International Conference on Big Data, AI and Information Technology

ICBDAITY

1st Feb – 2nd Feb 2027 Auckland, New Zealand

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Access to All Conference Sessions

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Registration Summary

Conference ICBDAITY

Date 1st Feb – 2nd Feb 2027

Location Auckland, New Zealand

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

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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 Big Data Applications in Social Sciences +

This track explores the transformative role of big data in social science research. It emphasizes innovative methodologies and case studies that leverage large datasets to derive insights into societal trends.

SDG 4 SDG 10 SDG 16

02 Artificial Intelligence in Linguistic Analysis +

This session focuses on the application of AI techniques in the field of linguistics. Participants will discuss how machine learning and natural language processing can enhance linguistic research and language understanding.

SDG 4 SDG 9 SDG 16

03 Data Mining Techniques for Social Research +

This track examines various data mining techniques and their applicability in social research. It aims to highlight successful case studies where data mining has provided significant insights into social phenomena.

SDG 4 SDG 9 SDG 16

04 Cloud Computing for Information Management +

This session addresses the impact of cloud computing on information management within social sciences and humanities. It will cover best practices, challenges, and future directions for utilizing cloud technologies.

SDG 9 SDG 10 SDG 16

05 Predictive Analytics in Social Behavior Studies +

This track investigates the use of predictive analytics to forecast social behaviors and trends. Researchers will share methodologies and findings that demonstrate the effectiveness of predictive models in social science.

SDG 4 SDG 10 SDG 16

06 Deep Learning Approaches in Humanities Research +

This session delves into the application of deep learning techniques in humanities research. It will showcase how advanced neural networks can uncover patterns and insights from complex data sets.

SDG 4 SDG 10 SDG 16

07 Data Visualization for Social Insights +

This track focuses on the importance of data visualization in interpreting social science data. Participants will discuss tools and techniques that enhance the communication of complex information to diverse audiences.

SDG 4 SDG 10 SDG 16

08 The Internet of Things and Social Interaction +

This session explores the implications of the Internet of Things on social interactions and behaviors. Researchers will present findings on how connected devices influence social dynamics and communication.

SDG 4 SDG 10 SDG 16

09 Intelligent Systems in Social Research +

This track examines the integration of intelligent systems in social research methodologies. It aims to highlight innovative applications that enhance data collection and analysis in the social sciences.

SDG 4 SDG 10 SDG 16

10 Smart Applications in Social Services +

This session focuses on the development and implementation of smart applications in social services. Researchers will discuss how technology can improve service delivery and enhance user engagement.

SDG 4 SDG 10 SDG 16

11 High Performance Computing in Data-Driven Research +

This track addresses the role of high performance computing in facilitating data-driven research in social sciences and humanities. It will cover advancements in computational techniques that enable large-scale data analysis.

SDG 4 SDG 10 SDG 16