Citation Management & RefWorks for Engineers (and everyone else too!)

In this workshop we talk about what citation management software does and get some tips on where to find information to select a citation manager that would works for you. We will then use RefWorks to do a brief demo on how to use citation management software. Participants can follow, create their own RefWorks account, […]

Linux Shell Scripting – day #3

Learn how to write bash scripts, use environment variables, how to control process, and much more. Requires some linux basic command line experience. Location: SciNet Online -- Powered by icalfilter.com --

Strategies for Systematic, Scoping, or Other Comprehensive Searches of Literature ONLINE – PART I

Part 1: Structured Approach to Searching the Medical Literature for Knowledge Syntheses Audience: University of Toronto graduate students and faculty engaged in health science research. UTORids will be required to participate. (if you are affiliated with UofT but do not know your UTORid, email: mikaela.grayutoronto.ca). **Please register using an UofT email address eg. @utoronto.ca or […]

EDI in Research Teams and HQP Training

This information session will communicate best practices for the composition and management of a research team or a group of trainees. A panel of U of T researchers will share strategies to meaningfully engage under-represented groups, develop equitable team management and training practices, and create an inclusive environment. The session will also highlight resources at […]

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 […]

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