Conference Information

BlockSys 2027: International Conference on Blockchain, Artificial Intelligence, and Trustworthy Systems

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Submission Date:
2027-01-31 Due in 100 days
Notification Date:
2027-03-15
Conference Date:
2027-04-16
Location:
Guangzhou, China
Years:
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CCF: C   Viewed: 22916   Tracked: 7   Attend: 3
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BlockSys
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Conference Partner Index (CP-I)

58.4 / 100
Ranked #674 of 5,759 conferences · Top 12%

#55 of 366 in Security & Privacy #58 of 751 in Artificial Intelligence & Machine Learning

Academic recognition (35%)
66
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
62
Community attention (10%)
46
Public record completeness (15%)
55

Inputs used: Listed as CCF C · Editions on record: 9 · Researchers following it here: 7 · Researchers who opened this page in the past 24 months: 32

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 80% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.2 · Computed 2026-10-23

Call For Papers

BlockSys 2027 (International Conference on Blockchain, Artificial Intelligence, and Trustworthy Systems) is a CCF C conference held in Guangzhou, China on 2027-04-16. The paper submission deadline is 2027-01-31. Acceptance notifications are sent on 2027-03-15.

The 9th International Conference on Blockchain, Artificial Intelligence, and Trustworthy Systems (BlockSys’2027) will be held in Guangzhou, China. This prestigious event brings together leading researchers, industry professionals, and academics from around the globe to explore the latest advancements and applications in blockchain technology, artificial intelligence (AI), and trustworthy systems. BlockSys’2027 aims to provide a comprehensive platform for discussing the integration and impact of these transformative technologies. The conference will feature a diverse range of topics, including blockchain protocols, AI algorithms, system security, privacy-preserving technologies, and trust management frameworks. Through keynote speeches, technical sessions, and panel discussions, participants will engage in in-depth exploration of how these technologies can drive innovation, enhance security, and address critical challenges in various domains. Attendees will have the opportunity to share their research findings, exchange ideas with peers, and explore new collaborations in a dynamic and forward-thinking environment. We invite you to join us in Guangzhou for BlockSys’2027 and contribute to shaping the future of technology and trustworthy systems. We welcome contributions addressing a broad range of topics within the following key themes: Blockchain Technology: Advances in blockchain protocols and architectures Smart contracts and decentralized applications Security, privacy, scalability, and interoperability of blockchain systems Blockchain integration with emerging technologies Blockchain in supply chain and logistics Blockchain for digital identity and authentication Artificial Intelligence: Advances in machine learning, deep learning, and AI algorithms AI ethics, fairness, and transparency Explainable AI and interpretability AI in healthcare, finance, and industry AI-driven data analysis and visualization Reinforcement learning and robotics AI applications in data analysis, decision-making, and automation Synergies between AI and blockchain technologies AI-driven innovations in trustworthy systems Trustworthy Systems: Techniques for enhancing system reliability and robustness Privacy-preserving methods and trust management Risk assessment and mitigation strategies Compliance and regulatory issues Frameworks for ensuring system trustworthiness Ethical and societal impacts of technology Policy and regulatory considerations Cross-disciplinary Research: Integration of blockchain and AI for improved security and reliability Innovative solutions at the nexus of blockchain, AI, and trustworthy systems Case studies showcasing successful applications and challenges
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