Computational History is an interdisciplinary field that combines history with computer science to analyze historical data using computational methods. It involves the use of digital tools and techniques, such as data mining and text analysis, to uncover patterns and trends in historical records, making it easier to study large volumes of information. This approach allows historians to explore topics like social networks, economic trends, and cultural shifts more effectively. By leveraging technologies such as machine learning and big data, researchers can gain new insights into the past, enhancing our understanding of historical events and their implications.