Abstract: From November 15 to 17, 2024, the International Scientific Conference "Modern Historical Informatics: Data Analytics in Historical Research" (XIX Conference of the Association "History and Computer") was held in Moscow, on the basis of the Presidential Academy (RANEPA). The article discusses the features of this conference, the main directions of its work and the results. It is noted that, despite the increasing strengthening of data Science and its impact on the humanities, the priority in the development of historical informatics remains the same – it is focused on the increment of knowledge in various fields of historical science. The current conference was dedicated to the 100th anniversary of the birth of Academician I. D. Kovalchenko, who created the national school of quantitative history and had a great influence on the formation of modern historical source studies, and the 20th anniversary of the first Department of Historical Informatics in Russia (Faculty of History of Lomonosov Moscow State University).  The article provides an overview of the plenary and breakout sessions of the conference, as well as the expert discussion "Historical Informatics and the challenge of machine learning: what is the future of historical science in the world of artificial intelligence?" and the round table "Topical issues of historical Informatics." Within the framework of the conference, two plenary and 19 breakout sessions of eight thematic sections were held, at which over 110 reports from Russia, Belarus, Kazakhstan, Kyrgyzstan, and Uzbekistan were presented. The general trend was the participation of a large number of young researchers in the conference. It was noted that the current conference attracted a large number of young researchers, many of whom went through the summer school, which was held in 2024 for the fourth time. The conference participants noted that the current conference was a success and thanked the leadership of the Presidential Academy for the opportunity to hold a scientific forum at this prestigious university. In general, the conference showed that historical informatics as an interdisciplinary scientific field is developing steadily and actively responding to all new trends in the development of science as a whole, while remaining a part of historical science, but using all possible methods and technologies as research tools to gain new knowledge.

Abstract: 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.