Machine Learning Applications in Social Sciences, Digital Humanities, and Beyond

This virtual workshop aims to unveil the diverse applications of machine learning techniques in domains such as social sciences, digital humanities, and beyond. We will start with a quick overview of p-value statistical significance test approach and then move to demonstrate huge potential of machine learning algorithms to provide us with important predictions and advance social science and digital humanities research as an alternative to the p-value approach. By delving into real-world case studies and practical examples, attendees will learn how machine learning algorithms can analyze vast datasets, uncover hidden patterns, and generate predictive insights. This workshop is tailored to demystify machine learning concepts for participants without a technical background, making it accessible and engaging for both beginners and enthusiasts.