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This repository contains data on COVID-19 epidemics in the Russian Federation from 2020-01-31 through 2023-05-15. The dataset is based on a range of sources. The very first cases were collected from the news reports. Since 2020-03-05 the data were manually extracted from the official reports published by Rospotrebnadzor (Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing / Russia) at its own website. From 2020-04-09 on, Rospotrebnadzor reports were available in machine-readable formats (a regular HTML table and then, from 2020-04-29, as a JSON string) at the "Стопкоронавирус.рф" (Stopkoronavirus) web portal on a daily basis through 2023-05-15, when the reporting scheme was changed from daily to weekly reports. For all days, the data contain numbers for confirmed COVID-19 cases, recovered from COVID-19, and COVID-19-associated deaths by regions. From 2021-10-17 on, it also contains numbers of vaccinated against COVID-19, and, from 2022-01-25 on, of the COVID-19-associated hospitalizations. The scripts needed to load the data into the R environment and to produce derived statistics and infographics as well as examples of infographics and an extended assessment of the data quality are also provided.

The 11th sustainable development goal highlights the importance of making our cities more inclusive. For that, planning processes should become more engaging and empower citizens to actively participate in designing their environments. However, the COVID-19 crisis exposed inequalities and posed challenges to communal activities due to restrictions on face-to-face activities. These constraints brought many researchers and practitioners to rethink the process of co-designing workshops, putting digitalization in the spotlight. The present study consists of a systematic literature review focusing on understanding how digital technologies affect participatory approaches in urban design and how they have evolved since the 1990s. Also, it investigates the correlation between levels of participation and interaction in different types of collaborative design workshops held in communities. We found that many authors have been developing new methodologies and digital tools aiming to digitalize the co-designing experience through mediation. However, there is no evolutionary evidence of tools in the field creating bridges between digitalization, participation, and interaction. We argue that a research agenda is required to produce more sophisticated tools to tackle social barriers and support inclusive design towards sustainable urban development patterns.

Il patrimonio culturale rappresenta un settore strategico per lo sviluppo della società, dell'economia e del lavoro. Una dimensione essenziale della gestione e della fruizione del patrimonio culturale è il processo della sua digitalizzazione. Accanto al patrimonio culturale esiste ormai un patrimonio culturale digitale che ne garantisce la conservazione, la diffusione e la valorizzazione. Le nuove tecno-logie hanno trasformato l'organizzazione di musei, gallerie, siti d'arte e siti archeologici. Queste stesse tecnologie hanno consentito la diffusione e l'operabilità a livello internazionale di infrastrutture digitali di informazione e ricerca. La digitalizzazione ha consentito ai luoghi della cultura di sperimentare nuovi legami, con i territori e con i cittadini, già dall'inizio degli anni 2000 e soprattutto a seguito del lockdown imposto dalla pandemia da Covid 19. Le tante attività di digitalizzazione volte a valorizzare i beni culturali richiedono sia co-noscenze umanistiche che scientifiche. Da un lato, esse implicano la creazione di realtà virtuali e modellizzazioni per una diversa e più profonda conoscenza, dall'altro lato, richiedono l'uso dell'intelligenza artificiale e dei big data per ricostruire il passato delle culture o per conoscere i flussi turistici nei siti d'arte. Anche le professioni, le competenze ed i percorsi formativi legati alla digitalizzazione dei beni culturali nascono dalle interazioni tra sistemi fisici e sistemi virtuali, da conoscenze ed esperienze di diversa natura.

This repo was created to keep records of the COVID-19 epidemics in St. Petersburg, Russia. The datasets are based on a range of sources: the official reports published by Rospotrebnadzor (Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing / Russia), Rosstat (Federal State Statistics Service / Russia), and local authorities (St. Petersburg government, Interdepartmental City Council for Prevention of the Spread of a New Coronavirus Infection (COVID-19) in St. Petersburg), and open data resulted from an original research by Yandex N.V.

This data collection offers representative polls of the Ukrainian population in the early summer of 2019, 2020 and 2021 related to health issues and the functioning of the public healthcare system (including the COVID-19 pandemic). The polls were organised by the Ilko Kucheriv Democratic Initiatives Foundation (DIF) and conducted by the Razumkov Centre. <br>The polls were conducted as omnibus surveys. This data collection contains only those questions which are related to healthcare plus basic questions related to socio-demographic and political indicators. The relevant questions of each poll are reproduced in the original Ukrainian wording in the "Documentation of Data Collection". The SPSS files and the Excel files with the raw data contain the English translation on the variables sheet.

The Levada Center has been conducting omnibus surveys of the Russian population on a regular basis. This data collection includes questions related to the COVID-19 pandemic and related health measures (plus socio-demographic and political data) from 17 opinion polls conducted from February 2020 to February 2022.<br><br>The documentation of data collection documents the questions included in the dataset and provides information about the random-sample questionnaire-based nationally representative polls conducted as omnibus surveys. The original data file is in Russian, but the documentation file lists all questions and answer options with an English translation.<br><br>Included in this data collection are the relevant questions from the Levada omnibus surveys copied into one file. The SPSS file (.sav) is the original file provided by the Levada Center. It has been exported into an Excel file. The content of the respective xlsx-file should be identical with the original sav-file.