2020 Distinguished Lecture Series in Statistical Sciences: Jeff Wu – Sept 28, 2020, 3:30pm

The Distinguished Lecture Series in Statistical Science features talks by some of the world's most prominent scholars in data science. The Fields Institute annually hosts the prestigious Distinguished Lecture Series in Statistical Science (DLSS). The DLSS has been held annually since 2000, and consists of one general lecture and one more specialized lecture by an […]

Introduction to Computational BioStatistics with R (Fall 2020) — lecture #7

In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into […]

DHN-CDRS Lightning Lunch: Disasters, Communities, and Preparedness – Sept. 29, 2020

Name: Online via zoom Address:

Join us for the first jointly hosted Lightning Lunch between the DHN (https://dhn.utoronto.ca/)and UTM's Collaborative Digital Research Space (CDRS). Jennifer Ross (JHI-DHN postdoctoral fellow), Steve Hoffman (Sociology), and Tong Lam (Historical Studies) will speak on various aspects of disaster, community, and preparedness.

Company and Competitor Research

For U of T students, faculty, and staff of all disciplines interested in learning more about researching companies and finding competitor information. Includes an overview of subscription databases and publicly available resources for company research. You’ll learn how to: Evaluate different types of company information and understand the differences between public and private companies Find […]

Scrape Instagram Data with Instagram-Scraper

Does your research require you to build an archive of Instagram data? In this workshop attendees will learn how to scrape Instagram posts with the Instagram-Scraper program in your command line interface without going through the tedious process of manually downloading posts. Attendees will also be guided through the process of cleaning up Instagram data […]

Working with Web Archive Data – Sep. 29, 2020

Web archives, like the Internet Archive's Wayback Machine, have existed for almost as long as the World Wide Web. This presentation will introduce tapping into this rich but complex data source. Participants will get an overview of major web archive sources, the WARC file format, methods of accessing web archived data, as well as a […]

Connect + Learn (EASI): SharePoint Office Hours Sep 30, 2020, 12pm

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This open drop-in session is intended for SharePoint site owners and administrators who have questions, want to learn about a particular feature or need some assistance with content in the Virtual Bootcamp. We recommend that all new site owners or administrators begin with the SharePoint Site Admin Virtual Bootcamp and then drop-in for more support […]

Library Research Skills – self-paced (UTSG & UTSC)

This series of six self-paced modules created by librarians at the St. George and Scarborough campuses will introduce students to foundational library skills that will help in many university research assignments. They can be completed in any order. Topics include: Module 1: Introduction to U of T Libraries - Learn the basics about the libraries […]

Starting a Literature Synthesis: Systematic & Scoping Review Basics

Should you do a systematic or a scoping review? What is the difference? How do you start? After attending this session, you will be able to answer these questions – and more – making it easier to plan your knowledge synthesis project. Learning outcomes: distinguish between the features of, and workflows in, different types of […]

Introduction to Computational BioStatistics with R (Fall 2020) — lecture #8

In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into […]

Connect + Learn (EASI): Introduction to Microsoft FindTime – Oct. 1, 2020, 12pm

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Join us for this introduction to Microsoft FindTime, a tool that can help you and your colleagues find the best time to meet. FindTime shows what days and times work the best for you and the attendees using free/busy data. You can propose your selected times to all attendees and allow everyone to vote and […]

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