International Conference on Social Sciences Analytics with Big Data

ICSSABD

3rd Nov – 4th Nov 2026 Hamburg, Germany

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Registration Summary

Conference ICSSABD

Date 3rd Nov – 4th Nov 2026

Location Hamburg, Germany

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i 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 Predictive Analytics in Social Sciences +

This track focuses on the application of predictive analytics techniques to understand social phenomena. Researchers are invited to present methodologies that leverage big data for forecasting social behavior and trends.

SDG 3 SDG 4

02 Data Integration Techniques for Social Research +

This session explores innovative data integration methods that enhance the quality and comprehensiveness of social science research. Contributions should address challenges and solutions in merging diverse data sources for insightful analysis.

SDG 9

03 Machine Learning Applications in Social Behavior +

This track highlights the use of machine learning algorithms to analyze and interpret social behavior patterns. Papers should demonstrate the effectiveness of these techniques in deriving actionable insights from large social datasets.

SDG 4 SDG 11

04 AI-Driven Innovations in Social Research +

This session examines the role of artificial intelligence in advancing social research methodologies. Submissions should focus on novel AI applications that enhance data analysis, interpretation, and visualization in social sciences.

SDG 9

05 Intelligent Systems for Social Data Analysis +

This track invites discussions on the development and implementation of intelligent systems designed for social data analysis. Contributions should showcase how these systems improve decision-making and policy formulation in social contexts.

SDG 16

06 Data Visualization Techniques for Social Insights +

This session focuses on innovative data visualization techniques that facilitate the understanding of complex social data. Researchers are encouraged to present visual tools that enhance the interpretability of big data findings.

SDG 4 SDG 9

07 Data Mining Strategies in Social Sciences +

This track explores advanced data mining strategies that uncover hidden patterns within social datasets. Papers should highlight the application of these strategies in addressing real-world social issues.

SDG 10

08 System Optimization for Big Data in Social Research +

This session addresses the optimization of systems and processes for managing big data in social research. Contributions should focus on improving efficiency and effectiveness in data handling and analysis.

SDG 9

09 Data Governance in Social Analytics +

This track examines the frameworks and policies surrounding data governance in the context of social analytics. Papers should discuss best practices for ensuring data integrity, privacy, and ethical considerations.

SDG 16

10 Social Behavior Analytics and Its Implications +

This session focuses on the analytics of social behavior and its implications for various sectors. Researchers are invited to present studies that link behavioral insights to actionable strategies in social policy and business.

SDG 10 SDG 16

11 Computational Social Science: Trends and Innovations +

This track highlights the latest trends and innovations in computational social science. Contributions should explore how computational methods are transforming the landscape of social research and analysis.

SDG 4 SDG 9