International Conference on Big Data and Digital Humanities Research
(ICBDDHR-26)

26th December 2026 || Lucknow - India || Hybrid Mode

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Big Data and Digital Humanities Research (ICBDDHR), scheduled to be held on 26th December 2026 in Lucknow, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Data Science.

Each track offers researchers, academicians, industry professionals and practitioners a platform to present their work, exchange ideas and explore the advancements shaping the future of the domain. Every track is curated to encourage knowledge sharing, collaboration and meaningful discussion.

All Session Tracks
  • Track 01 – Innovations in Data Mining Techniques
    This track focuses on the latest advancements in data mining methodologies applicable to social sciences and humanities. Researchers are invited to present novel algorithms and frameworks that enhance data extraction and analysis. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 02 – Natural Language Processing in Humanities Research
    This session explores the application of natural language processing tools in analyzing textual data from humanities disciplines. Contributions may include case studies, theoretical frameworks, and practical implementations. Aligned SDGs: SDG 4 – Quality Education  |  SDG 16 – Peace, Justice and Strong Institutions
  • Track 03 – Machine Learning Applications in Social Sciences
    This track examines the integration of machine learning techniques in social science research. Papers should highlight innovative applications that address complex social phenomena through data-driven insights. Aligned SDGs: SDG 1 – No Poverty  |  SDG 10 – Reduced Inequalities
  • Track 04 – Big Data Analytics in Digital Humanities
    This session invites discussions on the role of big data analytics in transforming digital humanities research. Participants will explore case studies that demonstrate the impact of large-scale data analysis on cultural and historical studies. Aligned SDGs: SDG 4 – Quality Education  |  SDG 11 – Sustainable Cities and Communities
  • Track 05 – Pattern Recognition in Social Networks
    This track delves into the methodologies of pattern recognition within social network data. Researchers are encouraged to present findings that reveal underlying structures and behaviors in social interactions. Aligned SDGs: SDG 10 – Reduced Inequalities  |  SDG 16 – Peace, Justice and Strong Institutions
  • Track 06 – Computational Methods for Humanities Research
    This session focuses on the development and application of computational methods tailored for humanities research. Contributions may include algorithmic approaches, software tools, and interdisciplinary collaborations. Aligned SDGs: SDG 4 – Quality Education  |  SDG 16 – Peace, Justice and Strong Institutions
  • Track 07 – Data Visualization Techniques for Social Sciences
    This track emphasizes the importance of data visualization in conveying complex information in social sciences. Presentations should demonstrate innovative visualization techniques that enhance understanding and interpretation of data. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 08 – Ethics and Challenges in Data Science
    This session addresses the ethical considerations and challenges faced in data science applications within social sciences and humanities. Discussions will focus on data privacy, bias, and the implications of algorithmic decision-making. Aligned SDGs: SDG 16 – Peace, Justice and Strong Institutions
  • Track 09 – Network Analysis in Cultural Studies
    This track explores the application of network analysis techniques in cultural studies and humanities research. Papers should present findings that illustrate the interconnectedness of cultural artifacts and social dynamics. Aligned SDGs: SDG 4 – Quality Education  |  SDG 16 – Peace, Justice and Strong Institutions
  • Track 10 – Interdisciplinary Approaches to Data Science
    This session encourages interdisciplinary collaborations that leverage data science methodologies across various fields. Researchers are invited to share insights on how diverse disciplines can inform and enhance data-driven research. Aligned SDGs: SDG 17 – Partnerships for the Goals
  • Track 11 – Future Directions in Data-Driven Humanities
    This track looks forward to emerging trends and future directions in data-driven research within the humanities. Participants are encouraged to speculate on the evolving role of technology and data in shaping humanistic inquiry. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
Alignment with the Sustainable Development Goals
Alongside its academic focus, the conference promotes responsible research, ethical practice and knowledge-driven development. Its session tracks collectively contribute to the following United Nations Sustainable Development Goals.
  • SDG 1 SDG 1
    No Poverty
  • SDG 4 SDG 4
    Quality Education
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure
  • SDG 10 SDG 10
    Reduced Inequalities
  • SDG 11 SDG 11
    Sustainable Cities and Communities
  • SDG 16 SDG 16
    Peace, Justice and Strong Institutions
  • SDG 17 SDG 17
    Partnerships for the Goals

Need Assistance?

If you need any clarification on the session tracks or support with your submission, please feel free to reach out to us:

Email: [email protected]

Phone: +91 9677007228