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Home»Finance»Applications of AI and Machine Learning in Finance and Economics
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Applications of AI and Machine Learning in Finance and Economics

September 26, 2024No Comments
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This Research Topic is in collaboration with the Women in FinTech and AI 2024 conference. Extended versions of work presented at the conference are welcome.

In today’s rapidly evolving economic landscape, the integration of artificial intelligence (AI) in finance and economics has become paramount. AI, fueled by unprecedented computational power and sophisticated algorithms, has the potential to revolutionize decision-making processes, risk management, and predictive analytics within the financial sector. Its adaptive capabilities and data-driven insights contribute to more informed strategies, driving efficiency and innovation.

Moreover, the era of big data has ushered in a new paradigm, where vast and diverse datasets serve as a cornerstone for informed decision-making. The intersection of big data and finance allows for a granular understanding of market dynamics, customer behavior, and economic trends. Harnessing the power of big data, alongside AI, not only empowers financial institutions to navigate complexities but also lays the foundation for sustainable and resilient financial systems in an interconnected global economy.

We invite researchers and professionals to contribute to a special issue of Frontiers in Artificial Intelligence dedicated to the intersection of artificial intelligence and economics and finance. This special issue aims to explore cutting-edge advancements in various areas, including but not limited to Big Data applied to finance, natural language processing in economics, digital finance and sustainability, AI for financial markets, and blockchain applications.

We welcome submissions on a wide range of topics, including:

• Big Data applications in finance and economics

• Natural language processing in economic and financial contexts

• Digital finance and its implications for sustainability

• Artificial intelligence in financial markets

• Blockchain applications in finance

• Artificial intelligence for peer-to-peer finance

• Network analysis in finance

• Artificial intelligence in Green Finance and Climate Change

• Behavioral finance


Keywords:
Big Data, Finance, Economics


Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

This Research Topic is in collaboration with the Women in FinTech and AI 2024 conference. Extended versions of work presented at the conference are welcome.

In today’s rapidly evolving economic landscape, the integration of artificial intelligence (AI) in finance and economics has become paramount. AI, fueled by unprecedented computational power and sophisticated algorithms, has the potential to revolutionize decision-making processes, risk management, and predictive analytics within the financial sector. Its adaptive capabilities and data-driven insights contribute to more informed strategies, driving efficiency and innovation.

Moreover, the era of big data has ushered in a new paradigm, where vast and diverse datasets serve as a cornerstone for informed decision-making. The intersection of big data and finance allows for a granular understanding of market dynamics, customer behavior, and economic trends. Harnessing the power of big data, alongside AI, not only empowers financial institutions to navigate complexities but also lays the foundation for sustainable and resilient financial systems in an interconnected global economy.

We invite researchers and professionals to contribute to a special issue of Frontiers in Artificial Intelligence dedicated to the intersection of artificial intelligence and economics and finance. This special issue aims to explore cutting-edge advancements in various areas, including but not limited to Big Data applied to finance, natural language processing in economics, digital finance and sustainability, AI for financial markets, and blockchain applications.

We welcome submissions on a wide range of topics, including:

• Big Data applications in finance and economics

• Natural language processing in economic and financial contexts

• Digital finance and its implications for sustainability

• Artificial intelligence in financial markets

• Blockchain applications in finance

• Artificial intelligence for peer-to-peer finance

• Network analysis in finance

• Artificial intelligence in Green Finance and Climate Change

• Behavioral finance


Keywords:
Big Data, Finance, Economics


Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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