All Session Tracks

• Track 01 – Data-Driven Decision Making in Social Sciences
  This track focuses on the application of data analytics in social science research, emphasizing how data-driven approaches can enhance decision-making processes. Participants will explore case studies and methodologies that illustrate the integration of data science in social research. Aligned SDGs: SDG 4 – Quality Education  |  SDG 10 – Reduced Inequalities
• Track 02 – Artificial Intelligence in Humanities Research
  This session examines the role of artificial intelligence in transforming humanities research, including text analysis and digital archiving. Scholars will discuss innovative AI applications that facilitate new insights and interpretations in the humanities. Aligned SDGs: SDG 4 – Quality Education  |  SDG 11 – Sustainable Cities and Communities
• Track 03 – Big Data and Social Change
  This track investigates the impact of big data on social change, exploring how large datasets can inform policy-making and societal trends. Researchers will present findings on the intersection of big data analytics and social issues. Aligned SDGs: SDG 1 – No Poverty  |  SDG 10 – Reduced Inequalities
• Track 04 – Machine Learning Techniques for Information Systems
  This session delves into machine learning methodologies applied within information systems, highlighting their effectiveness in enhancing data management and retrieval. Participants will share research on algorithm development and system optimization. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure
• Track 05 – Deep Learning Applications in Social Research
  This track focuses on the utilization of deep learning techniques in social research, showcasing their potential for analyzing complex datasets. Presenters will discuss innovative applications and the implications of deep learning in understanding social phenomena. Aligned SDGs: SDG 1 – No Poverty  |  SDG 10 – Reduced Inequalities
• Track 06 – Knowledge Discovery in Digital Humanities
  This session explores knowledge discovery processes within the digital humanities, emphasizing the extraction of meaningful insights from digital data sources. Researchers will present methodologies and tools that facilitate knowledge generation in this field. Aligned SDGs: SDG 4 – Quality Education  |  SDG 11 – Sustainable Cities and Communities
• Track 07 – Data Analytics for Cultural Heritage Preservation
  This track highlights the role of data analytics in the preservation and promotion of cultural heritage. Participants will discuss case studies that demonstrate how data-driven approaches can enhance cultural understanding and conservation efforts. Aligned SDGs: SDG 11 – Sustainable Cities and Communities
• Track 08 – Digital Transformation in Social Institutions
  This session examines the digital transformation of social institutions and its implications for service delivery and community engagement. Researchers will present findings on how information technology reshapes social structures and interactions. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 10 – Reduced Inequalities
• Track 09 – Ethical Considerations in Data Science and AI
  This track addresses the ethical challenges associated with data science and artificial intelligence in social contexts. Participants will engage in discussions about responsible data use, privacy concerns, and the societal impact of AI technologies. Aligned SDGs: SDG 16 – Peace, Justice and Strong Institutions
• Track 10 – Interdisciplinary Approaches to Information Science
  This session promotes interdisciplinary collaboration in information science, encouraging dialogue between data scientists, social scientists, and humanists. Presenters will share research that bridges these fields to advance understanding and innovation. Aligned SDGs: SDG 17 – Partnerships for the Goals
• Track 11 – Future Trends in Data Science for Social Good
  This track explores emerging trends in data science that aim to address social issues and promote the common good. Researchers will discuss innovative projects and future directions that harness data science for positive societal impact. Aligned SDGs: SDG 1 – No Poverty  |  SDG 10 – Reduced Inequalities

Alignment with the Sustainable Development Goals
Alongside its academic focus, the conference promotes responsible research, ethical practice and knowledge-driven development. Its session tracks collectively contribute to the following United Nations Sustainable Development Goals.

• SDG 1
  No Poverty
• SDG 4
  Quality Education
• SDG 9
  Industry, Innovation and Infrastructure
• SDG 10
  Reduced Inequalities
• SDG 11
  Sustainable Cities and Communities
• SDG 16
  Peace, Justice and Strong Institutions
• SDG 17
  Partnerships for the Goals