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The evolution and wide use of modern technologies, tools and methods of communication are an integral part of the modern information society. In particular, current communication and information technologies provide an opportunity to create and extract a digital footprint for an individual or a certain group. In relation to the public authorities’ activities, the digital footprint can be used to analyse the reaction of society to their actions more effectively. By researching the digital footprint of social media actors in a particular region, it is possible to determine how the population treats various decisions and measures taken by the authorities. Due to digital participation, citizens have the opportunity and a tool to facilitate the management process at the stages of decision-making. The digital participation generates a digital footprint, the analysis of which provides feedback on the actions of the authorities. The purpose of the article is to propose a communicative and information model for the inclusion of the digital participation in the evaluation of social processes, consisting of mechanisms and interfaces for obtaining information alongside with mechanisms and interfaces for receiving feedback for evaluating the activities of public authorities in the region. The efficiency of the model has been practically proved by the example of a socially significant event in the Oryol region. Using the example of regional management centres, the expediency of introducing the model for evaluating the activities of public authorities in the region through receiving feedback is shown. This will increase the involvement of citizens in the regulation of social processes in the region and improve the quality of management.

Disparity in the quality of life of people living in rural and urban areas is among the major problems, often leading to greater depression among the rural population compared to those in urban areas who have access to a high standard of living. The goal of this study was to identify the issues of the quality of life that are fundamental from the point of view of rural settlements and typical for the rural population in various regions of the Russian Federation with diverse geographical, socioeconomic, and demographic characteristics. The practical relevance of our study is based on the identification of the scope of typical problems related to the quality of life in rural areas. The fundamental value of this study is the significance of digital tracks, which can serve as a source of information. The data sources included messages and posts discussing various quality of life aspects of the rural population published by VKontakte. For this study, we used messages and posts with negative implications from communities in rural settlements in ten Russian regions. These issues include housing infrastructure and utilities, transportation, the environment, telecommunications, banking, healthcare, and education.

Purpose. One of the main directions of teaching methodology is the creation of a personalized educational route. In the context of the development of the digital educational environment, it is necessary to explore the possibilities of combining individualization of learning with modern digital platforms. The key concept in the study of this topic is the "digital footprint". The article presents a model for displaying a digital footprint in the form of a digital profile, a universal diagnosis of the understanding of the educational text is compiled to create its own text field and it is recorded that the secondary educational text can be a digital artifact that remains in cloud storage and forms part of the digital footprint for a certain period of time. Methodology. The research is based on the analysis and synthesis of psychological, pedagogical and educational literature, on modeling the process of fixing secondary educational texts in the form of a digital artifact, which will be part of the digital footprint, as well as displaying the levels of subject, meta-subject and personal results. Results. The concepts of digital footprint and digital artifact, secondary educational text, and semantic reading are defined. A digital footprint model consisting of digital artifacts in the form of secondary educational texts has been developed, and a universal diagnostic of the understanding of the educational text has been created to create a secondary text by students. Practical implications. The results can be applied in creating a digital educational environment of an educational organization based on the compilation and accumulation of a digital footprint of each student, in the analysis of digital artifacts presented in the form of secondary educational texts, in the development of a system for evaluating educational results achieved using modern technologies.

Introduction. The article is devoted to the problem of digital identity. The development of the information society and digitalization processes poses to each Internet user the challenge of matching the digital profile to its real owner. There is often a big difference between a real person and his digital avatars, which leads not only to confusion and ambiguous perception of the narrator and the author by the other, but also to depersonalization of the author. Theoretical analysis. Having a digital identity allows you to successfully self-realize in the virtual space and in the real world, be it finding a job or finding a life partner. However, the development of artificial intelligence and neural networks makes it possible to create many fakes, impersonate one narrator for another, and replace the image of the author. On the other hand, the author’s desire to create a different virtual image for himself due to a number of complexes or intrigues can lead to a split personality. Conclusion. Modern digitalization processes lead to the awareness of the need for digital identity. The formation of digital identity can take place both in an authoritarian way and in a softer educational way. In any case, its presence will give the user of the digital environment undeniable advantages in personal and professional activities.

Longitudinal population studies (LPS) have a long history of providing insights into how individual consumption patterns and other lifestyle choices affect health and socio-economic outcomes. LPS typically operate as research databanks, integrating rich and deep phenotypic data - covering diverse aspects of individual, family and household status - with genomic data and linked records on health and socio-economic outcomes. However, individual consumption and behavioural choices are traditionally studied solely using self-report methods which are prone to known biases. We propose to enrich LPS databanks with a new form of digital footprint data – individual shopping history records. These are collected by supermarkets through “loyalty” card schemes and can provide a new perspective on real world behaviours and history of consumption. However, as a novel class of data in the context of longitudinal research, our ability to assess the quality and completeness of the data is unknown, as is our ability to effectively triangulate between self-reported and linked data. This paper describes a protocol for linking individual level shopping history data into a LPS using Avon Longitudinal Study of Parents and Children (ALSPAC) as a testbed. The protocol covers the process of establishing participant fair processing, an ethical and legal basis for the linkage framework itself, and how these data will be integrated into the ALSPAC databank. It does not cover the subsequent research use of these data. The protocol was built on an extensive participant engagement and acceptability work and has been approved by the ALSPAC Law and Ethics committee.

The COVID-19 pandemic has changed the way learning is organized around the world. Russian universities have also been faced with the need to quickly transfer all teaching to an online format. The importance of student satisfaction with the education quality in online learning is increasing, since it is an important condition for motivation. The paper shows that based on the analysis of students’ messages in the social network, it is possible to observe and analyze the overall dynamics and trends in student community satisfaction with the quality of the learning / the efficiency of universities and conduct a comparative analysis of the identified characteristic data groups with their totality. It is shown that the data on the reaction of students of a particular university may have significant deviations from the totality of data, which reflects the characteristics of the reaction of students of a particular university to events occurring at the same time. This may indicate the internal differences of the university, which form an appropriate response to external events.To understand the satisfaction of students in the transition to a new implementation format of the learning. The digital traces of students from the social network VKontakte were analyzed using individual Big Data tools on the PolyAnalyst software platform. This made it possible to trace changes in the mood of students and, on the example of a single university, to identify and explain deviations in the attitude of students to the implementation of the learning, as well as to verify the methodology. The methodology developed by authors makes it possible to detect problematic issues in the university, including the moment of their occurrence, relevance, degree of concern of students. Such content analysis can be used not only to assess students’ satisfaction with the quality of the learning, but also to monitor the emergence of any problems that cause concern and strong reactions on the part of the student community, as well as other communities and individual groups.

This article introduces an educational game designed to teach girls about the concept of digital footprinting. The primary objective of the game is to impart knowledge on the significance of safeguarding their online privacy and security while encouraging responsible digital citizenship. The game's design incorporates a playful and interactive approach, integrating challenges that engage and sustain the players' interest. We envision this game as a valuable resource for educators and professionals working with girls, aiming to enhance their comprehension of their online presence. The game was applied in a workshop at a high school in Brazil, providing a hands-on opportunity for female students to use acquired concepts and stimulate meaningful discussions on digital security. The results showed that usability, gameplay, and learning issues were all well evaluated.

The spatial structure of tourist flow represents the tourists' flow pattern, shows the difference of tourism resources, and provides the basis for the balance and sustainable development of tourism. Based on the digital footprint data obtained from the online travel notes on Qunar.com, this article describes and analyzes the spatial structure of tourism flow in Sanya City using the research methods of flow statistics, association rule mining, and social network analysis under the framework of anchor theory; further, it condenses the characteristics of different types of tourists at different time scales. The key findings include: (1) The spatial structure of Sanya's tourism flow is affected by the popularity of scenic spots, showing a flow pattern of "one core and two cores" and several core paths; the core area is located along the coastline, showing the characteristics of coastal tourism city. (2) In the spatial structure of Sanya's tourist flow, the distribution of core nodes is uneven, and the phenomenon of structural holes is obvious, showing the spatial pattern of uneven distribution of scenic spots and fierce competition among scenic spots. (3) In the structure network of Sanya's tourist flow, most tourists are medium-scale travelers, followed by small-scale travelers and large-scale travelers. (4) The tourist attraction system of Sanya's tourist flow is hierarchically distributed and has multiple anchor attractions. Different anchor attractions have different attractions to tourists of different types and time, except for beach tourist destinations and island areas. Therefore, targeted marketing for different types of tourists is a challenge for the future development of Sanya's tourism. In this article, the anchor point theory is introduced into the study of tourism flow. Based on the flow direction statistics, association rule mining and field investigation, the rules of the anchor point selection of tourism flow are established, verified, and supplemented by the social network analysis method. Theoretical support and quantitative data support complement each other. The application of anchor theory and association rule mining not only enriches the theoretical framework in the field of tourism flow, but it also scientifically determines the anchor points of the tourism flow's structure network. This is helpful to understand tourist behavior and mode, and it can provide targeted suggestions for the precision marketing of tropical coastal tourist cities.

This paper presents a scientifically based approach to analyzing large volumes of data from digital traces of students on social networks, which allows you to effectively identify emerging and most discussed problems among students, as well as highlight pain points that provide opportunities for growth, development of universities and improvement of the characteristics of the educational process, support for students etc. The study is based on a thematic analysis of messages published in university communities on the VKontakte social network using big data tools. The study results showed that Russian university students still face a number of challenges, including weak technical infrastructure at universities, a digital divide in access to online education, and negative attitudes towards distance learning.The scientific problem of the study is the contradiction between the existing volume of unstructured data of students’ digital traces in social networks and the lack of a scientifically-based and proven methodological approach to the analysis and evaluation of this voluminous data, which creates obstacles to fundamental research into the relationship between students’ activity in social networks and their satisfaction quality of the educational process. The practical focus is determined in conducting data analysis using big data tools. The findings and evidence-based implications are useful for developing innovative strategies and tools for assessing and supporting students.The results show that the use of big data tools for tracking trends based on digital traces of students on social networks provides highly accurate analytical data and can become the basis for identifying problematic situations in individual universities and the industry as a whole, for data-driven decision-making and management .

Student retention is a significant challenge for higher education institutions (HEIs). The fact that a considerable number of dropouts from universities are primarily due to academic underperformance motivates universities to develop learning analytics tools based on models for predicting learning success. However, the scalability of such models is limited since students’ academic performance and engagement, as well as the factors influencing them, are largely determined by the educational environment. The article proposes a hybrid approach to forecasting success in completing an academic semester, which involves creating a set of predictive models. Some of the models use historical student data, while others are intended to refine the forecast using current data on student performance and engagement, which are regularly extracted from available sources. Based on this approach, we developed an ensemble of machine learning models and the Markov-process model that simultaneously address the tasks of forecasting success in mastering a course and success in completing a semester. The models utilize digital footprint data, digital educational history, and digital personality portraits of students extracted from the databases of Siberian Federal University, and the resulting ensemble demonstrates a high quality of the forecast. The proposed approach can be utilized by other HEIs as a framework for creating mutually complementary forecasting models based on different types of accessible educational data.

International heritage management approaches have developed into a more inclusive process wherein public participation is identified as a pivotal tool. Thus, determining how to assess public interests and include the public’s ideas in heritage protection has become a technical issue, but relevant research still remains limited. This paper aims to test the digital footprints of social media users as a public participatory tool, with the objectives of identifying industrial heritage landscape attributes and assessing associated values. Targeting the Sanxian industrial heritage landscape of Liangdancheng in China as a case study, in this research the data from user-generated content on social media platforms Ctrip, Weibo, and Meituan were collected and processed with ROST CM 6 and NVivo 12, and content analysis (CA) and importance-performance analysis (IPA) were conducted. Results revealed that the industrial heritage landscape of Liangdancheng encompasses various built, cultural, and natural environmental resources, including both tangible and intangible attributes such as architectural constructions, historic artifacts, cultural events, and plants. These attributes were assessed and categorized into four quadrants of importance–performance characteristics, wherein cultural environmental resources show relatively high performance but built environmental resources need further actions to improve their value perception and interpretation among the public. This research demonstrated that the digital footprints of social media users as a participatory tool can work well in terms of data accessibility, value identification, and public representation, advancing the theoretical framework of Chinese industrial heritage management and global practices.

While sport psychologists have recently been encouraged to embrace digital technology and social media use in their practice, little is currently known about the associated benefits and challenges of adopting these recommendations. Published studies in other professions have suggested that engaging in social media use can be a double-edged sword, offering great communication benefits, but at the same time having the potential to impact upon work-life balance and general wellbeing. Therefore, the aim of this study was to explore practitioner social media use and perceptions, and to explore participant use of the Twitter social media platform.Participants were initially 44 sport psychology practitioners who complete an online questionnaire, of which 28 also consented to their Twitter posts from the previous 30-days being analyzed using a reflexive thematic analysis approach. Analysis produced two main categories: tweets and retweets. The tweets were composed of seven first order themes (media comments, advice and opinion, thoughts on events, self-promotion, knowledge dissemination, recommendations and activity), with the retweets composed of eight first order themes (media programming, events, sports fixtures, promotion, sport-specific content, news stories, opinions, and dissemination). Of particular importance was the perceived link between social media use and mental health, and lack of training and development.

The large-scale global digital transformation of the economy is changing all spheres of human activity, introducing fundamental changes, including all the levels of educational system. The modern educational process is not limited to the digitisation of educational materials or to the introduction of remote education. Digital transformation impacts the educational activities in higher education, secondary, professional, and even preschool education. Development and implementation of digital learning environments is a prerequisite for obtaining detailed learning data of an individual for the entire time of his education, that caused the appearance of the lifelong digital educational footprint. The developers of digital educational courses plan to analyze the digital footprint and to use the results to adjust an educational trajectory when studying at higher educational institutions. The integration with social networks and messengers provides the data needed to create virtual assistant based on the individual behavior, that helps the student to master the course material. The collected data is also useful to create student’s digital twin, that is used by the teacher to conduct educational experimental research on the implementation of new educational technologies, or to adjust learning path to achieve maximum educational results of the particular student. The authors conducted the research on possibilities to use digital footprint for assessing the current state of the student’s competencies and for keeping the student’s competencies in an active state taken into account lifelong learning strategy. The proposed by the authors’ hypotheses could be applied to improve the effectiveness of adaptive systems of professional adult education.

The article deals with a new phenomenon for the legal science – the institute of legal regulation of the genesis of digital identity.The subject of the research is the relations that emerge in the process of such regulation. The aim of the research is to analyze the legal regulation of the institute of digital identity at the international, regional and national levels, including in the Russian Federation.The methodological basis of the research is the logical and systematic methods of scientific knowledge, as well as methods of analysis and synthesis, formal-dogmatic and comparative-legal methods.International, foreign and domestic experience in the genesis of digital identity is studied. The features of legal regulation of each of the elements of digital identity – digital profile, digital image, digital footprint – are analyzed. At the same time, the legal regulation of the relevant relations is considered in their dynamics. As a result of the study, conclusions were made about the peculiarities of international legal regulation of relations related to the genesis of a legal identity, the legal regulation of these relations in the European Union and China. It is noted that international legal regulation of relations related to the genesis of legal personality is carried out, as a rule, only in connection with the need to protect human rights and freedoms in the digital age, including in virtual space; in the European Union the legal regulation is mainly subject to the digital profile of the person, based on his personal data; at the level of individual states the most holistic and systemic regulation of relations related to digital identity is carried out in the People's Republic of China on the Special attention is given to the problems of legal regulation of the genesis of digital identity in the Russian Federation. It is noted that the problems of legal regulation of the genesis of digital identity are becoming particularly relevant at the present time. Its theoretical comprehension is a prerequisite for improving current legislation and law enforcement practice in the Russian Federation.It is pointed out that there are significant gaps in the legal regulation of relations related to the digital footprint in Russia, the most regulated relations in the area of digital profile and digital image; further lack of legal regulation of the collection and processing of information that constitutes the content of the digital identity footprint in Russia will lead to a massive violation of individual rights and freedoms.The study also found that the international legal regulation of relations related to the genesis of the legal personality is usually carried out only in connection with the need to protect human rights and freedoms in the digital age, including in virtual space, and in the European Union the legal regulation is mainly subject to the digital profile of the person, which is based on his personal data.

Abstract Background Flat feet increase the risk of knee osteoarthritis and contribute to frailty, which may lead to worse life prognoses. The influence of the foot skeletal structure on flat feet is not yet entirely understood. Footprints are often used to evaluate feet. However, footprint-based measurements do not reflect the underlying structures of feet and are easily confounded by soft tissue. Three-dimensional evaluation of the foot shape can reveal the characteristics of flat feet. Therefore, foot shape evaluations have garnered increasing research interest. This study aimed to determine the correlation between the three-dimensional (3D) features of the foot and the measurement results of footprint and to predict the evaluation results of flat feet from the footprint based on the 3D features. Finally, the three-dimensional characteristics of flat feet, which cannot be revealed by footprint, were determined. Methods A total of 403 individuals (40–89 years) participated in this study. The proposed system was developed to identify seven skeletal features that were expected to be associated with flat feet. The loads on the soles of the feet were measured in a static standing position and with a digital footprint device. Specifically, two footprint indices were calculated: the Chippaux–Smirak index (CSI) and the Staheli index (SI). In the analysis, comparisons between male and female measurement variables were performed using the Student’s t test. The relationships between the 3D foot features and footprint index parameters were determined by employing the Pearson correlation coefficient. Multiple linear regression was utilized to identify 3D foot features that were strongly associated with the CSI and SI. Foot features identified as significant in the multivariate regression analysis were compared based on a one-way analysis of variance (ANOVA) with Tukey’s post hoc test. Results The CSI and SI were highly correlated with the instep height (IH) and navicular height (NH) of the 3D foot scanning system and were also derived from multiple regression analysis. In addition to the NH and IH, the indicators of the forefoot, transverse arch width, and transverse arch height were considered. In the flat foot group with CSI values above 62.7%, NH was 13.5% (p

The article addresses a topical subject – new types of digital traces and study of various objects within the framework of digital traceology. The author outlines a problem of applying the concepts in the study of objects manufactured using new technologies. Also, attention is paid to the heuristic approach, applied when there are no research methods and the development of specific methods is required. The author reviews situational examinations, determines their effectiveness in solving expert tasks using modern technologies.

Every person with an internet connection leaves digital traces behind during their activities in cyberspace. Sharing texts, Internet communications, photographs, and other files in an Internet environment allows, among other things, websites to collect information about us. Currently, the identity of persons is being misused, caused using data within the user's digital footprint. It is both a digital trace of the user's activity as a natural person and a trace of the user as an employee of the company. The article deals with the issue of digital tracks and methods of obtaining data on the Internet.

This qualitative study explores mental health clinician perspectives on how information extracted from client interactions with digital devices such as smartphones and the Internet (their digital footprint data) can inform client treatment. The process of learning about an individual's behaviours and psychology from their digital footprint, what has been termed ‘digital phenotyping’, has emerged in recent years as a field of research with potential to offer insights of clinical value that could be used to predict/detect mental ill-health and inform treatment. This research agenda has largely consisted of quantitative studies exploring statistical associations between smartphone data and psychometric outcomes among relatively small participant cohorts. We on the other hand focus on how the data gathered from smartphones and other digital sources could be converted to pieces of meaningful information that clinicians could directly access and interpret to augment their practice and inform their treatment of clients. Through a reflexive thematic analysis of interviews involving clinical psychologists, this study presents ideas and a framework for understanding how digital phenotyping can inform, augment, and innovate client treatment. In total, five themes concerning the ethics, praxis, and value of digital phenotyping for client treatment are generated.

National Forest Villages in China are village types with significant environmental resources and cultural landscapes that play a vital role in ecological conservation, tourism development, territorial planning, and other elements. Understanding tourists’ landscape perception preferences is important to the long-term development of their landscape systems. Using Xidi village from the second batch of National Forest Villages as a research case, we gathered the evaluation digital footprints of visitors to the village with Python (version 3.12.0) and then used the ROST CM6 software and the semantic network analysis method to sort out the general characteristics of visitors’ perceptions of the village’s landscape. Finally, we constructed a multidimensional landscape perception model by studying precise details of passengers’ views of Xidi village on four dimensions: natural landscape, humanistic landscape, landscape environmental atmosphere, and emotional state. The findings show that travelers’ perceptions of Xidi village’s landscape primarily focus on scenery, architecture, and culture, with the humanistic landscape having the strongest degree of perception, the landscape environment atmosphere having the middle degree of perception, and the natural landscape having a weaker degree of perception. Most travelers have positive emotions, and commercialization and homogenization are negative factors that trigger negative emotions. The optimization recommendations for Xidi village’s landscape system are then offered in light of the study’s findings.

During the past two decades, higher education institutions have been experiencing challenges in transforming the traditional way of in-class teaching into blended learning formats with the support of e-learning technologies that make possible the collection and storing of considerable amounts of data on students. These data have considerable potential to bring digital technologies in education to a new level of personalized learning and data-driven management of the educational process. However, the way data are collected and stored in a typical university makes it difficult to achieve the mentioned goals, with limited examples of data being used for the purposes of learning analytics. In this work, based on the analysis of existing information systems and databases at Siberian Federal University, we propose principles of design for a university database architecture that allow for the development and implementation of a data-driven management approach. We consider various levels of detail of education data, describe the database organization and structure, and provide examples of learning analytics tools that can benefit from the proposed approach. Furthermore, we discuss various aspects of its implementation and associated questions.

Обсуждается применение предсказательных систем в образовании на основе использования технологий больших данных посредством управления цифровым следом учащихся. Основное внимание уделено принимаемым управленческим решениям. Описаны текущие тенденции формирования цифрового следа учащихся, сформулированы риски и вызовы внедрения цифровых технологий в образовательную сферу. Описаны два подхода к оптимизации собираемых данных: геймификация образования с созданием среды сбора данных и использование специализированных подходов в обработке данных. В отношении второго подхода выявлена важная роль априорных алгоритмов и экспертных оценок, применяемых в процессе обработки цифрового следа. Проводится параллель с использованием больших данных в науке, показана важность неоднократного обращения к данным и применение апробированных методов извлечения информации из неструктурированных озер данных. Показано, что в образовательной сфере процессы цифровизации выражаются в усилении роли внешних интересантов, не связанных с государством. Эти тенденции вступают в противоречие с государственными интересами, что приводит к активному вмешательству государственных институтов в образовательный процесс. По мнению авторов, появляется перспектива принудительного формирования цифрового следа. С целью решения возникающих сложностей, связанных с конфликтом социального и технического, предлагается сделать упор на развитии цифровой культуры и повсеместном внедрении этики обращения с большими данными.

Network patterns of tourist flows can reveal differences in tourism resources among destinations from the perspective of network science, providing valuable suggestions for tourism managers and policymakers to promote the balanced and sustainable development of tourism. This paper focuses on urban agglomerations, a highly developed spatial form of integrated cities, and proposes a research framework to extract the network patterns of tourist flows through digital footprints. Based on an illustrative case study using geo-located travel blog data from Qunar.com, we built a tourist flow network for the Guangdong-Hong Kong-Macao Greater Bay Area (GBA), China. The analysis shows: (1) GBA’s tourist flow network is obviously heterogeneous, showing a pattern of “four cores and three poles”; (2) the strong “administrative barrier effect,” revealed by community detection within the network, is the main obstacle to integrating regional tourism; (3) strengthening the infrastructure of tourism mediation cities such as Guangzhou, Zhuhai, and Shenzhen, so as to avoid the “structural hole” caused by the tourist flows between cities, is an urgent issue that the GBA government needs to address. To summarize, the research framework can provide a theoretical basis and concrete suggestions for the planning and management of the tourism industry in urban agglomerations.

Longitudinal population studies (LPS) have a long history of providing insights into how individual consumption patterns and other lifestyle choices affect health and socio-economic outcomes. LPS typically operate as research databanks, integrating rich and deep phenotypic data - covering diverse aspects of individual, family and household status - with genomic data and linked records on health and socio-economic outcomes. However, individual consumption and behavioural choices are traditionally studied solely using self-report methods which are prone to known biases. We propose to enrich LPS databanks with a new form of digital footprint data – individual shopping history records. These are collected by supermarkets through “loyalty” card schemes and can provide a new perspective on real world behaviours and history of consumption. However, as a novel class of data in the context of longitudinal research, our ability to assess the quality and completeness of the data is unknown, as is our ability to effectively triangulate between self-reported and linked data. This paper describes a protocol for linking individual level shopping history data into a LPS using Avon Longitudinal Study of Parents and Children (ALSPAC) as a testbed. The protocol covers the process of establishing participant fair processing, an ethical and legal basis for the linkage framework itself, and how these data will be integrated into the ALSPAC databank. It does not cover the subsequent research use of these data. The protocol was built on an extensive participant engagement and acceptability work and has been approved by the ALSPAC Law and Ethics committee.

The article presents a focused analysis of the Russian-language scientific literature of the first decades of the twenty-first century on the problems of the development of social informatics in Russia. The authors have shown that the multidimensionality of social informatics causes an increasing interdisciplinary research interest in the professional community and is divided into four directions. First, researchers refined the conceptual foundations of social informatics. The second direction is devoted to the study of information resources in their dynamics. The third direction considers and analyses digital traces and their use under the conditions of digital transformation. The fourth direction is devoted to the problems of children and young people in the information environment. The authors achieve intermediate results. Firstly, the clarification of the conceptual basis of the study of social informatics is due to the public demand for comprehensive informatization. Secondly, interest in information resources is due to the need for effective organization of data series in information systems. Thirdly, the accounting and analysis of digital traces and their use are due to the public need for collective security. Fourthly, it is necessary to observe the problems of perception and use of digital technologies by children and young people, as well as their socialization in the developing information society. Finally, the authors conclude that the potential of social informatics is increased by an interdisciplinary interest in qualitative changes in Russian society in the context of digital transformation.

The relevance of the problem of adolescent behavior in the digital educational environment is conditioned by acceleration of education digitalization processes, which participate in the formation of a new type of behavior, i.e. digital behavior, that is defined as a system of actions associated with the use of the digital environment. The purpose of the present work is to investigate the current state of this problem and outline the prospects for its further study on the basis of the analysis and generalization of Russian and foreign sources. We employ the methods of theoretical analysis, systematization of the results of relevant psychological and pedagogical studies and the retrospective analysis of key concepts. We also present the general conceptual system of the research area under study and the genesis and semantics of the terms: information behavior, digital behavior, educational environment, digital educational environment (DEE). The study has revealed the process of transformation of views on the educational environment and the difference between the digital environment and the pre-digital one. The problem area of DEE study has been indicated: positive and negative effects of DEE implementation, psychological reasons for rejecting innovations, psychological safety of the educational environment and design of the effective DEE. We have also investigated the problem of full scale use of digital educational platforms and services in Russian schools to improve the quality of the learning process, including distance learning. We have considered the sources and methods of researching digital behavior, i.e. digital psychometrics based on the analysis of “digital footprints”. Unlike most works that study deviant behavior of adolescents, our work focuses on normative, pro-social behavior. We have taken into consideration such problems as behavior of schoolchildren on different digital educational platforms, digital multitasking, interaction of adolescents with electronic text content, stages of subjectivity formation in the digital educational space, which are relevant for the study.

The COVID-19 pandemic has proved a powerful catalyst for the integration of digital technologies in everyday life. Many digital routines have replaced the traditional ones relating to purchasing goods and services, information exchange, movement, document issuance, or scheduling medical appointments. Despite technology proliferating through society, the digital divide is widening. The place of residence is a factor affecting the involvement in digitalisation, along with age, education, income, and the availability of ICT infrastructure. This study evaluates the readiness of the population of various Russian regions to embrace digital technologies. Based on a comparative analysis of traffic to the most popular websites on the Russian Internet, grouped into five categories (e-commerce, e-government, information exchange, spatial mobility, scholarly communication), an index method for assessing readiness for digitalisation is developed. The study uses Yandex search data from February 2019 to January 2021. The findings suggest that Russian regions may be divided into digitally advanced areas, runner-ups, average performers, and the digital periphery. Recommendations are given on how to increase readiness for digital transformation in territories of different types without running the risks of forced digitalisation.

Based on the digital footprint data, exploring the differences in tourist market structure and driving factors before and after COVID-19 is important for identifying tourist market demand and optimizing tourism product supply in the post-pandemic era. Most of the existing studies have explored the impact of the pandemic on the tourist market in well-known or large cities and have provided suggestions for tourism recovery. However, these suggestions are not entirely applicable to smaller cities. Small cities have a single level of tourism product, high homogeneity of tourism resources, small tourist market scale, and high volatility of the tourism industry. Therefore, it is necessary to study the differences in the tourist market structure of small cities and its driving factors before and after the pandemic and to propose targeted measures for the tourism recovery in the post-pandemic period. This paper, taking small cities as the study area and using online travel diaries as the data source, analyzed the differences in the spatial and temporal structures of tourist markets and their driving factors in Dengfeng and Kaifeng, China, before and after the pandemic. Then, countermeasures for tourism industry recovery in the post-pandemic era were proposed. The results were as follows: the difference in the tourism off-peak season increased after the pandemic, and the concentration of tourist market spatial distribution in Dengfeng showed a decreasing trend while that in Kaifeng showed an increasing trend. In addition to region traffic, the driving effects of leisure time, climate comfort and residents’ income level weakened after the outbreak. Dengfeng and Kaifeng can enhance the tourist market tendency and attractiveness by creating special indoor tourism projects, strengthening tourism product promotion and marketing and enhancing the facilities related to self-driving tours.

The paper reviews the existing approaches to using digital footprints in the digital learning environment. Monitoring digital footprints of university students can help to design smart learning environment and predict models of interaction between this environment and the user. The article covers the main analysis tools that can be applied to activity monitoring in LMS Moodle, including datasets as a convenient resource for distant learning. The authors studied authentication techniques that are based not on one’s knowledge but on the confirmation of one’s digital profile. The research results revealed some personal styles and patterns of cognitive behavior that reflect students’ work in the digital learning environment. The research results can be used to develop new psychological support of activity monitoring of the digital university environment, as well as to create new effective cognitive user-friendly interfaces.

Digitalization has affected the economies and the everyday life of the population all around the globe. Industries are going digital with the Industry 4.0 mode changing the conventional practices of doing business. People spend a significant amount of time online shifting their daily routines to electronic format. The wide dissemination and adoption of ICTs place mutual expectations from the population to have competence in using modern digital technologies and from firms and public institutions to provide their services online. Not surprisingly there is a strong digital divide between territories in their digital capacity – the ability of a territory to generate digital content. This study is aimed at evaluating the digital capacity of cities and municipalities in Russia by measuring their digital footprint in the tourism industry. Tourism is found to be an information - intensive economy sector with a large volume of consumer-generated content making it ideal for measuring the digital capacity of territories. The research design is based on geotagged hashtags sourced from Instagram – one of the most popular social networks worldwide. The geographical scope of research covers 205 cities in 10 regions of Russia – Arkhangelsk region (14 municipalities), the Republic of Crimea and Sevastopol (19 municipalities), Kaliningrad region (28 municipalities), Krasnodar region (26 municipalities), Leningrad region (69 municipalities), Murmansk region (16 municipalities), and Rostov region (23 municipalities). All of the regions are located in the European part of the country but differ in environmental, socio-economic, and geopolitical parameters. In order to focus on the tourism sector, the dataset on tourist accommodation establishments and bed places is collected in addition to population statistics. The analyzed data is mapped, and a series of figures present the re search findings. The research results suggest that consumer-generated content with place-related hashtags in Instagram is applicable for tracking the tourism sector development and the tourism-related digital capacity of a territory. However, a number of limitations are identified in using user-generated digital content in social media. This includes overrepresentation of large cities over smaller settlements despite not being the direct location of reference; ‘noisy data’ featuring additional meaningless information due to ambiguous hashtags; an increasing volume of commercial posts from bloggers, self-employed, and business.

Цифровизация образования ставит перед высшей школой задачу формирования цифровых компетенций обучающихся, включающих взаимодействие посредством цифровых технологий, управление информацией и данными, способность решать разнообразные задачи в области использования информационно-коммуникационных технологий, интеграцию и переработку цифрового контента и др. Цель работы – выявить уровень сформированности цифровых компетенций курсантов вуза МЧС России. Результаты исследования иллюстрируют недостаточный уровень сформированности цифровых компетенций студентов, в частности информационных цифровых компетенций (знание сущности цифрового следа и кибертени) и цифровой компетенции коммуникации и сотрудничества (соблюдение мер предосторожности при работе в интернет-пространстве). У 80 % опрошенных выявлен низкий уровень развития цифровых компетенций: они вообще ничего не слышали о понятиях «цифровой след» и «кибертень» и особых мер предосторожности при работе в сети Интернет не предпринимают. А 15 % опрошенных характеризуется средним уровнем развития цифровых компетенций: знакомы с этими понятиями, но затруднились в обозначении их сущностно-содержательных характеристик и отражении мер предосторожности при работе в сети Интернет. Пять процентов опрошенных обладают высоким уровнем развития цифровых компетенций: знают и раскрывают смысл понятий «цифровой след» и «кибертень», соблюдают меры предосторожности при работе в сети Интернет. По результатам исследования авторы приходят к выводу о необходимости информационно-методического сопровождения большинства студентов в этом направлении, подразумевающего интеграцию цифрового материала в содержание изучаемых дисциплин, включение факультативных занятий, введение цифровых модулей и дополнительные образовательные программы.

Fine-scale population datasets are essential to many health and development applications. Quite a few population estimate approaches have been proposed and multiple gridded population datasets have been produced. However, it is still a challenge to accurately estimate daily and even hourly population dynamics. In this study, we present an ensemble learning approach to tackle the challenge through integrating a digital footprint dataset and multiple geospatial ancillary datasets to estimate population dynamics. More specifically, we used the geographically weighted regression model to integrate two aspatial tree-based learning models and generated preliminary hourly and daily gridded population estimates. We then adjusted the fine-scale population estimates based on the county-level estimates and their nonlinear relationship with the grid-level covariates. After sufficient model training and parameter tuning, we produced a series 0.01-degree gridded population maps (FinePop) of China for 2018, including a nationwide daily-average map and provincial hourly-average maps. The FinePop is more accurate than the WorldPop and LandScan datasets, as suggested by the highest R2 (0.72) obtained from the comparison against township-level population census data. The root mean squared error of the township population density estimates for FinePop, WorldPop, and LandScan are 3162, 3327, and 3423, respectively. The FinePop also shows its advantages in unraveling transportation networks and the diurnal-nocturnal population migration patterns in both small and large cities.

Purpose of the study. The relevance of the article is due to the digital transformation of the educational process and the increasing requirements for digital education. The purpose of this study is to develop a cognitive model of the learning path based on the digital footprint and analyze the results of its testing.Materials and methods. The study includes a review and analysis of bibliographic sources on the problems of using the digital footprint in the education system, as well as the construction of a model of the e-learning path management system taking into account the digital footprint of students with its implementation in the e-learning system based on LMS Moodle.Results. In this paper, the concept of the digital footprint of trainees is given, the structure of its components is considered. In this case, the digital footprint is understood as the electronic form ofpresenting data based on the results of the educational, professional and social activities of a person, characterizing the level of their professional competence in terms of the trajectory of personal and professional development. At the same time, components of digital footprint are distinguished as technical, technological, personality-psychological, behavioral, active, competent, communicative, and reflective. The concept of the cognitive model structure of a learner is also given, which includes personal experience and competence, cognitive abilities, socially-determined and biopsychic characteristics, the ability to reflect, and technical equipment. At the same time, we can conclude that the digital footprint of the student is to a certain extent a digital imprint of the current cognitive model, fixed at a certain point in time and showing the place of a particular person in social and professional environment.Based on the results of modeling the e-learning trajectory, the concept of an electronic training course has been designed to form and evaluate the professional competencies of students taking into account their digital footprint. The model was tested in the LMS e-learning system of the Bashkir State Agrarian University for both full-time students and students of a distance group of continuing education courses as part of further professional education. The proposed electronic course allows, in particular, to realize the cognitive model of the educational process by varying the learning tasks and their learning paths.Conclusion. The considered methodology for formation of an educational trajectory based on a digital footprint is intended to improve the educational process, increase its efficiency by strengthening control over the current level of formation of students’ competencies. The proposed concept of e-learning, taking into account the cognitive model of the learner, allows you to build a flexible learning path that takes into account the existing level of professional competence of the student and individual characteristics and needs. At the same time, it is concluded that the formation and assessment ofprofessional competencies of students is a complex task, the effective solution of which requires the integration of the efforts of all participants in the educational process, including lecturers and students.

In this paper, the authors examine the adequacy of the counter-terrorism concept, which does not envisage institutional responsibility for collecting, processing, and fixing traces of cyber-related terrorist activities. The starting point is the fact that today numerous human activities and communication take place in the cyberspace. Firstly, the focus is on the aspects of terrorism that present a generator of challenges to social stability and, in this context, the elements of the approach adopted by the current National Security Strategy of the Republic of Serbia. In this analysis, adequacy is evaluated from the point of view of functionality. In this sense, it is an attempt to present elements that influence the effectiveness of counter-terrorism in the information age. Related to this is the specification of the role that digital forensics can play in this area. The conclusion is that an effective counter-terrorism strategy must necessarily encompass the institutional incorporation of digital forensics since it alone can contribute to the timely detection or assertion of responsibility for terrorism in a networked computing environment.

Introduction. Analysis of the digital footprint of a student and / or a researcher is a promising area for optimizing the individual development path.Materials and Methods. Various approaches to the interpretation and use of the digital footprint are considered. A model of the use of a trace is given, depending on the didactic task being solved, the choice of which determines the use of a specific digital tool from the cloud. The work uses various methods: analysis of articles and publications on the selected topic, systematization of the knowledge gained, classification and interpretation of terms and concepts.Results. The authors considered the features of the analysis of digital traces in such environments, programs, applications, websites, electronic resources such as a scientific electronic library, a search query service, social networks, international databases of scientific publications, citation services, services for managing joint projects, websites for Internet seminars (webinars), Moodle learning environment, video hosting, etc.Discussion and Conclusions. The study of digital footprints is a promising area. The advantages of this approach include: the ability to declare oneself as a research scientist; active search for like-minded people on the Internet; understanding the area of scientific interest; the possibility of receiving feedback, incl. advice from the professional community.

Social media plays important role in many aspects of organizational life, and have become increasingly important in recruitment decisions. The purpose of this study is to understand the key issues in the use of digital footprint in recruitment, by using theme analysis as the research method, 10 managers of human resource department at Iranian banks who were responsible for recruiting of employees were interviewed. Nine themes emerged from the analysis: (a) Digital footprint usage enhances the complexity of employment processes, (b) The use of digital footprint in employment processes leads to the optimization and acquiring visions with regard to job applicants, (c) The impact and significant positive role of social media on maintaining employees, (d) Connecting networks available on social media lead to detection of reciprocal opportunities and bridging among job applicants and employers, (e) The role and desired implication of social media in post-employment processes, (f) The need for updating the knowledge of HR managers with respect to the continuous changes in environmental conditions , (g) The necessity of offering an opportunity to job applicants in high level posts within an organization to explain the negative results of information collected from applicant’s digital footprint on cyber space, (h) The need for measuring the accuracy of information collected from social media, (i) The necessity of educating, culture-building and creating the essential infrastructures for social media use in the society and among employees. The results of this study provide insight to effects of digital footprints on recruitment decisions, reduction of disciplinary actions and firing of employees.

The article is devoted to the study of the problems of personal information security, taking into account the impact of Big data in the current crisis of information security. A person is rapidly immersed in cyberspace, conducts business in it, conducts financial operations, actively receives educational and other social services. These processes lead to the formation of a digital footprint. The article considers the phenomenon of the digital footprint appearance and the processes associated with it. In particular, considered the formation of a new symbolic environment. The cryptocontainer, complex information protection software, was designed and developed as a result of the actual personal information security problems analysis and as a part of the secure platform creation initiative. Its principles are discussed in this article. An alternative approach to providing information security was proposed, taking into account the personal information space.

The rise of the fourth industrial revolution aspires to digitize any traditional manufacturing process, paving the way for new organisation schemes and management principles that affect business models, the environment, and services across the entire value chain. During the last two decades, the generated advancements have been analysed and discussed from a bunch of technological and business perspectives gleaned from a variety of academic journals. With the aim to identify the digital footprint of Industry 4.0 in the current manufacturing ecosystem, a systematic literature survey of surveys is conducted here, based on survey academic articles that cover the current state-of-the-art. The 59 selected high-impact survey manuscripts are analysed using PRISMA principles and categorized according to their technologies under analysis and impact, providing valuable insights for the research and business community. Specifically, the influence Industry 4.0 exerts on traditional business models, small and medium-sized enterprises, decision-making processes, human–machine interaction, and circularity affairs are investigated and brought out, while research gaps, business opportunities, and their relevance to Industry 5.0 principles are pointed out.

With the development of tourism and the change in urban functions, the analysis of the spatial pattern of urban tourist flows has become increasingly important. Existing studies have explored and analyzed tourist behavior well, using the appropriate digital footprint data and research methods. However, most studies have ignored internal mechanisms analysis and tourism decision making. This paper proposed a novel framework for tourist behavior analysis inspired by geo-information Tupu, including three modules of the spatiotemporal database, symptom, diagnosis, and implementation. The spatiotemporal database module is mainly used for data acquisition and data cleaning of the digital footprint of tourists. The symptom module is mainly used for revealing the spatial patterns and network structures of tourist flows. The diagnosis and implementation module is mainly used for internal mechanism analysis and tourism decision making under different tourist flow patterns. This paper applied the proposed research framework to Dengfeng City, China, using online travel diaries as the source of digital footprint data, to analyze its tourist behavior. The results were as follows: tourist flows of Dengfeng were unevenly distributed, thus forming an obvious core–periphery structure with intense internal competition and unbalanced power. The difference in tourism resources between its northern and southern areas remains a challenge for future tourism development in Dengfeng.

The article considers a non-standard design practice in a distance learning format at the Department of Architecture and Design of Moscow Information and Technology University-Moscow Architecture and Construction Institute (MITU-MACI). It also reveals the peculiarities of digitalization as means of modernization and advancement of the learning process.

The article tells about the transition of Moscow Information and Technological University-Moscow Architecture and Construction Institute (MITU-MACI) into a digital educational environment, describes the peculiarities of implementation of distance methods into the technology of traditional training of architects. The prospects are estimated with regard to increasing the level of educational activity.

More students are now online at school because of several factors such as the increasing affordability of mobile devices; the rapid proliferation of low-cost or free educational applications; and because internet access is more widely available. When students are learning online, however, their personal information needs to be protected. Student supervision in the past focused on physical presence, but it must evolve now to include students in digital settings. Updated legislative policy alone cannot eliminate risks to digital privacy. Students, teachers, and parents need to become more aware of the privacy risks and all should build digital citizenship skills. The research presented in this paper is policy analysis that examines the availability and direction of digital supervision policies in Canada and the U.S. and then compares the findings to international policies and directions. The authors find key differences in policy approaches designed to supervise students online and protect their digital privacy. Based on this policy analysis, the authors recommend that more collaborative efforts are needed to protect students' digital privacy and manage their online risks.

This research deals with the challenge of reducing banks’ credit risks associated with the insolvency of borrowing individuals. To solve this challenge, we propose a new approach, methodology and models for assessing individual creditworthiness, with additional data about borrowers’ digital footprints to implement comprehensive analysis and prediction of a borrower’s credit profile. We suggest a model for borrowers’ clustering based on the method of hierarchical clustering and the k-means method, which groups actual borrowers having similar creditworthiness and similar credit risks into homogeneous clusters. We also design the model for borrowers’ classification based on the stochastic gradient boosting (SGB) method, which reliably determines the cluster number and therefore the risk level for a new borrower. The developed models are the basis for decision making regarding the decision about lending value, interest rates and lending terms for each risk-homogeneous borrower’s group. The modified version of the methodology for assessing individual creditworthiness is presented, which is to reduce the credit risks and to increase the stability and profitability of financial organizations.

The article is devoted to learning analytics problems associated with the digital culture development in the university educational space and with the student activity control in the vocational training process. The empirical basis of the study was a series of surveys conducted by the Center for Sociological Research of the Peter the Great Polytechnic University in 2018–2020. To systematize the information on the traces of students’ activity in the digital space, the method of constructing a personal mental map, reflecting the cognitive characteristics of the student’s interactive actions in the network, was used. Because of the analysis of the mental maps, the general structure of the personal digital footprint was identified, which is significant for analytics of the student’s academic history and self-assessment of his activities in professional development. In conclusion, the constructive role of digital technology in assessing and modeling the educational process is emphasized. The study of students’ digital footprints on the university platforms, supplemented by the study of their activity in social networks, allows the development of educational modeling aimed at creating a more adequate set of competencies and soft skills of the graduate.

Serious concerns about the invasion of digital footprint information privacy due to intense commercial promotion through data mining has led to the emergence of privacy by design in the form of the Do Not Track (DNT) mechanism. This paper attempts to construct a theory to justify and find an appropriate solution to balance the different interests by implementing the DNT mechanism in the real-world marketing industry. The research method involves deduction in legal reasoning. This paper argues that digital footprint information privacy, which has high commercial value, should at least be awarded the status of a semi-fundamental human right. Additionally, when to adopt a DNT opt-out or default mechanism depends on the type of personal information involved. The practical implications suggest a compromise between digital footprint privacy protection and commercial applications in the marketing industry, to be achieved through technology. Since this important topic is relatively new in the area of marketing applications and no primary academic research has established a complete theoretical legal foundation, this article is among the first to do so. Beside its originality, this article also contributes to the literature by proposing a theoretically practical mechanism for both digital footprint privacy protection and marketing profits.

Abstract Background Foot dimension information on different user groups is important for footwear design and clinical applications. Foot dimension data collected using different measurement methods presents accuracy problems. This study compared the precision and accuracy of the 3D foot scanning method with conventional foot dimension measurement methods including the digital caliper, ink footprint and digital footprint. Methods Six commonly used foot dimensions, i.e. foot length, ball of foot length, outside ball of foot length, foot breadth diagonal, foot breadth horizontal and heel breadth were measured from 130 males and females using four foot measurement methods. Two‐way ANOVA was performed to evaluate the sex and method effect on the measured foot dimensions. In addition, the mean absolute difference values and intra‐class correlation coefficients (ICCs) were used for precision and accuracy evaluation. The results were also compared with the ISO 20685 criteria. Results The participant's sex and the measurement method were found (p < 0.05) to exert significant effects on the measured six foot dimensions. The precision of the 3D scanning measurement method with mean absolute difference values between 0.73 to 1.50 mm showed the best performance among the four measurement methods. The 3D scanning measurements showed better measurement accuracy performance than the other methods (mean absolute difference was 0.6 to 4.3 mm), except for measuring outside ball of foot length and foot breadth horizontal. The ICCs for all six foot dimension measurements among the four measurement methods were within the 0.61 to 0.98 range. Conclusions Overall, the 3D foot scanner is recommended for collecting foot anthropometric data because it has relatively higher precision, accuracy and robustness. This finding suggests that when comparing foot anthropometric data among different references, it is important to consider the differences caused by the different measurement methods.