[This event is not affiliated with the Department of Computer Science or the Faculty of Arts & Science. We share this event at the request of the organizers in case it is of interest to our student body. Participation is as the sole discretion of the individual.]
University of Toronto Social Science Methods Week 2019
Faculty and graduate students are cordially invited to attend the 2nd annual University of Toronto Social Science Methods Week (SSMW), held April 29-May 3, 2019.
SSMW consists of a series of workshops on methodologies with high potential to improve and advance research in the social sciences. Workshops are taught by expert methodologists drawn from departments across the social sciences at the University of Toronto. SSMW is an interdisciplinary forum where researchers can upgrade their methodological toolkit and build cross-disciplinary ties to like-minded scholars.
The following workshops are being offered:
- Introduction to Python
- Introduction to Web Scraping and APIs with Python
- R Basics: Analyzing and Plotting Data
- Measuring Theoretical Constructions with Unobserved Variables: An Introduction to Structural Equation Modeling
- Models of Social Change: Methods and Principles of Age-Period-Cohort Analysis
- Integrated Network Science: Social Network Analysis in R
- Multilevel Modeling: An Introduction
- Registered Reports in Behavioral Science: A How-to Guide and Description of Benefits for Scientific Progress
- Qualitative Social Science: A Fun Overview
- Hearing Silence in Qualitative Interviews
Workshops are free, but registration is required.
All workshops will be held in Room 36 in the Department of Sociology, St. George Campus, located at 725 Spadina Ave, Toronto, ON M5S.
Questions can be directed to ssrmweek@utoronto.ca
Full details and a link to the registration form can be found on the event website: click here or copy and paste the URL into your web browser (http://sociology.utoronto.ca/events-2-2/university-of-toronto-social-science-methods-week/university-of-toronto-social-science-methods-week-2019/)