Hybrid Conferencee

International Conference on Information Science and Data Mining (ICISDM - 26)

23rd - 24th October 2026 | Berlin, Germany

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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 Berlin. 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 Berlin 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 Berlin conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Berlin, 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 Berlin."
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 1
SDG 1 No Poverty
SDG 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
Track 01

Advancements in Information Science

This track focuses on the latest methodologies and frameworks in information science. It aims to explore how emerging technologies are reshaping the landscape of information management and retrieval.

Track 02

Data Mining Techniques in Social Research

This session will delve into innovative data mining techniques applied within social science research. Participants will discuss case studies that highlight the effectiveness of these methods in uncovering social patterns.

Track 03

Knowledge Discovery in Humanities

This track examines the intersection of knowledge discovery and the humanities. It will showcase how data analytics can enhance our understanding of cultural and historical phenomena.

Track 04

Big Data Analytics for Social Insights

This session focuses on the application of big data analytics to derive insights relevant to social science. Researchers will present findings that illustrate the potential of big data in informing public policy and societal trends.

Track 05

Machine Learning Applications in Information Systems

This track explores the integration of machine learning techniques within information systems. Discussions will center on practical applications and the implications for system efficiency and user experience.

Track 06

Artificial Intelligence in Data-Driven Decision Making

This session highlights the role of artificial intelligence in enhancing decision-making processes through data-driven insights. Participants will examine case studies that demonstrate AI's impact on various sectors.

Track 07

Computational Methods for Social Data Analysis

This track focuses on computational methods used for analyzing social data. It aims to present innovative approaches that facilitate deeper understanding of social dynamics and behaviors.

Track 08

Predictive Modeling in Social Sciences

This session will explore the use of predictive modeling techniques in social sciences. Researchers will discuss how these models can forecast trends and inform strategic planning.

Track 09

Ethics and Challenges in Data Mining

This track addresses the ethical considerations and challenges associated with data mining in social research. It will foster discussions on best practices and regulatory frameworks.

Track 10

Interdisciplinary Approaches to Information Science

This session emphasizes the importance of interdisciplinary collaboration in advancing information science. Participants will share insights on how diverse fields contribute to innovative solutions.

Track 11

Future Directions in Information Science and Data Mining

This track aims to identify emerging trends and future directions in information science and data mining. It will encourage forward-thinking discussions on the potential evolution of these fields.