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Due to integration and disintegration processes of the contempo­rary world as well as a large scale of population movements, cross-border areas have recently become the subject of in-depth studies and analyses. Against this background, the Polish-Ukrainian border region stands out due to the clear asymmetry of economic, institutional and social potentials, intensified by political and military conflicts and the fact that it is the external border of the European Union. The aim of the article is to present the specificity of the Polish-Ukrainian cross-border area, as well as the characteristics of the information cluster as an institutional support for boosting development processes in peripheral areas. The paper presents an analysis of objective and subjective aspects of quality of life using taxonomic measures of development. The level and spatial structure of inequalities in economic development and subjective well-being was presented using the Theil index. The use of geographic coordinates and Moran's I statistics allowed us to examine the spatial interdependence of the distribution of objective and subjective measures. Keywords: cross-border areas, integration, disintegration, information cluster, taxonomic methods, Poland, Ukraine ; Внаслідок процесів інтеграції та дезінтеграції сучасного світу, а також великих масштабів мобільності населення, прикордонні регіони останнім часом стали предметом поглиблених досліджень та аналізу. На цьому тлі польсько-українські прикордонні регіони виділюється чіткою асиметрією економічних, інституційних та соціальних потенціалів, що посилюється політичними та військо­вими конфліктами та тим, що це зовнішній кордон Європейського Союзу. Метою статті є представити специфіку польсько-українського прикордонного простору, а також характеристики інформаційного кластеру як інституційної підтримки для активізації процесів розвитку в периферійних регіонах. У статті представлений аналіз об'єктивних та суб'єктивних аспектів якості життя за допомогою таксономічних вимірів розвитку. Рівень та просторову структуру нерівності в економічному розвит­ку та суб'єктивному добробуті було представлено за допомогою індексу Тейла. Використання географічних координат та статистики I-Морана дозволило дослідити просторову взаємозалежність розподілу об'єктивних та суб'єктивних показників.Ключові слова: прикордонні регіони, інтеграція, дезінтеграція, інформаційний кластер, таксономічні методи, Україна, Польща

Badaniem kondycji finansowej zostały objęte przedsiębiorstwa średnie tzn. przedsiębiorstwa, w których liczba pracujących wynosi od 50 do 249 osób, należące do czterech sekcji PKD: "Przetwórstwo przemysłowe" (sekcja D) "Budownictwo" (sekcja F), "Handel hurtowy i detaliczny, naprawa pojazdów samochodowych, motocykli i artykułów użytku osobistego i domowego" (sekcja G), "Obsługa nieruchomości, wynajem i usługi związane z prowadzeniem działalności gospodarczej (sekcja K), działające na terenie województw lubelskiego i podkarpackiego, które złożyły sprawozdania z działalności gospodarczej zarówno w roku 2006 jak i w 2007 oraz nie zmieniły w tym czasie rodzaju swojej działalności.

In view of many dynamic changes taking place in the modern world due to the pandemic, the migration crisis, armed conflicts, etc., it is a huge challenge for official statistics to provide good-quality information, which should be available almost in real time. In this context, integration of data from multiple sources, in particular big data, is a prerequisite. The aim of the article is to characterise and evaluate the following selected methods of data integration in tourism statistics: Natural Language Processing (NLP), machine learning algorithm, i.e. K-Nearest Neighbours (K-NN) using TF-IDF and N-gram techniques, and Fuzzy Matching, belonging to probabilistic methods. In tourism surveys, data acquired using web scraping deserve special attention. For this reason, the analysed methods were used to combine data from booking portals (Booking.com, Hotels.com and Airbnb.com) with a tourism survey frame. An attempt was also made to answer the question of how the data obtained from web scraping of tourism portals improved the quality of the frame. The study showed that Fuzzy Matching based on the Levenshtein algorithm combined with Vincenty's formula was the most effective among all tested methods. In addition, as a result of data integration, it was possible to significantly improve the quality of the tourism survey frame in 2023 (an increase in the number of new accommodation establishments in Poland by 1.1% and in Bulgaria by 1.4%).

The article highlights the need to broaden the analysis of the quality of the survey results, taking into account the negative impact of certain operations of so-called editing input data, such as checking their accuracy and correction of errors. In the conclusions it underlines the need to extend the programs for academic lectures in statistics for analysis of the impact of processing operations on the quality of the results.

The article presents published by the Central Statistical Office (since 2013), quick estimates of quarterly GDP prepared on the basis of a limited set of information available within a short time after the end of the test period (which complements the still published standard preliminary quarterly estimates of GDP and its components). The projects undertaken by the Polish public statistics both organizational and methodological aim raising the standards of quality flash estimates of quarterly GDP and discusses research on methods for calculating them. There has also been a flash estimate of international comparison of quarterly GDP on the example of the Netherlands, Germany, the United States, Great Britain and Italy.

Laryngeal cancer is the most common cancer of the head and neck. The main predisposing factor is exposure to cigarette smoke, alcohol, occupational factors and HPV infections. An analysis of the incidence of laryngeal cancer in Poland shows that since the beginning of the 1990s the incidence in females has been increasing, while in Podkarpackie Voivodship there is very slight increase. The aim of the work is to explore model-based assessment of dynamics of cancer incidence and to analyze the causes of changes in the incidence of laryngeal cancer in females in Podkarpackie Voivodship in the years 1990–2012, including lifestyle, socio-economic situation, and making comparisons with the incidence trends in the country as a whole. For this purpose, a retrospective analysis of cases of laryngeal cancer in Podkarpackie Voivodship in the years 1990–2012 has been performed. Data have been obtained from the publication of the Department of Epidemiology of Podkarpackie Center of Oncology in Rzeszow and the Centre of the Maria Skłodowska-Curie Institute of Oncology in Warsaw. Dynamics of cancer incidences derived from raw data is misleading. Therefore, to analyze the dynamics of the phenomenon three regression models have been used to remove random disturbance: ARX(1), SVR and Poisson regression model. The models have been compared based on standard statistics. In Podkarpackie the model-based absolute number of cases per year in females increased slightly between 1990–2012. In Poland, the model-based absolute number of cases in females increased over 30% in the last two decades in the years 1990–2012. The percentage share of cases of laryngeal cancer in females among all malignant cancers decreased by 0,5% to 0,4% in the years 1990–2012. The average age of the incidence for females increased from 55,6 years in 1989 to 65,4 in 2010. Dynamics analysis based on raw data solely may produce misleading results in opposition to a model based approach. A model-based approach seems to be relevant especially for the ill-behaved time series for such a number of cancer incidences.

As a result of the COVID-19 pandemic, business and consumer behavior towards online consumption and digital payments has changed. This trend, although significant, may be observed, to a varying extent, among customers across the European Union. This study aims to investigate if, and to what extent, the COVID-19 pandemic has had a powerful impact on online consumer behavior in EU (European Union) countries. The empirical research using a soft modeling method supplements theoretical deliberations based on critical literature review. A conceptual model was adopted. Three first-order latent variables were selected for the analysis: "online customer behavior", "online activity" and "willingness to spend online", to which all analyzed indicators (14) were classified. The analysis of the loadings of latent variables for 2019 and 2020 allowed the impact of the pandemic on customer behavior to be observed, although this was not the same across all EU countries. Clustering performed with the hit map enabled the identification of four groups of countries. Significant changes in behavior were observed in countries such as Poland, Ireland, Romania, Hungary, Slovenia, Spain, and Finland. The results of the classification based on the values of three latent variables indicate that only the composition of one group (Bulgaria and Romania) remained unchanged during the study period. Research discussion was presented, and further fields of study were identified.

The 60th World Congress of Statistics, organized by the International Institute of Statistics gathered numerous statisticians and was an opportunity to present the latest plans and achievements in the field of statistics. Extensive problems of the Congress related both to scientific issues, methodological, and practical aspects of statistical offices. A particular interest was the discussion inspired by current issues, including issues relating to quality of life and sustainable development. According to the keynote of the Congress, ie. "Statistical science for a better world", much attention was devoted to reflection on the role of statistics and the challenges of growing informational expectations and possibilities of the use of different data sources. Among the more than 1250 papers presented at the Congress were some presenting Polish experiences concerning, among others cross-border statistics, quality of life and communication with users. It was a great opportunity to promote Polish public statistics among international statisticians — theoreticians and practitioners.

The 59th World Statistics Congress organized by the International Statistical Institute, which is one of the oldest scientific organization in the world, allowed to present achievements of statistics representatives from many countries and in various areas of research, as well as to exchange information on the direction of future activities. The Congress program included scientific sessions, short courses, administrative and satellite meetings which presented not only the achievements of statistics as a scientific discipline, but also its practical applications in many areas of life, and above all, determined the perspective of the development of statistics. During the Congress also the experience of Polish statistics was presented, which was an excellent opportunity to promote the activity of the CSO and the academic community in important areas of international statistics. Much attention was paid to modern organization of censuses, multifaceted use of Big Data as well as the quality of life in its broad sense. The specific challenge for public statistics is also multidimensional nature of cross-border processes. The results of research in these areas are the source of inspiration for the modernization of public statistics, and thus define the direction of its long-term transformation. The Congress program devoted much attention to young statisticians for whom numerous sessions and satellite conferences were organized, primarily in order to create a network for communication and contacts between young statisticians from different statistical organizations around the world.