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IEEE SDS 2023 : Call for Papers - IEEE Swiss Conference on Data Science - Scientific Track


When Jun 22, 2023 - Jun 23, 2023
Where Zurich, Switzerland
Submission Deadline Feb 17, 2023
Notification Due Apr 5, 2023
Final Version Due May 9, 2023
Categories    data science   machine learning   artificial intelligence   big data

Call For Papers

Call for Papers – Scientific Track (co-sponsored by IEEE)

Data Science stands at the forefront of new scientific discoveries. It plays a significant role in all aspects of our daily lives. The 10th IEEE Swiss Conference on Data Science brings together researchers, developers and innovators. SDS20223 takes place on June 22-23, 2023.

Topics of interest

We invite international submissions of original research papers related to all areas of Data Science, especially best practice and use-case oriented research work with scientific-technical depth and practical applicability. Topics include but are not limited to the following areas:

Data Product Design, Data-Centric Business Models
Data-driven Value Creation, Servitization, ecosystems, Service Design and Operations
Circular Servitization
Business Intelligence
Data Warehousing
Decision Support Systems
Data, Text, and Web Analytics
Machine Translation & Multilinguality
Question Answering and NLP Applications
Information Integration
Search & Information Retrieval
Semi-Structured and Unstructured Data
Pattern Recognition
Recommendation Systems
Personalization and Contextualization
Data Governance
Data Fusion
Predictive Modelling
Abnormal Detection, Adversarial Attacks & Robustness
Support Vector Machines
Data Mining
Classification, Clustering, Object Detection and
Semantic Segmentation
Un-, Semi- and weakly Supervised Learning
Deep Learning
Machine Learning
Evolutionary Computing and Optimization
Feature Selection
Fuzzy Computing
Hybrid Methods
Neural Networks and their Applications
Data Management
Modeling and Managing Large Data Systems
Open Data
Data and Information Quality
Data Modeling and Visualization
Data Structures and Data Management Algorithms
Big Data Applications
Edge Computing
Query Processing and Optimization
Data Privacy and Security
Fairness, Accountability, Transparency, Ethics, and Explainability
Cyber security in relation to data science
Domain Specific Applications (e.g. Health, Legal, Industrial, Environmental etc.)
Smart Services


Full Paper – present high-quality research contributions, including experiments, analysis, or system papers, as well as descriptions of application results. Each submission can have up to 8 pages incl. references.

Short Paper – present late-breaking results, work in progress, follow-up extensions, application case studies, or evaluations of existing methods. Each submission can have up to 4 pages incl. references.

All submissions must be original works that have not been published previously in any conference proceedings, magazine, journal, or edited book. The review process will be double blind, therefore we ask authors to take specific care to anonymize their submissions reasonably. Concurrent submissions are strictly forbidden. Submission of papers implies the intention to register and present the related content at the conference. The scientific international Program Committee will carefully review the submissions. Excellent content and presentation as demonstrated in the submission are mandatory for acceptance (acceptance rate 2022: 29%). Accepted submissions will be presented in English (as a talk or a poster) by the authors at the conference. As last year, proceedings of all papers presented at the conference will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements. All submissions must be formatted by following the IEEE 8.5” x 11” two-column format.

Important Dates

February 17, 2023: Submission deadline
April 05, 2023: Acceptance notification
May 09, 2023: Camera ready papers deadline
June 22 – 23, 2023: Conference takes place

You can find the submission procedure on our website

If you have any questions, please direct them to

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