Project transition to the digital Middle Ages via COVID-19 pattern

The analysis of current trends in the implementation of effective socio-economic solutions and their development under the influence of COVID-19 is made. The prospects of using innovative and telecommunication technologies, robotics, big data processing methods and knowledge management methods in the formation and management of global economic clusters were noted. The clustering of delivery robots under pandemic conditions by methods of machine learning was carried out. The peculiarities of COVID-19 assessment as the main formative factor influencing socio-economic decision-making on a global scale are disclosed. The necessity and possible consequences of adopting and implementing new decisions designed to minimize the negative effects of COVID-19 on Russian and global economies are discussed. It is noted that the design and development of innovations in the system of management and transfer of knowledge is an indispensable condition for the successful development of future socio-economic relations. On the basis of the obtained results conclusions are made about the background of the applied solutions, about the vector of their direction and makes it clear what should be paid special attention to when assessing the current situation in society and determine which solutions are most effective and how the social order should be transformed to successfully withstand the new challenges. © 2023 SPIE.

Gamification of Strategic Thinking: Using a digital Board Game on Steam

This is the third article in a series of articles reflecting on implementing the Commercial Off The Shelf (COTS) Board Game "Scythe" in an educational setting. It reflects on the evolution of a Game-Based Learning (GBL) approach teaching fundamental management methods and training 21st Century Skills. The first iteration of Scythe as the board game platform to train and educate students in OODA-Loop and decision support techniques was planned as a three-day on-premise workshop in February 2020. The kick-off was in November 2019 and was followed by a long self-study preparation phase. It transformed into a fully distributed learning event on short notice due to the advent of COVID-19. The second iteration, from November 2020 to March 2021, was a four-month closely supervised distributed learning experience featuring SWOT-Analysis, Kanban-Board, Scrum and other agile management methods next to the OODA-Loop. These two iterations had one thing in common. The board game Scythe was used as an analogue board game, and a Slack Workspace was used to submit pictures of the physical board game to reflect on the current situation. In the second iteration, Steam licences for the digital version of Scythe (Digital Scythe) were provided to students as a decision support tool. From November 2021 to February 2022, the third iteration implemented Digital Scythe entirely. Therefore, the final tournament and highlight of the learning experience were also fully digital, with new challenges for facilitation. This complete digitalisation also provided unique learning opportunities, particularly concerning 21st-century skills. Overall, this new seminar prototype was a huge success, and the demand for this kind of learning experience looks pretty high. It emphasises virtualisation using the popular gaming platform Steam. This article also applies a framework for distributed wargaming. © 2022 Dechema e.V.. All rights reserved.

An AIoT-Based Environment Control System for Outdoor Barbecue Restaurant in Penghu, Taiwan

This paper proposes an outdoor barbecue restaurant environment control system based on AIoT technology in Penghu, Taiwan, which provides a more convenient restaurant management method for barbecue restaurant service providers and improves the comfort of diners in barbecue restaurants. The proposed system can automatically adjust the temperature and humidity of the restaurant, which uses image processing technology to count the number of diners in the restaurant and set up cameras in the food storage refrigerator to identify whether there are empty plates in time. In response to the COVID-19 epidemic when entering a restaurant, mask identification is carried out using object recognition so that diners who wear masks abnormally can be detected in time, and the virus infection problem can be reduced. All information can be monitored through the proposed IoT monitoring platform. © 2022 IEEE.