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DSDI 2026: International Conference on Data Science and Digital Innovation

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투고 마감일:
2026-09-04 22일 남음 Extended
통보일:
2026-09-28
개최일:
2026-10-24
개최지:
Lisbon, Portugal
주최측:
조회: 794   팔로우: 0   참가: 0

논문 모집

DSDI 2026 (International Conference on Data Science and Digital Innovation) is an academic conference held in Lisbon, Portugal on 2026-10-24. The paper submission deadline is 2026-09-04 (extended). Acceptance notifications are sent on 2026-09-28.

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
최종 수정: Natalia Teixeira ()

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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536
AIEEE Transactions on Dependable and Secure Computing7.5IEEE1545-5971

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