Call for Book Chapters
"Data Science for Accounting and Finance: Methods and Applications"
Editors: Nguyen Thi Thu Hien (Industrial University of Ho Chi Minh City), Phan Hong Hai (Industrial University of Ho Chi Minh City), Huynh Van Nam (Japan Advanced Institute of Science and Technology)
Introduction
The integration of data science techniques with accounting and finance has led to transformative advancements in decision-making, risk management, and financial analysis. This interdisciplinary synergy offers new perspectives and tools for professionals and researchers in both fields. In light of this, we invite contributions for a book titled "Data Science for Accounting and Finance: Methods and Applications" that aims at exploring the intersection of data science methodologies and applications within the realms of accounting and finance.
Objective
This book aims to provide a comprehensive analysis and overview of how data science techniques, including but not limited to machine learning, data mining, artificial intelligence, big data analytics, and visualization, can be effectively utilized and applied in accounting and finance domains. It seeks to bridge the gap between theory and practice, offering insights into real-world applications, challenges, and future directions in this emerging field.
Topics of Interest
We invite submissions on a wide range of topics related to data science in accounting and finance, including but not limited to:
- Predictive modeling for financial forecasting
- Fraud detection and risk management using data analytics
- Text mining and sentiment analysis in financial markets
- Portfolio optimization and asset allocation strategies
- Machine learning applications in accounting, auditing and compliance
- Quantitative models of information disclosure for Corporate social responsibility (CSR); environment, social and governance (ESG); Sustainability reporting (SR)
- Data analysis for contemporary issues in accounting and auditing
- Financial sentiment analysis using social media data
- Algorithmic trading and quantitative finance
- Big data analytics for financial decision-making
- Visualization techniques for financial data analysis
Submission and Guidelines
- Contributions should be in the Springer’s format of book chapters. More information on manuscript guidelines and templates can be found at: Springer's Manuscript Preparation
- Submission: Please send your manuscript directly to HUYNH Van Nam at huynh@jaist.ac.jp.
Important Dates
- Full Chapter Submission Deadline: October 15, 2024
- Contributions Reviewed Returned to Authors: October 30, 2024
- Final Chapter Submission: November 30, 2024