Designing for the Embedding of Employee Voice

Previous research on employee voice has sought to design technological solutions that address the challenges of speaking up in the workplace. However, effectively embedding employee voice systems in organisations requires designers to engage with the social processes, power relations and contextual factors of individual workplaces. We explore this process within a university workplace through a research project responding to a crisis in educational service delivery arising from the COVID-19 pandemic. Within a successful three-month staff-led engagement, we examined the intricacies of embedding employee voice, exploring how the interactions between existing actors impacted the effectiveness of the process. We sought to identify specific actions to promote employee voice and overcome barriers to its successful establishment in organisational decision-making. We highlight design considerations for an effective employee voice system that facilitates embedding employee voice, including assurance, bounded accountability and bias reflexivity. © 2023 ACM.

Society in Front of a COVID-19 Pandemic: India Versus Ukraine

The article deals with the problem of personal reaction to the danger of COVID-19 virus infection and its influence on social processes. Based on the results, the survey proposes the answers to the central questions of public health services development: what is the correlation between the trust of citizens in a national healthcare system, the government's decision, and the effectiveness of lockdown measures taken to stop the coronavirus spreading with reference of Ukraine and India. This research analyses focus on personal and social attitude towards the immediate danger and the ways how different cultural environments react to the new factors of development and risk in general. It proves that personal and social responsibility is directly connected with a level of trust in the national healthcare system and government decisions. Indian and Ukrainian societies before a face of equal danger and experiencing similar personal emotions show the different social behaviour due to the opposite attitude to national healthcare policy and different social and personal evaluations of the government response. The comparison of the answers of Indian and Ukrainian respondents showed a higher level of passive social reaction and obedience in the Indian group and the lower level of obedience and a higher level of active-controlled and uncontrolled reaction in the Ukrainian group. The research paper proposes some conclusions and recommendations about effective social management of personal and public healthcare challenges. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Data Management in EpiGraph COVID-19 Epidemic Simulator

The transmission of COVID-19 through a population depends on many factors which model, incorporate, and integrate many heterogeneous data sources. The work we describe in this paper focuses on the data management aspect of EpiGraph, a scalable agent-based virus-propagation simulator. We describe the data acquisition and pre-processing tasks that are necessary to map the data to the different models implemented in EpiGraph in a way that is efficient and comprehensible. We also report on post-processing, analysis, and visualization of the outputs, tasks that are fundamental to make the simulation results useful for the final users. Our simulator captures complex interactions between social processes, virus characteristics, travel patterns, climate, vaccination, and non-pharmaceutical interventions. We end by demonstrating the entire pipeline with one evaluation for Spain for the third COVID wave starting on December 27th of 2020. © 2022, Springer Nature Switzerland AG.

Toward Reference Architecture of Control System Socio-Epidemic Processes of Emergent Infections

The pandemic of COVID-19 showed the humanity is vulnerable to threats of epidemic emergent infections. Hence, the challenge of creating a safety system of the population from these threats at territory, national and international levels. The challenge poses a problem in the area of ICT consisting of that developing principles and techniques for engineering flexible decision-making systems. The paper presents a vision of an approach to solving the problem

The concept of decisions support system to mitigate the COVID-19 pandemic consequences based on social and epidemic processes intelligent analysis

The study is aimed at interdisciplinary analysis of social barriers and barriers to overcoming the consequences of epidemics and the development of programs for sociological support of anti-epidemic measures in the context of the COVID-19 pandemic. The goal is to solve the problem of increasing the biosafety of the population as a component of national security through the formation of directions and tools for preparatory work with the public conscience with use of social attitude investigation to ensure the effectiveness of vaccination and minimize the negative non-medical consequences of various measures to combat the COVID-19 pandemic. The concept of comprehensive methodology for analyzing the crisis behavior of the masses with a combination of sociological and mathematical methods has been developed. It is planned to obtain scientifically substantiated information on the social factors of the spread of the virus, the social effects of a sense of hopelessness, social barriers to vaccination and the role of social networks in these processes;a practical task for the project is the development of models of crisis mass behavior and a system of targeted measures for managing the social atmosphere during a prolonged pandemic with uncertain prospects for an exit. It is expected to receive a concept of sociological support for pandemic measures to determine the optimal strategies of media, information and educational and socio-political influence on the state of mass consciousness in the context of the COVID-19 pandemic. © 2021 CEUR-WS. All rights reserved.