Hybrid Conferencee

International Conference on Information Systems and Big Data (ICISBD - 26)

3rd - 4th November 2026 | Washington DC, USA
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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Washington DC. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Washington DC event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Washington DC conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Washington DC, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Washington DC."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 10
SDG 10 Reduced Inequalities
Track 01

Advancements in Information Systems for Social Science Research

This track focuses on the innovative applications of information systems in social science research. It aims to explore how these systems can enhance data collection, analysis, and interpretation in various social contexts.

Track 02

Big Data Analytics in Humanities Studies

This session will examine the role of big data analytics in transforming humanities research. Participants will discuss methodologies and case studies that illustrate the impact of data-driven approaches on traditional humanities disciplines.

Track 03

Machine Learning Techniques for Social Data Insights

This track will delve into machine learning methodologies tailored for analyzing social data. Researchers are invited to present their findings on how these techniques can uncover patterns and trends in social phenomena.

Track 04

Digital Transformation in Social Science Institutions

This session will explore the digital transformation processes within social science institutions. Discussions will focus on the challenges and opportunities presented by adopting new technologies and data-driven practices.

Track 05

Cloud Computing Solutions for Data-Intensive Research

This track will highlight the advantages of cloud computing in facilitating data-intensive research in social sciences and humanities. Presenters will share insights on scalability, accessibility, and collaborative research enabled by cloud technologies.

Track 06

Information Security Challenges in Social Research

This session will address the critical issues of information security in the context of social research. Experts will discuss strategies to protect sensitive data while ensuring compliance with ethical standards.

Track 07

Data Governance Frameworks for Social Science Projects

This track will focus on the importance of data governance in managing research projects within the social sciences. Participants will explore best practices for ensuring data integrity, privacy, and compliance.

Track 08

Knowledge Discovery Techniques in Social Data

This session will investigate various knowledge discovery techniques applicable to social data analysis. Researchers will present innovative approaches to extracting meaningful insights from complex datasets.

Track 09

Ethical Considerations in Big Data Research

This track will examine the ethical implications of using big data in social science research. Discussions will focus on responsible data usage, participant consent, and the potential for bias in data interpretation.

Track 10

Interdisciplinary Approaches to Data Science in Humanities

This session will explore interdisciplinary collaborations that leverage data science techniques in humanities research. Participants will share case studies that highlight the synergy between data science and traditional humanities methodologies.

Track 11

Future Trends in Information Systems for Social Sciences

This track will look ahead to emerging trends in information systems that are likely to shape the future of social science research. Experts will discuss technological advancements and their potential implications for research practices and outcomes.