Creating Social Science Datasets using Public APIs by Dr Zach Dickson
This course will introduce students to the process of creating social science datasets using public APIs. Public APIs are a powerful tool for collecting data from a wide range of sources, including social media platforms, government agencies, and research organizations. In this course, we will cover topics such as data collection, data cleaning, and data curation using data collected from public APIs. We will also discuss best practices for working with public APIs, including how to handle rate limits, authentication, and pagination. We will use real-world examples to illustrate the concepts and methods covered in the course, and students will have the opportunity to create their own social science datasets using public APIs. By the end of the course, students will have a solid understanding of how to create social science datasets using public APIs, and will be able to apply these methods to their own research projects. A basic knowledge of programming (e.g., Python) is recommended for this course.
Session Details
Time: 10:00 - 15:00 (12:00 - 13:00 Lunch break)
Date: 4 June 2025
Mode: Hybrid - In person at CON 1.01 and on Zoom
All session materials and the Zoom link will be circulated after the sign-up closes on 2 June
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