International Conference on Information Science and Big Data Analytics

ICISBDA

3rd Nov – 4th Nov 2026 Boston, USA

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An official invitation letter will be provided upon successful registration for your participation in the conference.

Benefits of Registering as Listener

Access to All Conference Sessions

Plenary, keynote and parallel sessions

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Connect with global educators & researchers

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Registration Summary

Conference ICISBDA

Date 3rd Nov – 4th Nov 2026

Location Boston, USA

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

Calculated based on 5.8% of the registration fee

Discount USD 0.00

Total Payable USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Advancements in Information Science +

This track focuses on the latest developments in information science, emphasizing theoretical frameworks and practical applications. Participants will explore innovative methodologies that enhance the understanding of information systems.

SDG 4 SDG 9

02 Big Data Analytics in Social Research +

This session highlights the role of big data analytics in social science research, examining case studies and methodologies. Attendees will discuss how large datasets can inform social theories and policy-making.

SDG 1 SDG 10

03 Machine Learning Techniques for Data Discovery +

This track delves into machine learning techniques that facilitate knowledge discovery from vast datasets. Presentations will cover algorithmic advancements and their implications for various fields within the humanities.

SDG 4 SDG 9

04 Artificial Intelligence in Information Systems +

This session explores the integration of artificial intelligence within information systems, focusing on enhancing user experience and system efficiency. Discussions will include AI-driven tools that support information retrieval and management.

SDG 9 SDG 16

05 Data Visualization for Enhanced Understanding +

This track emphasizes the importance of data visualization in conveying complex information clearly and effectively. Participants will examine best practices and innovative tools that aid in the interpretation of big data.

SDG 4 SDG 10

06 Cloud Computing and Data Management +

This session investigates the impact of cloud computing on data management practices in the social sciences. Attendees will discuss scalability, accessibility, and security issues related to cloud-based information systems.

SDG 9 SDG 17

07 Predictive Analytics in Social Sciences +

This track focuses on the application of predictive analytics in social science research, highlighting models that forecast trends and behaviors. Participants will share insights on the ethical implications and accuracy of predictive methods.

SDG 1 SDG 16

08 Ethics and Privacy in Data Science +

This session addresses the ethical considerations and privacy concerns surrounding data science in the social sciences. Discussions will include regulatory frameworks and best practices for responsible data usage.

SDG 16

09 Interdisciplinary Approaches to Information Science +

This track encourages interdisciplinary collaboration in information science, showcasing research that bridges social sciences and technology. Participants will explore how diverse perspectives can enrich data analysis and interpretation.

SDG 4 SDG 17

10 Innovations in Knowledge Discovery +

This session highlights innovative approaches to knowledge discovery, focusing on techniques that extract meaningful insights from unstructured data. Attendees will discuss the implications of these innovations for research and practice.

SDG 9 SDG 10

11 Trends in Data-Driven Decision Making +

This track examines the trends in data-driven decision making within social sciences, emphasizing the role of analytics in shaping policies and practices. Participants will share case studies that illustrate successful implementations of data-informed strategies.

SDG 1 SDG 16