bit more? Join us for a session on research data storage and backup. In this workshop, we’ll start with an overview of different storage platforms available to you as a researcher, their features and drawbacks, and outline data backup and security principles. Then, we’ll share information about the Digital Research Alliance of Canada’s annual Resource Allocation Competition and how researchers can start working with large-scale computational resources. Note: This webinar will be for researchers who are curious about the Resource Allocation Competition but have not accessed it yet. For those who are already accessing it and would like more information, please see the Intermediate High-Performance Computing session with Sergey Mashchenko.
Date: 15 February 2024 Using a single environment for all stages of your research project can help you organize your work. To this end, our team recommends JupyterLab, a software that logs code, text, equations, graphs and visualizations in a single document. This tool can also execute the lines of a program one at a […]
Date: 15 February 2024 R is a free and open-source programming language for statistical computing, modelling, and graphics, with an unbeatable collection of statistical packages. It is extremely popular in some academic fields such as statistics, biology, bioinformatics, data mining, data analysis, and linguistics. This introductory course does not assume any prior knowledge: it will […]
Date: 15 February 2024 In this short session, we will demo some of Python’s capabilities to researchers new to the language, starting with multiple ways to run Python, high-level data collections such as lists and dictionaries, using Python for data processing and manipulation, and data visualization. This short lecture-style course will be followed by a […]
This workshop will introduce attendees to techniques for scraping information from the web using Python’s Beautiful Soup (bs4) toolkit. We will begin with a basic overview of the “anatomy” or structure of a webpage. Students will then learn how to write a script for extracting textual data from websites like Reddit and organizing it into spreadsheets. The second half of the workshop will explore how to use Python’s Pandas library to clean and analyze your data. In addition to technical skills, students are encouraged to engage with critical questions like: What is web scraping for and what can we, as researchers, learn from publicly available data? What are the potential ethical and legal challenges of data harvesting, and how do we do it responsibly?
Date: 16 February 2024 3D visualization has been used in traditional scientific computing for several decades to visualize the results of multidimensional numerical simulations. In humanities, 3D visualizations have been mostly restricted to specialized areas such as game engines, architectural renderings, virtual environments, photogrammetric processing, and visualization of point cloud data. In this short course, […]
How does deep learning really work? What exactly are those large language models everybody talks about? How can I build a neural network? What is NLP? This presentation will answer these questions in a non-technical manner to give you a high-level understanding of a discipline that has become crucial in all fields of research. The […]
Have you ever wished you could stand in and study an imaginary or long-vanished space–from a work of literature or from a distant period in history, or perhaps a virtual creation of a famous thought experiment or a speculative model of something that doesn’t exist in the real world? 3D visualization can grant that wish. […]
Are you ever frustrated by what is missing from Wikipedia? Are you interested in women’s history and queer history in Canada? Join us for a 3-part Wikipedia Editathon in celebration of International Women’s Day. This event is the English-language follow up to our French 2SLGBTQ+ editathon last October. The event will be in English, but […]
Grant applications and ethics protocols suggest you need to ensure research data is kept secure, but the “how” of managing this task is rarely addressed. We’ll guide you through common research issues connected with privacy and security: using online or “cloud” services for file storage, ensuring a lost laptop doesn’t mean compromised data, taking control of […]
This is a day-long workshop that will explore 3d modelling and printing. We’ll take a physical object from the real world, use a series of sophisticated software to render it into a 3d model, and then learn how to print that model on a 3d printer.