International Conference on Data Engineering and Information Systems

ICDENIS

28th May – 29th May 2027 Vienna, Austria

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Registration Summary

Conference ICDENIS

Date 28th May – 29th May 2027

Location Vienna, Austria

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 Advancements in Data Engineering for Social Science Research +

This track focuses on the latest methodologies and technologies in data engineering that enhance research capabilities in the social sciences. Participants will explore case studies and innovative applications that demonstrate the impact of data engineering on social research outcomes.

SDG 4 SDG 10

02 Big Data Analytics in Humanities Studies +

This session examines the role of big data analytics in transforming humanities research through new insights and perspectives. Scholars will discuss tools and techniques that facilitate the analysis of large datasets within the context of historical, cultural, and linguistic studies.

SDG 4 SDG 11

03 Machine Learning Applications in Information Science +

This track investigates the integration of machine learning techniques in information science, focusing on their application in data retrieval, classification, and analysis. Participants will share their findings on how machine learning enhances the efficiency and accuracy of information systems.

SDG 9 SDG 16

04 Data Management Strategies for Social Science Applications +

This session addresses effective data management strategies tailored for social science applications, emphasizing best practices in data governance and stewardship. Experts will present frameworks that ensure data integrity, accessibility, and usability in research settings.

SDG 16

05 Cloud Computing Solutions for Information Systems +

This track explores the impact of cloud computing on the development and deployment of information systems in the social sciences. Presentations will cover cloud-based tools that facilitate collaboration, data sharing, and scalability in research projects.

SDG 9 SDG 17

06 Data Modeling Techniques in Social Science Research +

This session delves into advanced data modeling techniques that support the analysis of complex social phenomena. Researchers will present innovative models that capture the intricacies of social interactions and behaviors.

SDG 4 SDG 16

07 Ethics and Privacy in Data-Driven Social Research +

This track addresses the ethical considerations and privacy concerns associated with data collection and analysis in social science research. Discussions will focus on establishing guidelines that protect individual rights while enabling impactful research.

SDG 16

08 Interdisciplinary Approaches to Data Analytics in Humanities +

This session promotes interdisciplinary collaboration by showcasing how data analytics can bridge gaps between humanities and social sciences. Participants will highlight successful projects that leverage data analytics to enrich understanding across disciplines.

SDG 4 SDG 17

09 Innovations in Database Systems for Social Science Data +

This track focuses on the development of innovative database systems that cater specifically to the needs of social science researchers. Presentations will cover advancements in database architecture, performance optimization, and user accessibility.

SDG 9 SDG 16

10 Visualization Techniques for Big Data in Social Sciences +

This session explores cutting-edge visualization techniques that enhance the interpretation of big data in social science research. Researchers will demonstrate how effective visual representations can lead to deeper insights and better communication of findings.

SDG 4 SDG 9

11 Future Trends in Information Science and Data Engineering +

This track anticipates future trends in information science and data engineering, discussing emerging technologies and methodologies. Experts will speculate on the potential transformations these trends may bring to the social sciences and humanities.

SDG 9 SDG 17