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This book continues the ongoing debate about the need for alternative, interdisciplinary and heterodox approaches to teaching economics at university. It deals with challenges currently faced by economists, pursues an interdisciplinary approach to enhance collaboration with academics from disciplines other than economics, and analyses several questions and issues related to the 2007-08 financial crisis and the current Covid-19 emergency. The Covid pandemic has shown the flaws of the current neoliberal model and the inability of mainstream economic theory to address the problems created by the pandemic. The book engages with an academic audience interested in incorporating a wider range of economic approaches in their research and teaching, and with undergraduate and postgraduate economics students who are trying to understand the limitations of their current economics syllabi. The novelty of the book is the active involvement of undergraduate and postgraduate students who contribute to this volume with three chapters. The book will be of interest to a wide range of researchers, students and teachers interested in interdisciplinary and heterodox economics. Abdullah Yusuf is a Lecturer in International Relations at the University of Dundee, UK. His research interests include issues of International Peacekeeping and the Politics of the United Nations. He is also interested in broader Middle East Politics; ‘War on Terror’; Radical Islamic movements; Religion and International Relations. Carlo J. Morelli is Senior Lecturer in Economics at the University of Dundee, UK, and has published work in economic and business history. His recent work includes studies of economic transformation, the management of decline in the jute industry and the food retailing industry. Omar Feraboli is Lecturer in Economics at the University of Dundee, UK. His main fields of research are international finance and international trade, in particular applied computable general equilibrium (CGE) models and trade policy issues.

Schools of economics. --- Teachers—Training of. --- Econometrics. --- Macroeconomics. --- Education—Economic aspects. --- Heterodox Economics. --- Teaching and Teacher Education. --- Quantitative Economics. --- Macroeconomics and Monetary Economics. --- Education Economics. --- Economics schools of thought --- Schools of economic thought --- Economics --- Economics, Mathematical --- Statistics

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This book presents selected papers of the Euro-Asian Symposium on Economic Theory, held by the Institute of Economics of the Ural Branch of the Russian Academy of Sciences (Ekaterinburg, Russia) on June 29-30, 2022. The conference aims to promote research and develop effective solutions to urgent challenges in economic theory in the context of stability and uncertainty. The main theme of the 2022 Conference is the "Viability of Economic Theories". The chaos of the modern world forces us to rethink many theoretical positions. Researchers are trying to overcome the contradictions between theory and empiricism through new models, mechanisms and approaches. The challenges of recent social change have led to an adjustment in the perception, interpretation, and use of many concepts, necessitating an updating of these terms. The problems and contradictions identified in the studies will help to reconcile theoretical approaches with practice. The volume covers topics such as sustainable development issues, economic shocks in the history of economic thought, modern economic concepts of identity, theory of organizations under uncertainty, review of economic theories with the "Corona crisis," models of consumer behavior, business cycles, theory of investment, issues of economic growth and market equilibrium, impact of social factors on the sustainability of the economy, etc. Moveover, the volume presents new solutions for the synthesis of mainstream and political economy ideas. These topics will be of great interest to academics, researchers and practitioners.

Schools of economics. --- Evolutionary economics. --- Institutional economics. --- Economics—History. --- Economics. --- Heterodox Economics. --- Institutional and Evolutionary Economics. --- History of Economic Thought and Methodology. --- Political Economy and Economic Systems. --- Economic theory --- Political economy --- Social sciences --- Economic man --- Economics --- Economics schools of thought --- Schools of economic thought --- Sociological aspects --- History.

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This book is divided into two parts, the first of which describes AI as we know it today, in particular the Fintech-related applications. In turn, the second part explores AI models in financial markets: both regarding applications that are already available (e.g. the blockchain supply chain, learning through big data, understanding natural language, or the valuation of complex bonds) and more futuristic solutions (e.g. models based on artificial agents that interact by buying and selling stocks within simulated worlds). The effects of the COVID-19 pandemic are starting to show their financial effects: more companies in a liquidity crisis; more unstable debt positions; and more loans from international institutions for states and large companies. At the same time, we are witnessing a growth of AI technologies in all fields, from the production of goods and services, to the management of socio-economic infrastructures: in medicine, communications, education, and security. The question then becomes: could we imagine integrating AI technologies into the financial markets, in order to improve their performance? And not just limited to using AI to improve performance in high-frequency trading or in the study of trends. Could we imagine AI technologies that make financial markets safer, more stable, and more comprehensible? The book explores these questions, pursuing an approach closely linked to real-world applications. The book is intended for three main categories of readers: (1) management-level employees of companies operating in the financial markets, banks, insurance operators, portfolio managers, brokers, risk assessors, investment managers, and debt managers; (2) policymakers and regulators for financial markets, from government technicians to politicians; and (3) readers curious about technology, both for professional and private purposes, as well as those involved in innovation and research in the private and public spheres.

Artificial intelligence. --- Natural language processing (Computer science). --- Financial engineering. --- Machine learning. --- Schools of economics. --- Capital market. --- Artificial Intelligence. --- Natural Language Processing (NLP). --- Financial Technology and Innovation. --- Machine Learning. --- Agent-based Economics. --- Capital Markets. --- Economics schools of thought --- Schools of economic thought --- Economics --- Learning, Machine --- Artificial intelligence --- Machine theory --- Computational finance --- Engineering, Financial --- Finance --- Capital markets --- Market, Capital --- Financial institutions --- Loans --- Money market --- Securities --- Crowding out (Economics) --- Efficient market theory --- NLP (Computer science) --- Electronic data processing --- Human-computer interaction --- Semantic computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Financial applications. --- Data processing