EAI International Conference on Responsible Artificial Intelligence and Data Science 2024 will include 06 special sessions. These sessions focus on the widely applied and important areas of AI, all chaired by renowned and outstanding scientists in the field.
Special session of EAI RAIDS 2024
Data Science in Finance
chaired by Dr. Luu Duc Toan HUYNH
Queen Mary University of London, London, UK.
(Source: Freepik)
The concept of alternative data has recently gained prominence, referring to non-conventional information that offers insights into the performance of companies or financial markets, supplementing traditional data sources such as company reports and analyst predictions. This data comes from various sources, including sensors, mobile devices, satellites, and the internet, and is rapidly increasing in both volume and variety, presenting significant opportunities for valuable research. Advancements in data science have introduced both opportunities and challenges for integrating alternative data into finance. Recent research has focused on developing and utilizing unstructured data, such as texts and images, which provide rich insights that traditional financial indicators often miss. These data sources are significantly more abundant, appearing on websites, reports, and news about firms and industries. The use of alternative data is expected to expand in empirical finance research, driven by the advancement of statistical methods and increased data availability. Alternative data supports empirical finance in numerous ways. Social media, which records investor interactions as texts, offers crucial behavioral insights for market efficiency and asset pricing. Textual analysis of corporate annual reports helps investors adjust their expectations regarding firm valuations and performance. Markets can quantify government policy uncertainty and geopolitical risk. Images depicting economic activities and price movements offer new tools for financial risk analysis and management. Satellite and thermal detection images provide extensive temperature and climate data essential for climate finance.
This special section will bring together researchers and practitioners to discuss and explore the most promising Responsible AI and DS applications for DSS in finance.
Chairman of the session:
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Dr. Luu Duc Toan HUYNH
Queen Mary University of London, London, UK
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Submission Deadline:
September 15, 2024
Conference date
October 22-23, 2024
Venue
Dong A University, Danang, Vietnam
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📧 Contact information:
Email: ly.dao@eai.eu
- International Research Institute for Artificial Intelligence and Data Science
Email: iad@donga.edu.vn