Full Papers
Original research contributions with substantial technical depth and evaluation.
Machine Learning/CORE Unranked
TAG-DS 2026
Topology, Algebra, and Geometry in Data Science
TAG-DS 2026 is a conference focused on the intersection of technology, artificial intelligence, and societal impact, with a strong emphasis on AI safety, ethics, and responsible innovation. It brings together researchers, practitioners, and policymakers to present and discuss cutting-edge work in AI-driven systems and their real-world implications.
Key deadlines
Verified September 9, 2026Full paper
June 16, 2026
AoE
Conference timeline
Submission and decisions
Full paperKey deadline
June 16, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short Papers
Concise presentations of early-stage work, position papers, or case studies.
Workshop Proposals
Proposals for standalone workshops co-located with the main conference.
Demo Proposals
Submissions for live demonstrations of AI systems or tools.
Research areas in scope
01
Conference Tracks
AI SafetyAI EthicsResponsible AIAI GovernanceHuman-AI InteractionAI for Social GoodAI and Public PolicyAI Transparency and ExplainabilityBias and Fairness in AIAI and Privacy
Policies worth checking twice
- All submissions must be anonymized for double-blind review.
- Full papers are limited to 10 pages, short papers to 5 pages, excluding references.
- Dual submission to other conferences or journals is not permitted during review.
- Author lists and affiliations cannot be changed after the submission deadline.
- Authors must include a statement on the use of AI tools in the research process.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Official conference siteConference WorkshopsTAG-AI Safety 2026TAG-AI Safety 2025TAG-ML 2023TAG-ML 2023 Papers and Posters
Last verified September 9, 2026