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ICDSIS · Registering as Listener

International Conference on Data Science and Information Systems

23 - 24 Mar 2027 Barcelona, Spain Standard / Physical Participation
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$125
virtual · $155 in person
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Registration summary

ConferenceICDSIS
ModeStandard / Physical
ParticipationListener
Registration fee$155.00
Bank charges (5.8%)$8.99
Total payable$163.99
Includes all bank processing charges — the amount above is exactly what will be charged.

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• Conference Session Tracks •
SDGs
SDG-Aligned Research Themes

ICDSIS conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 1 - No Poverty SDG 4 - Quality Education SDG 9 - Industry, Innovation and Infrastructure SDG 10 - Reduced Inequalities
01 Advancements in Data Science for Social Research +
This track focuses on the integration of data science methodologies in social research, highlighting innovative approaches and case studies. Participants will explore how data analytics can enhance understanding of social phenomena.
02 Information Systems in the Humanities +
This session examines the role of information systems in the humanities, emphasizing their impact on research, preservation, and dissemination of cultural heritage. Discussions will include best practices and emerging technologies in the field.
03 Big Data Analytics for Social Change +
This track investigates the application of big data analytics in driving social change and policy-making. Presentations will showcase successful projects that leverage large datasets to address societal challenges.
04 Machine Learning Techniques in Social Science +
This session delves into the use of machine learning techniques to analyze social science data, focusing on predictive modeling and classification methods. Attendees will learn about the implications of these techniques for research outcomes.
05 Artificial Intelligence in Information Management +
This track explores the transformative role of artificial intelligence in managing information systems. Discussions will cover AI-driven tools and their effectiveness in enhancing data retrieval and knowledge management.
06 Digital Transformation in Social Institutions +
This session addresses the challenges and opportunities presented by digital transformation in social institutions, including libraries and community organizations. Case studies will illustrate successful strategies for implementing digital initiatives.
07 Cloud Computing for Collaborative Research +
This track highlights the benefits of cloud computing in facilitating collaborative research within the social sciences and humanities. Participants will discuss cloud-based tools that enhance data sharing and project management.
08 Data Management Practices in Social Research +
This session focuses on effective data management practices essential for social research, including data curation, storage, and sharing. Best practices for ensuring data integrity and accessibility will be emphasized.
09 Knowledge Discovery in Social Data +
This track examines methodologies for knowledge discovery in social data, emphasizing techniques for extracting meaningful insights from complex datasets. Participants will explore the intersection of data science and social inquiry.
10 Ethical Considerations in Data-Driven Research +
This session addresses the ethical implications of using data science in social research, including privacy concerns and data governance. Discussions will focus on establishing ethical frameworks for responsible research practices.
11 Innovations in Data Visualization for Social Insights +
This track showcases innovative data visualization techniques that enhance the interpretation of social science data. Participants will learn how effective visual representations can facilitate better communication of research findings.