Data Science - Analytics and Applications - Proceedings of the 6th Interdisciplinary Data Science Conference - iDSC2025

Based on the overall digitalization in all spheres of our lives, Data Science and Artificial Intelligence (AI) are nowadays cornerstones for innovation, problem solutions, and business transformation. Data, whether structured or unstructured, numerical, textual, or audiovisual, put in context with other data or analyzed and processed by smart algorithms, are the basis for intelligent concepts and practical solutions. These solutions address many application areas such as Industry 4.0, the Internet of Things (IoT), smart cities, smart energy generation, and distribution, and environmental management. Innovation dynamics and business opportunities for effective solutions for the essential societal, environmental, or health challenges, are enabled and driven by modern data science approaches.
The iDSC is designed as a conference with a dual approach: By bringing together the latest findings in research and science, as well as innovative implementation examples in business and industry, the conference is aimed at reflecting the current scientific breakthroughs and application expertise, as a means of stimulating shared professional discourse. The iDSC realizes this approach via its Research & Science track, the Application & Use Cases track, as well as interactive workshops. In addition, iDSC is striving to provide a PhD colloquium, enabling young researchers to exchange with senior faculty, industry experts, as well as other fellow students. All these activities are complemented with exciting keynotes and panels, providing international exchange and the discussion of current and next-gen trends in the domain of data science.

About the author

Peter Haber
is Assistant Professor and Head of Laboratory in the Department of Information Technologies and Digitalisation at Salzburg University of Applied Sciences, coordinating the System Theory & Mechatronics unit. As a Senior Researcher and Project Manager, he has led and contributed to numerous national and international research projects in IT and IT management. His work focuses on applying Data Science solutions in business and industrial contexts. He is also co-author of various scientific publications in the fields of simulation, e-learning, and project-based education. Since 2009, he has been a member of the International Advisory Board of the IATED conferences, actively contributing to global academic exchange and innovation.

Thomas Lampoltshammer
is an Associate Professor for ICT and Deputy Head of the Centre for E-Governance at the Department of E-Governance and Administration, University for Continuing Education Krems, Austria. His current research focuses on the domain of data governance, the effects of ICT application in a connected society, and the effects on a data-driven society. He has a substantial background in designing and implementing expert and decision-making systems, data analytics, and semantic-based reasoning.

Manfred Mayr
is responsible for "Management & Communication" within the "Information Technologies and Digitalisation" department and is a professor of IT Management & Digital Leadership at Salzburg University of Applied Sciences. He is a lecturer at international conferences and the author of numerous publications in the field of business informatics and its applications. The digitalisation of ERP applications in industrial environments has been a long-standing and important research focus of his. He has also been responsible for several national and international research projects as project manager.

Summary

Based on the overall digitalization in all spheres of our lives, Data Science and Artificial Intelligence (AI) are nowadays cornerstones for innovation, problem solutions, and business transformation. Data, whether structured or unstructured, numerical, textual, or audiovisual, put in context with other data or analyzed and processed by smart algorithms, are the basis for intelligent concepts and practical solutions. These solutions address many application areas such as Industry 4.0, the Internet of Things (IoT), smart cities, smart energy generation, and distribution, and environmental management. Innovation dynamics and business opportunities for effective solutions for the essential societal, environmental, or health challenges, are enabled and driven by modern data science approaches.
The iDSC is designed as a conference with a dual approach: By bringing together the latest findings in research and science, as well as innovative implementation examples in business and industry, the conference is aimed at reflecting the current scientific breakthroughs and application expertise, as a means of stimulating shared professional discourse. The iDSC realizes this approach via its Research & Science track, the Application & Use Cases track, as well as interactive workshops. In addition, iDSC is striving to provide a PhD colloquium, enabling young researchers to exchange with senior faculty, industry experts, as well as other fellow students. All these activities are complemented with exciting keynotes and panels, providing international exchange and the discussion of current and next-gen trends in the domain of data science.

Product details

• Assisted by: Peter Haber (Editor), Thomas J Lampoltshammer (Editor), Thomas J. Lampoltshammer (Editor), Manfred Mayr (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Release: 23.03.2026
• EAN: 9783032132321
• ISBN: 978-3-0-3213232-1
• Illustrations: Approx. 150 p.
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; Data Science, Big Data, Research, Applications, angewandte informatik, computer science, Computer and Information Systems Applications, Informatics, conference proceedings