Events

This interactive workshop series is your complete introduction to programming in R for people with little or no previous programming experience. It covers the basics of using RStudio, creating variables, working with data frames, and starting to analyse your data using summary statistics and data visualization. After completing this workshop series you will be able to: Navigate R Studio Open data in R and work with it in data frames using tidyverse Distinguish between different variable types Visualize data using ggplot Inspect documentation to deal with error messages R Fundamentals has 4 parts. Each of the parts takes 2 hours, and is delivered in a lecture-style coding walk through interrupted by challenge problems and a break. Instructors and TAs are dedicated to engaging you in the classroom and answering questions in plain language. The workshop series is structured as follows: Part 1: Introduction to R and RStudio Part 2: Data frames and variable types Part 3: Manipulating data frames Part 4: Data visualizations and custom functions

What is the relevance of the academy to achieving social justice? What does it mean to be a social change scholar? How can the academy be (re-)made to reflect the diversity and complexity of society, where students and communities have active voices and roles in shaping the pedagogy, research approaches, and policy production of the research university? For more than four decades, ISSI's Graduate Fellows Program has provided mentorship, training and support to doctoral students engaged in social change scholarship. This one-day symposium features the current first-year Graduate Fellows sharing their work in progress. Each panel includes one faculty respondent.

Many academics dream of sharing their research and expertise beyond the ivory tower, on media outlets such as the New York Times and NPR. However, the transition from academic to public writing can be intimidating for a variety of reasons--unfamiliarity with journalistic conventions, fear of being dismissed for making their work "too accessible" (as if that's a bad thing!), and above all, a lack of self-belief in one's expertise. In this webinar, I will talk about the mindset and mechanics behind transitioning from writing for fellow scholarly experts to writing for the public--from the art of pitching articles to landing a "big 5" publishing deal.

This three-part interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application. The complete Python Fundamentals series has 6 parts. Each of the parts takes 2 hours, and is delivered in a lecture-style coding walkthrough interrupted by challenge problems and a break. Instructors and TAs are dedicated to engaging you in the classroom and answering questions in plain language. Parts 1-3 are intended for the complete beginner in Python. We will go over the basics of Python in Jupyter, variables and data types, and a gentle introduction to data analysis in Pandas: Part 1: Introduction to Jupyter and Python, Variables Part 2: Data Types and Structures Part 3: Introduction to Pandas After completing parts 1-3, you will be able to do basic operations in Python. You will know how to navigate Jupyter Notebooks, how to work with common data types and structures, methods, and basic operations in Pandas. You will have the minimum requirements to continue to other D-Lab workshops such as Python Data Wrangling or Python Data Visualization.