Call for Book Chapters

for the Edited Volume on the Topic

Reimagining Data Science through Indigenous Knowledge Systems of India

The book Reimagining Data Science through Indigenous Knowledge Systems of India explores the intersections between contemporary data science and indigenous, ancient, and traditional forms of knowledge of India. It challenges dominant paradigms of data collection, analysis, and interpretation by introducing alternative frameworks rooted in classical epistemologies.

Bharati Krishna Tirtha (1965) extensively documented Vedic mathematical techniques, many of which have influenced modern approaches to computation. In 1927, P.K. Acharya examined Panini’s Ashtadhyayi and its applicability to formal language theory and program design. Kak (2000) provided an overview of ancient Indian computational methods, highlighting their impact on artificial intelligence and cybersecurity. Similarly, Alasubramanian (1995) discussed the relevance of Nyaya logic in developing expert systems and AI-driven reasoning models. Together, this body of scholarship demonstrates innovative approaches to data-driven decision-making, ethics, and sustainability by bridging cutting-edge computational technologies with time-tested wisdom.

The book aims to:

• Investigate how ancient knowledge systems—such as indigenous data sovereignty, Ayurvedic classification, Pingala’s Binary System, Jyotisha (Vedic Astrology and Astronomy), and Samkhya’s Theory of Causality—can contribute to and transform the field of data science.

• Present case studies showing how traditional knowledge has enhanced machine learning, predictive modelling, and data governance.

• Promote ethical and decolonial approaches to artificial intelligence and big data that emphasise community stewardship and ecological balance.

• Demonstrate how data analytics can uncover hidden patterns within traditional knowledge, such as correlations in Ayurvedic treatments, agricultural cycles, or astronomical observations documented in Vedic texts.

Submission Guidelines

• Prospective authors are invited to submit original, unpublished chapters of up to 10,000 words (including references and figures) in the single-column format.
• All papers must be original and not simultaneously submitted to another edited book.
• Each submission will undergo a rigorous peer-review process to ensure the quality and relevance of the content.

Committees

EDITORS

• Dr Kavita Sahu, Assistant Professor, Department of Computer Science & Applications, Dr Harisingh Gour Vishwavidyalaya, Sagar, MP
• Dr Abhishek Bansal, Associate Professor, Department of Computer Science & Applications, Dr Harisingh Gour Vishwavidyalaya, Sagar, MP
• Dr Pawan Singh, Associate Professor, Department of Computer Science, Central University of Haryana, Haryana

Publication

RDSIKS2025 book chapters will be published in the edited book titled Reimaging Data Science through Indigenous knowledge systems  by https://benthambooks.com

All references in the book chapter should be IEEE format.

Article Processing Charges:  Free of charge for processing and publishing.

Inquiries: For further inquiries or clarifications, please get in touch with the editors at editor_rds@zohomail.in

We look forward to receiving your contributions and to the collaborative exploration of data science research focused on the indigenous knowledge system.

Contact

All questions about submissions should be emailed to editor_rds@zohomail.in