Designed for those who are curious about making maps but haven’t yet had the opportunity to learn. This workshop will provide a friendly introduction to geographic data and the mapping of this data using the geographic information system (GIS) software, QGIS. Absolutely no geography or quantitative background is necessary for an engaging experience.
This workshop will build on the Fall 2023 workshop “Gephi Part 1: Introduction to Network Visualizations” to look at how one can conduct network analysis for research. We will go through a case example together and discuss more features that researchers can use to design their own network visualizations.
Two parts: January 19 (10 am – Noon) and February 2 (10 am – Noon) This two-part workshop will bring together people working in the postsecondary sector (faculty, librarians, students, administrators) to discuss and reflect on knowledge making in the humanities (and in academia more broadly) within a society enmeshed with networked digital technology. Workshop […]
In this introductory workshop, learn about research data management best practices and how investing a small amount of time in organizing your data now can save you a lot of time and prevent future headaches. We will go over best practices for data planning, storage, organization, preservation, and sharing.
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 […]
Two parts: January 19 (10 am – Noon) and February 2 (10 am – Noon) This two-part workshop will bring together people working in the postsecondary sector (faculty, librarians, students, administrators) to discuss and reflect on knowledge making in the humanities (and in academia more broadly) within a society enmeshed with networked digital technology. Workshop […]
Two parts: February 2 (10 am – 3 pm) and February 9 (10 am – 3 pm) This workshop, which takes place across two sessions on February 2nd and February 9th, is an introduction to programming in Python for people with little or no previous programming experience. Using some supplied data, you will learn the […]
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.
