International Conference on Information Science and Machine Learning
(ICISML-26)

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

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Information Science and Machine Learning (ICISML), scheduled to be held on 26th December 2026 in Pune, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Information 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 – Advancements in Information Science
    This track focuses on the latest developments in information science, emphasizing innovative methodologies and frameworks. Researchers are invited to present their findings on how these advancements impact various domains within social sciences and humanities. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 02 – Machine Learning Applications in Social Sciences
    This session explores the integration of machine learning techniques in social science research. Papers should highlight case studies and applications that demonstrate the effectiveness of these methods in understanding social phenomena. Aligned SDGs: SDG 10 – Reduced Inequalities  |  SDG 16 – Peace, Justice and Strong Institutions
  • Track 03 – Data Mining Techniques for Knowledge Discovery
    This track aims to discuss advanced data mining techniques that facilitate knowledge discovery in humanities research. Contributions should illustrate how these techniques can uncover hidden patterns and insights from complex datasets. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 04 – Artificial Intelligence in Information Systems
    This session examines the role of artificial intelligence in enhancing information systems within the social sciences. Papers should address the implications of AI technologies for data management, retrieval, and analysis. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 16 – Peace, Justice and Strong Institutions
  • Track 05 – Big Data Analytics in Humanities Research
    This track focuses on the utilization of big data analytics to address questions in the humanities. Researchers are encouraged to share their experiences and methodologies in analyzing large datasets to derive meaningful insights. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 06 – Neural Networks for Predictive Modeling
    This session delves into the application of neural networks for predictive modeling in social science contexts. Submissions should demonstrate how these models can forecast trends and behaviors based on historical data. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 16 – Peace, Justice and Strong Institutions
  • Track 07 – Ethical Considerations in Data Science
    This track addresses the ethical implications of data science practices in social research. Papers should discuss frameworks and guidelines for ensuring responsible use of data in the context of social sciences and humanities. Aligned SDGs: SDG 16 – Peace, Justice and Strong Institutions
  • Track 08 – Interdisciplinary Approaches to Information Science
    This session encourages interdisciplinary research that merges information science with other fields within the social sciences and humanities. Contributions should highlight collaborative efforts and the benefits of cross-disciplinary methodologies. Aligned SDGs: SDG 4 – Quality Education  |  SDG 17 – Partnerships for the Goals
  • Track 09 – Innovative Data Visualization Techniques
    This track focuses on the development and application of innovative data visualization techniques in social science research. Researchers are invited to present their work on how effective visualization can enhance data interpretation and communication. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 10 – Challenges in Data Integration and Management
    This session addresses the challenges faced in data integration and management within information systems. Papers should explore strategies for overcoming these challenges to improve data accessibility and usability. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 16 – Peace, Justice and Strong Institutions
  • Track 11 – Future Trends in Information Science and Machine Learning
    This track speculates on future trends and directions in information science and machine learning as they relate to social sciences. Contributions should provide insights into emerging technologies and methodologies that could shape future research. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 17 – Partnerships for the Goals
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 4 SDG 4
    Quality Education
  • SDG 8 SDG 8
    Decent Work and Economic Growth
  • 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