IV International Summer School of Young Scientists in Historical Informatics: Data Science and Digital technologies in the service of a historian

The article contains information about the international summer school of young scientists "Historical Informatics – 2024". The school was organized by the Faculty of History of Lomonosov Moscow State University and the Association "History and Computer". The purpose of the school is to introduce students to the latest trends in the development of the field of application of information (digital) technologies and methods of Historical Data Science in historical research, to form a modern understanding of data and methods of their processing in the field of historical science. This is the fourth Summer School in a row, which is held annually at the end of June and attracts a lot of attention from scientific youth. The school was attended by students, postgraduates and young scientists representing universities and scientific institutions from Russia and neighboring countries. The School lasts 4 working days. First, a lecture day was held, the next 2 days of classes were held in the format of master classes, during which participants had the opportunity to learn practical skills of working with methods and software. The final day included a plenary session, a conference of students and 2 round tables, then the results of the school's work were summed up. A memorable event of the school was a plenary report by a well-known expert in the field of artificial intelligence, K.V. Vorontsov, dedicated to artificial intelligence technologies in text analysis, information search and socio-humanitarian research, which caused a large number of questions and a lively discussion among the participants. Within the framework of the conference, scientific reports of students on various topics were presented, all of them made a positive impression on the audience, which included many teachers of the school. During the work of the final round table, an express survey was conducted regarding proposals on the topics of the master classes of the next school, in which the largest number of participants spoke in favor of artificial intelligence. The feedback from students received after graduation noted the relevance of the topic and the high scientific level of lectures and master classes.

summer school, historical information science, Data Science, lecture, master class, digital technologies, artificial intelligence, statistics, historical source, method