IP Matters: The Chemical AI Revolution – Jan. 30, 2024

Uncovering Trends and Strategies for IP Protection Join a panel of IP lawyers, entrepreneurs, and representatives from the U of T Innovations & Partnerships Office (IPO) for a wide-ranging discussion about AI’s transformative impact in revolutionizing the landscape of chemical research and development. We will discuss the pivotal role tech transfer offices play in commercializing […]

In Conversation With David Dyzenhaus: The Politics of the Rule of Law – Jan. 30, 2024

The Politics of the Rule of Law SSHRC, in partnership with The Conversation Canada, is pleased to present In Conversation With, a series of public talks featuring the most recent winners of SSHRC’s Impact Awards. The series brings engaging and enlightening dialogue with SSHRC-funded researchers to Canadians from coast to coast to coast, highlighting the […]

NSERC Alliance Updates & Changes (French) – Jan. 31, 2024

NSERC is pleased to announce the launch of several improvements to its Alliance grants program. This update is in response to feedback received and builds on our experience with the program over the last four years. Alliance grants were launched in 2019 to encourage university researchers to collaborate with partner organizations from the private, public […]

Create Your Academic Website: The WordPress Edition – Jan. 31, 2024

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 […]

PHY1610 Scientific Computing Lecture

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 […]

EES1137: Lecture 8

REDCap Resources

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 […]

CRIS Connects: Intellectual Property Protection (Patents) – Feb. 5, 2024

The CRIS Connects (https://cris.utoronto.ca/rdfcohorts/crisconnects/) series provides targeted, real-time help from guest experts. These drop-in sessions are designed for you to come and ask our guest experts anything on their topic of expertise. Join other UofT community members and learn together as you get your questions answered. Join us for the next session CRIS Connects: Intellectual […]

Praxis Workshop: Understanding and Applying Generative A.I. – Feb. 5, 2024

Are you ready to learn more about how artificial neural networks and machine learning techniques work? Join the Critical Digital Humanities Initiative (CDHI) 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 […]

Research Days at UTSC – Day 1

Members of the U of T community, including graduate students, early career researchers (post docs, new faculty), established researchers, staff, librarians, who want to explore the research and publication process and tools that fit into their workflows are invited to attend Research Days at UTSC presented by Marisa Ruccolo (Clarivate Director, Customer Success) in partnership […]

EES1137: Lecture 9

REDCap Resources

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 […]

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