Información de la conferencia
DSDI 2026: International Conference on Data Science and Digital Innovation
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Día de Entrega:
2026-06-05
Fecha de Notificación:
2026-07-03
Fecha de Conferencia:
2026-10-24
Ubicación:
Lisbon, Portugal
Vistas: 33   Seguidores: 0   Asistentes: 0

Solicitud de Artículos
The International Conference on Data Science and Digital Innovation (DSDI) invites researchers, practitioners, industry experts, and policymakers to submit original contributions addressing the role of Data Science in enabling digital innovation across organisations, industries, and society.

DSDI aims to provide an international forum for the presentation and discussion of cutting-edge research, practical applications, emerging methods, and interdisciplinary perspectives at the intersection of Data Science, artificial intelligence and digital innovation. The conference welcomes contributions that advance theory, methods, tools, systems, and applications, as well as papers that critically examine the organisational, ethical, and societal implications of data-driven innovation.

The conference seeks to bring together a diverse community interested in how data-driven approaches are reshaping business, government, education, healthcare, industry, and everyday life. Particular emphasis will be placed on scientific quality, practical relevance, and contributions that demonstrate clear value for digital innovation in real-world settings.

Topics of Interest

Topics include, but are not limited to, the following:

Foundations of Data Science and Statistical Learning
Machine Learning and Deep Learning
Data Mining and Knowledge Discovery
Generative AI and Large Language Models
Data Engineering, Data Management, and Data Quality
Big Data, Cloud, Edge, and Distributed Systems
Visual Analytics and Human-Centred Data Science
Responsible, Ethical, Fair, and Explainable Data Science
Digital Innovation and Data-Driven Transformation
Data Science for Business Model Innovation
Smart Organisations, Platforms, and Digital Ecosystems
Data Science in Health, Education, Finance, Government, and Industry
Reproducibility, Benchmarks, Open Data, and Open Science
Última Actualización Por Dou Sun en 2026-05-15