Community of practice meetings actively bring together CBRCanada members from across Canada and beyond to engage in meaningful discussions. All involved in community-based research are welcome, whether you are a researcher, peer-researcher, student, project coordinator, administrator, director, or community leader. The purpose of the community of practice is to network with others, learn from each […]
In this workshop participants will participate in discussions and activities in order to more effectively prompt generative AI tools, such as Chat-GPT, to acquire results that more accurately represent their desired outcomes. This workshop is focused on the use of generative AI in a flipped classroom approach. Participants will gain understanding of their research topics […]
Join us for the next Get it Started, Get it Finished, Keep it Going (https://cris.utoronto.ca/rdfcohorts/get-it-started/). These monthly sessions are geared to addressing the competing priorities faculty face during the semester from research, teaching, to service commitments. In these semi-structured (Two 45-minute timed work sessions), researchers will set goals that are specific, measurable, achievable, realistic, time-bound (SMART) […]
In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course is to prepare graduate students for performing scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large […]
This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in […]
Academic publishing disproportionately privileges English-language and Western journals and presses, leaving little place to contextualize and value scholarly material published outside academia (particularly in terms of publication material of benefit to community collaborators), outside the Western context, or in languages other than English. Please join the Jackman Humanities Institute and guest speakers Shawna-KayeTucker (Assistant Professor, Applied […]
In about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up some valuable pointers.Format: Virtual
Are you curious about finding teaching materials to support student learning? Or perhaps you are interested in developing teaching materials that all students can access? Celebrate Open Education Week and learn how Open Educational Resources (OER) can be optimized for instructional use in this interactive workshop. OER reduces the financial barrier to access materials for […]
This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in […]
In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course is to prepare graduate students for performing scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large […]
