Computational Social Science is an interdisciplinary field that combines social science with computational methods to analyze and understand social phenomena. It uses data from various sources, such as social media, surveys, and public records, to study human behavior, social networks, and societal trends. Researchers in this field employ techniques like data mining, machine learning, and network analysis to uncover patterns and insights. By leveraging computational tools, they can simulate social processes and predict outcomes, contributing to fields like sociology, political science, and economics.