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The International Conferences on Economics and Social Sciences (ICESS) organized by Bucharest University of Economic Studies provide an opportunity for all those interested in Economics and Social Sciences to discuss and exchange research ideas. The papers presented at the Conference are available online in the Conference Proceedings series (ISSN 2704-6524): Volume 2019 Collaborative Research for Excellence in Economics and Social Sciences, ISBN 9788366675322 Volume 2020 Innovative Models to Revive the Global Economy, ISBN 9788395815072 Volume 2021 Resilience and Economic Intelligence Through Digitalization and Big Data Analytics, ISBN 9788366675704 The past years' uncertainties and pressures resulted from the pandemic, alongside new developments in social technology, 5G, cloud computing, augmented and virtual reality, generated the perfect setting for the metaverse to gain traction. Several companies found there's a critical need to redefine the work environment and started exploring the metaverse concept beyond the entertainment sector. Thus, new tools for collaboration and data visualization within a digital shared space are being created, aiming for a fully immersive interaction between the virtual and the physical worlds within the next few years. While still in its early developments, the metaverse can be seen as an extension of the social media platforms, and an opportunity to leverage remote work even further. ICESS 2022 provides a space for all those interested in Economics and Social Sciences to discuss and exchange research ideas in the light of the work environment, business model, and technological changes driven by COVID-19. We welcome both empirical and theoretical work that is broadly consistent with the conference's general theme. The main topics of the conference are focused on, but not limited to, the following sections: Applied Economics and Statistics and Data Science Management in the Metaverse Era – the Role of Digital Transformation in Fostering Recovery of Public and Private Organizations Financial perspectives in turbulent times Resilient Agri-food and Environmental Systems for Sustainable Development and Agile Entrepreneurship Innovative Strategies and Models in Higher Education Digitalization impact on economic recovery in the context of Covid-19 pandemic Digital Leadership and Resilient Entrepreneurship in the Metaverse Era Marketing and Sustainability The role of accounting frameworks and digitalization in fostering recovery Global world after crisis: towards a new economic model Building business in times of crisis through entrepreneurship Current challenges within demographic data: measurement, collection, retrieval, analysis and reporting Looking into the future of a legal metaverse? Experimental Economics SCIENTIFIC COMMITTEE 2022 ACELEANU Mirela, Bucharest University of Economic Studies, Romania ALBU Lucian, Academia Romana, Romania ANGHEL Ion, Bucharest University of Economic Studies, Romania ARROYO GALLARDO Javier, Complutense University of Madrid, Spain AUSLOOS Marcel, Leicester University, United Kingdom BEGALLI Diego

Graphical representation of the dynamic interactions among the elements of a system has found wide application in business, government, & the "system sciences." Although system representation is now ad hoc, it may be possible to develop a standard theoretical presentation in terms of the interaction & feedback of biological, biosocial, cultural, & situational determinants of behavior. The resulting framework must, of course, be modified for each problem addressed, yet the framework forces the analysis to be dynamic as well as static, to avoid overemphasis on factors of interest to a particular investigator, & to show more precisely the effect of adopting alternative social theories. Examining the applicability of this proposed framework to a variety of problems suggests that this approach will assist in the transfer of information between applied & theoretical studies & in the cumulation of social science knowledge. 1 Table, 8 Figures. AA.

'Social-science research has been transformed over the last generation by the advent and expansion of the general social surveys (GSS). The GSS model of research has created a infrastructure for the social sciences designed to address the interests and research agenda of scholars and their students; cover a wide range of topics; utilize reliable, valid, and generalizable measurement; and provide data both across nations and across time. This design in turn has generated widespread analysis and notably contributed to our understanding of social processes and societal change.' (author's abstract)|

Contesting the putative 'even-handedness' of many introductory social science texts, this innovative book presents strong and provocative arguments on contemporary social issues that will stimulate readers to think critically. The principal theme of the book is that social science is at its best, and most exciting, when it confronts and refutes 'cultures of prejudice'--intricate systems of beliefs and attitudes that sustain many forms of social oppression and that are, themselves, sustained by ignorance and fear of the unknown and the unfamiliar. Such a critical social science, it is argued, can make an important contribution to promoting human freedom and extending human capacities. Discussions range from the personal to the political, the national to the global, encompassing social policy analysis (law, health, and welfare), the status of women, and animal liberation, as well as nationalism, racism, political ideology, the global economy, and terrorism. This passionately argued book is an excellent supplementary text for undergraduate social science students, as well as a stimulating read for all those open to hard-hitting confrontations with conventional wisdom

"Realism and Complexity in Social Science is an argument for a new approach to investigating the social world, that of complex realism. Complex realism brings together a number of strands of thought, in scientific realism, complexity science, probability theory and social research methodology. It proposes that the reality of the social world is that it is probabilistic, yet there exists enough invariance to make the discovery and explanation of social objects and causal mechanisms possible. This forms the basis for the development of a complex realist foundation for social research, that utilises a number of new and novel approaches to investigation, alongside the more traditional corpus of quantitative and qualitative methods. Research examples are drawn from research in sociology, epidemiology, criminology, social policy and human geography. The book assumes no prior knowledge of realism, probability or complexity and in the early chapters, the reader is introduced to these concepts and the arguments against them. Although the book is grounded in philosophical reasoning, this is in a direct and accessible style that will appeal both to social researchers with a methodological interest and philosophers with an interest in social investigation"--

Social scientists have long been concerned with inequality, yet the focus has often been on its theoretical and political aspects. This is now starting to change, writes Mike Savage. Thanks to research interventions by scholars, together with attempts to institutionalise cross-disciplinary work, the focus is shifting from normative debates and towards the more technical, empirical and historical problems of inequality.