Abstract: This memorial article is dedicated to the memory of Igor Nikolaevich Kiselyov, a man who did a lot in the field of informatization of historical science and archival business. Igor Nikolaevich started working as a quantifier historian, a specialist in the field related to the application of mathematical methods and computer technologies in historical research. He actively participated in research projects on historical demography and other areas of historical science, in 2002 for a series of works on the history of the Russian population in the 1930s, Yu.A. Polyakov, V.B. Zhiromskaya and I.N. Kiselyov were awarded the V.O. Klyuchevsky Prize of the Russian Academy of Sciences.
In the 1990s, the main Igor Nikolaevich became interested in archival issues: issues of informatization of archival business, creation and analysis of online archival resources.
Igor Nikolaevich was one of the leading experts in the field of historical informatics, was a member of the Council of the Association "History and Computer", conducted teaching work as an associate professor at the IAI of the Russian State University.    The article uses the memoirs of colleagues, materials of publications by I.N.Kiselyov in historical journals, in the journals "Domestic Archives" and "Archivist's Bulletin", "AIK Newsletter". as well as materials about his leadership in the development of the Concept and Program for the Informatization of Archival Affairs in Russia, the first version of the Archives of Russia portal, and participation in many archival information projects. The article highly appreciates the research work of I.N.Kiselyov and his scientific and organizational activities at the Rosarchive, where he headed departments related to informatization, the organization of research work of the Federal Archival Service of Russia and the introduction of automated archival technologies.
Igor Nikolaevich was seriously engaged in both theoretical and methodological problems of archival science. Literally until the last day, Igor Nikolaevich conducted active scientific and organizational work in breakthrough areas of archival science. His latest article "On the use of artificial intelligence in text recognition" was published in the first issue of the VNIIDAD Bulletin posthumously, and a joint scientific report "The use of artificial intelligence in document management in archives: practice, trends and prospects" was presented by his colleagues after Igor Nikolaevich passed away.

Abstract: This article is dedicated to the memory of Tamara Fedorovna Izmestyeva, a well-known specialist in the field of economic history and historical information science. A graduate of the Faculty of Economics of Moscow State University, she began her scientific and teaching work at the Faculty of History in 1969 at the Department of Source Studies, then as a researcher and senior researcher at the interdepartmental Laboratory of Historical Information Science, transformed into the Department of the same name.
Tamara Fyodorovna's research interests lay in the mainstream of both economic history and historical information science. In 1991, the publishing house of Moscow State University published a monograph based on her dissertation "Russia in the European market system, late XIX – early XX century".
T.F.Izmestyeva became one of the founders of the Association "History and Computer" (AIK), she was a member of the organizing committees of many AIK conferences, participated in the organization of schools for young scholars. The article uses publications by T.F. Izmestyeva in the journals "Russian History", "Economic History. Review", "Historical Information Scince", "AIK Newsletter", her presentations at Russian and international conferences, memoirs of colleagues and students. The article gives a high assessment of T.F. Izmestyeva's research and teaching work. Publications on economic history reflected her interests in the field of studying the foreign market of the Russian Empire, analyzing mass statistical sources. Tamara Fyodorovna introduced "economic tools" into research on economic history.
In the field of historical information science, she paid much attention to the creation of historically oriented databases, source studies and methodological problems of working with mass statistical data.
She has co-authored a number of textbooks, including "Quantitative Methods in Historical Research", "Historical Information Science", "Computerized Statistical Analysis for Historians", "Inforfmation Science for Humanities", "Information Technology for Historians".

Abstract: One of the most important issues in the study of inequality in the twenties of the twentieth century of the Soviet government is the dynamics of differentiation of wages of workers and employees as one of the most important indicators.
The subject of the study is the dynamics of the monetary and natural part of wages in the first half of the 1920s based on the materials of a set of statistical sources.
The specificity of this period is that during the years of the civil war and war communism, monetary wages did not play a significant role. The problem of wage differentiation at the beginning of the recovery period practically does not relate to the monetary part of the salary, since the subsistence minimum was provided by in-kind payments, namely, rations, which played rather the role of a "social benefit", equalizing and independent of the quantity and quality of labor.
The paper analyzes the differentiation of workers' salaries in the first half of the 1920s, and estimates its monetary part using a set of statistical methods. The dynamics of average salary values in general and for individual industries, the ratio of maximum to minimum wages for individual periods are analyzed, and more complex methods of measuring inequality are used. The main results are the characterization of the role of monetary wages in the process of transition from almost complete naturalization and the dominance of equalization to the restoration of the role of wages as a means of motivating work, increasing its productivity and, consequently, the standard of living of workers.
A turbulent period of a fairly rapid and disordered transition process to a reduction and cancellation of in-kind payments and a return to normal principles of remuneration has been revealed.
A comparison of the dynamics of natural and real wages in regional and sectoral aspects, for capitals and peripheries; for industrial workers and employees, as well as for co-workers; shows the possibilities of statistical processing and data analysis, including, in addition to descriptive statistics methods, approaches such as calculating decile coefficients and the Gini index.

Abstract: The article is devoted to the review of the School of Young Scholars which is being held for the third time by the Faculty of History of Lomonosov Moscow State University and the Association "History and Computer". The school attracts a lot of attention of students, postgraduates, young teachers and researchers from scientific centers of Russia and neighboring countries who want to get acquainted with information about the latest trends in the development of historical informatics as an interdisciplinary field of application of information technologies and methods of data analysis in historical research, to form a current understanding of data and methods of their processing in the subject field of historical research. The current trends characteristic of the modern stage of the development of historical informatics in Russia against the background of the experience of the development of similar "butt" directions in other fields of science and humanities are analyzed. Attention is paid to the changes in the landscape of the humanities in the first decade of the XXI century in connection with the processes of their digital transformation, the emergence of the multidisciplinary concept of Digital Humanities, the correlation of the content of historical informatics and "digital history". The actual problems of using the concept of "big data" and artificial intelligence for testing digital technologies and mathematical methods in solving analytical problems of historical research are considered.

Abstract: The article discusses the book by H. Salmi "What is digital history?". It is the first monograph that attempts to systematize many digital history issues from the viewpoint of a historian and culture researcher. While evaluating the conceptual problems of the relationship between digital history and digital humanities as well as digital history and historical science, the author considers Salmi’s historiographic review, reference apparatus and representativeness of Internet resources links. The content of the monograph is analyzed through the prism of the national school of quantitative history experience and from the standpoint of the national model of historical information science. The performed analysis allows the author to conclude that H. Salmi reasonably emphasizes the great “disciplinarity” of digital history, its ties with the subject area of historical science. The author of the book does not ignore quantitative methods either.  His idea of the proximity of textuality and visuality seems to be interesting as well.At the same time, H. Salmi's monograph (traditionally for digital humanities) simplifies rather complex process of mathematization and informatization of humanitarian research in the second half of the 20th century. It seems that when describing the digital past, excessive attention is paid to technological progress while methods and technologies of digital data processing are relatively less in the focus.It can be concluded that the information support of historical studies can give digital history the necessary integrity and indicate a promising vector of its development.

Abstract: The article studies the relationship of several areas associated with over 50 years that quantitative methods and information technologies in humanitarian and historical research have been in use. Firstly, it is historical information science, its structure and content, which have evolved in the domestic model of this interdisciplinary domain and “historical computing” and its specificity in the European model. Secondly, these are similar areas of general humanities. Thirdly, these are relatively new fields which are more popular in the West such as digital humanities and digital History. Having analyzed Russian and foreign historiography the author studies methodological, methodical and technological issues of the formation and development of these areas, their evolutionary stages and possible prospects for the future. The results of the analysis show the dominance of the general trends of these fields both in Russia and Europe at the initial stages and their divergence over the past 15 years which is caused by the differences in their subject areas and varying degree of influence exerted by quantitative history in the 1960s-1980s.

Abstract: The article analyzes reports made at the 16th conference of the Association “History and Computer” (AHC). Comparative analysis of the association’s conferences over the past years allows one to see both traditional and new trends national historical information science follows in the digital age, identify the main theoretical and applied problems related to the use of information technologies and mathematical methods in historical research when information resources rapidly grow and require adequate analytical methods and approaches. The article continues the work to classify and dynamically analyze topics addressed at by AHC’s conference participants as well as study the main ways national historical information science has been on since the early 1990s. The informational basis of the study is a growing full-text historiographic collection and a bibliographic database of AHC’s publications. The study has demonstrated that the conference reports correspond both to the information trend to create and use digital resources, databases, historical GIS, 3D reconstructions of historical and cultural heritage objects and to the trend to process and analyze historical sources with the help of computer simulation methods, mathematical statistics, content analysis, network and spatial analysis i.e. analytical tools necessary to grasp large arrays of digital online sources.

Abstract: This year marks the 50th anniversary of the institutionalization of domestic quantitative history which began with the creation in 1968 under the leadership of I.D. Kovalchenko of the Commission on the Application of Mathematical Methods and Computers in Historical Research at the Branch of History of the USSR Academy of Sciences. Today it is necessary to once again emphasize the important role that the quantitative history has played in the development of not only historical information science, but other areas of scientific history in our country as well. The article analyzes those features of the national school of quantitative history which ensured its relevance and interaction with other interdisciplinary areas in historical research, primarily with historical information science, and which remain relevant today. The ongoing development of the Russian model of historical information science against the backdrop of the crisis of “historical computing” in the West confirms the thesis about the balance of the analytical and informational components of the Russian model which is largely ensured by interaction with quantitative history and tradition of testing new methods and technologies for processing and analyzing information of historical sources in historical research for producing meaningful results.

Abstract: The current study develops a new version of the multidimensional fuzzy classification program for Windows on the basis of FuzzyClass algorithm created by the Department of Historical Information Science of Moscow State University. The previous version of the program (FuzzyClass1) was created over 30 years ago and is still widely used in historical and typological studies because fuzzy classification methods are not yet available in most standard statistical packages. The need for a new version of the program is caused by the fact that FuzzyClass1 was a DOS program and can hardly be adjusted to Windows, Mac, etc. Moreover, there is a need to make it more simple, friendly, accessible to a wide range of students and researchers. The new program was created by means of the VBA (VisualBasicforApplications) for MS Excel. The program is tested and evaluated on the basis of Russian economic history statistical sources earlier addressed to by Russian scholars. The adjustment has demonstrated similar results to previous studies which considered cadastres (pistsovye knigi) of Vorotynskiy Uezd in the 17th century. The authors have also compared the results of the new program with the results gained when typology of the European Russia guberniyas at the turn of the 19th and 20th centuries was carried out with the use of fuzzy classification algorithms. The comparison has demonstrated qualitatively similar results and more precise typology through FuzzyClass algorithms. Thus, the program created confirms previous results and provides new opportunities for typological research in history.

Abstract: The article is the author’s second one considering network analysis of historiography of the History and Computer Association (HCA) from 1992 to 2016. The former article studied dynamics of the composition and structure of the HCA network on the level of regional historical information science centers, their problematic issues, methodology and technological aspects. The present article analyzes the structure and dynamics of an interregional group that is the basis element of the HCA network. The author studies four traditional historical information science schools (Moscow, Minsk, Barnaul and Tambov ones) as well as their interaction. The study is carried out on the basis of an information system created by the author that includes a bibliographical and a full-text database of the HCA publications. The research method is network analysis. The author makes a conclusion about further prospects to study academic ties of researchers working within the same filed gained with the help of network analysis methods and technologies. This approach allows us to study the formation of both formal and “virtual” science group. Co-authorship data provide for tracing the advent of research centers and schools of thought, their dynamics, concentration, central figures these groups are formed around. Linking information about these groups with topical sections of the works published one can see their research interests, similarity and distinctive features. 

Abstract: The article scientometrically analyses papers published under the aegis of the History and Computer Association (HCA) for a period of its 25 years from 1992 to 2016. The main research domains, as well as schools of thought and historical computer science centers, their specific character and cooperation come under review. The article is the first of two dealing with historiography network analysis. It studies the dynamics of HCA network composition and structure at the level of regional groups. The study is based on the information system developed by the author that includes a bibliographic database of HCA published papers and full-text dataset of articles and reports presented at Association’s conferences. The method employed in the network analysis. The novelty of the study is the first attempt to study thematic historiography by means of network analysis (SocialNetworkAnalysis – SNA). The results allowed the author to see the specific character of small groups of authors developing a specific field as well as larger groups which are more stable due to their multi-dimensional “profiles” The technique offered is considered promising for historiographic research.

Abstract: The article aims at analyzing the reports and messages of the 15th conference of the “History and Computer” association (AIK). The comparison of conference materials with the historiography of Russian historical computer science provides for characterizing theoretical and applied problems related to the use of information technologies and mathematical methods in history as well as revealing new trends of this interdisciplinary field nowadays. The attention is primarily given to such aspects as the development and interaction of modern information technologies, professional information sources as well as analytical methods and approaches. The study employs classification analysis and comparative analysis methods of the problematic field of AIK’s conference materials in relation to research domains and schools of thought that have been formed in historical computer science for the last 25 years. The informational basis is a full-text collection and a bibliographic database of AIK’s publications. The study demonstrates that the conference topics are in line with two main domains of historical computer science: an informational one aiming at creation and employment of informational infrastructure – electronic resources, data bases, historical GIS, 3D reconstructions of historical and cultural heritage objects, and an analytical one involving historical source processing and analysis with the help of computer modeling methods, mathematical statistics, content-analysis, network analysis and spatial analysis. Interaction of these domains provides the growing number of digital on-line sources with the necessary research tools.