# DSDI — International Conference on Data Science and Digital Innovation

- **Submission deadline**: 2026-09-04
- **Notification date**: 2026-09-28
- **Conference date**: 2026-10-24
- **Location**: Lisbon, Portugal
- **Conference Partner Index**: 44.4/100 (ranked #3053, confidence 0.25, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 0
- **Attendees**: 0
- **Canonical page**: https://www.myhuiban.com/conference/5543

## Call for papers

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

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Source: Conference Partner — https://www.myhuiban.com/conference/5543 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)