International Conference on Data Analytics, Information Science, and AI
(ICDAISA-26)

15th November 2026 || Chandigarh - India || Hybrid Mode

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Data Analytics, Information Science, and AI (ICDAISA), scheduled to be held on 15th November 2026 in Chandigarh, 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 – Data-Driven Decision Making in Social Sciences
    This track explores the integration of data analytics in social science research, emphasizing methodologies that enhance decision-making processes. Participants will discuss case studies and frameworks that leverage data to inform policy and practice in various social contexts. Aligned SDGs: SDG 4 – Quality Education  |  SDG 10 – Reduced Inequalities
  • Track 02 – Artificial Intelligence in Humanities Research
    This session focuses on the application of artificial intelligence techniques in the humanities, examining how AI can facilitate new insights and interpretations. Scholars will present innovative projects that utilize AI to analyze historical texts, art, and cultural artifacts. Aligned SDGs: SDG 4 – Quality Education  |  SDG 16 – Peace, Justice and Strong Institutions
  • Track 03 – Machine Learning Applications in Social Research
    This track highlights the use of machine learning algorithms in social research, showcasing their potential to uncover patterns and trends in complex datasets. Presentations will cover diverse applications, from survey analysis to social media data mining. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 10 – Reduced Inequalities
  • Track 04 – Big Data and Its Impact on Society
    This session investigates the implications of big data on societal structures and individual behaviors, addressing both opportunities and challenges. Researchers will present findings on how big data analytics can shape public opinion, consumer behavior, and social interactions. Aligned SDGs: SDG 11 – Sustainable Cities and Communities  |  SDG 16 – Peace, Justice and Strong Institutions
  • Track 05 – Knowledge Discovery in Social Networks
    This track delves into the methodologies of knowledge discovery within social networks, focusing on techniques that extract meaningful insights from social media and online interactions. Participants will share research on network analysis, sentiment analysis, and community detection. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 16 – Peace, Justice and Strong Institutions
  • Track 06 – Predictive Analytics in Social Policy
    This session examines the role of predictive analytics in shaping social policy and governance, highlighting tools that forecast social trends and outcomes. Researchers will discuss ethical considerations and the effectiveness of predictive models in real-world applications. Aligned SDGs: SDG 1 – No Poverty  |  SDG 16 – Peace, Justice and Strong Institutions
  • Track 07 – Computational Methods in Information Science
    This track focuses on computational techniques and their applications in information science, emphasizing algorithm development and data processing. Presenters will explore advancements in computational methods that enhance data retrieval, storage, and analysis. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 17 – Partnerships for the Goals
  • Track 08 – Ethics of AI and Data Analytics in Social Research
    This session addresses the ethical implications of using AI and data analytics in social research, focusing on issues of privacy, consent, and bias. Scholars will engage in discussions about best practices and frameworks for ethical research in the digital age. Aligned SDGs: SDG 16 – Peace, Justice and Strong Institutions
  • Track 09 – Interdisciplinary Approaches to Data Science
    This track promotes interdisciplinary collaboration in data science, encouraging participants to share insights from various fields such as sociology, psychology, and cultural studies. Presentations will highlight how diverse perspectives can enrich data analysis and interpretation. Aligned SDGs: SDG 4 – Quality Education  |  SDG 17 – Partnerships for the Goals
  • Track 10 – Information Systems for Social Change
    This session explores the development and implementation of information systems designed to promote social change and community engagement. Researchers will present case studies demonstrating the impact of these systems on social initiatives and public awareness. Aligned SDGs: SDG 1 – No Poverty  |  SDG 10 – Reduced Inequalities
  • Track 11 – Trends in Data Visualization for Social Sciences
    This track focuses on the latest trends in data visualization techniques tailored for social science research, emphasizing clarity and accessibility. Participants will discuss innovative visual tools that enhance the communication of complex data to diverse audiences. 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