Overview
The 13th IEEE Swiss Conference on Data Science and AI (SDS2026) is set to take place on May 6-7, 2026, in Zürich, Switzerland. This conference serves as a significant platform for researchers and practitioners in the fields of data science and artificial intelligence to share their innovative work and insights.
Background & Relevance
Data science and AI are rapidly evolving fields that play a crucial role in various sectors, from healthcare to finance. The SDS2026 conference aims to highlight advancements in these areas, focusing on practical applications and the latest methodologies. By fostering collaboration and knowledge exchange, this conference contributes to the ongoing development of effective AI solutions that address real-world challenges.
Key Details
- Conference Dates: May 6-7, 2026
- Location: Zürich, Switzerland
- Abstract Registration Deadline: January 23, 2026
- Paper Submission Deadline: February 1, 2026
- Reviewer Feedback: Until February 20, 2026
- Comment on Reviewer Feedback: Until February 23, 2026
- Decision Notification: March 10, 2026
- Conference Date: May 8, 2026
Eligibility & Participation
The conference invites submissions from researchers, practitioners, and students who are involved in data science and AI. It targets those who can contribute original research that demonstrates both theoretical depth and practical applicability.
Submission or Application Guidelines
Participants are encouraged to submit their work through the EasyChair platform at this link. The submission guidelines are as follows:
– Full Paper: Maximum of 8 pages, including references, formatted in IEEE 8.5” x 11” two-column format. This should present high-quality research contributions, including experiments and analyses.
– Short Paper: Maximum of 4 pages, including references, also in IEEE format. This should present late-breaking results or evaluations of existing methods.
All submissions must be original and not previously published. Concurrent submissions are not allowed, and confidentiality of submitted materials will be maintained. Upon acceptance, titles, authorship, and abstracts of accepted papers will be released.
More Information
The conference will cover a wide range of topics, including but not limited to:
– Large Language Models and Learning Methodology
– Human-AI Interaction
– Data-Driven Value Creation
– AI and Society: Ethics, Fairness, and Accountability
This broad scope allows for diverse contributions that can advance the understanding and application of data science and AI in various domains.
Conclusion
SDS2026 presents an excellent opportunity for researchers and practitioners to engage with the latest developments in data science and AI. Interested individuals are encouraged to prepare their submissions and participate in this prestigious event, contributing to the future of these dynamic fields.
Category: CFP & Deadlines
Tags: data science, artificial intelligence, machine learning, neural networks, human-ai interaction, data-driven applications, AI ethics, IEEE, Zürich, SDS2026, conference, big data
