Conference Information

BDAIEM 2026: International Conference on Big Data, Artificial Intelligence and Economic Management

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Submission Date:
2026-11-27 Due in 52 days
Notification Date:
Conference Date:
2026-12-11
Location:
Ningbo, China
Years:
1
Organizer:
Viewed: 1042   Tracked: 0   Attend: 0
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BDAIEM
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Conference Partner Index (CP-I)

37.3 / 100
Ranked #5,554 of 5,693 conferences · Top 98%

#70 of 73 in Management & Social Sciences #333 of 337 in Data Mining & Databases #717 of 742 in Artificial Intelligence & Machine Learning

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
19
Community attention (10%)
8
Public record completeness (15%)
35

Inputs used: Editions on record: 1 · Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · 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 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-05

Call For Papers

BDAIEM 2026 (International Conference on Big Data, Artificial Intelligence and Economic Management) is an academic conference held in Ningbo, China on 2026-12-11. The paper submission deadline is 2026-11-27.

The topics of interest for submission include, but are not limited to: Track 1: Big Data Analytics and Data Science Big Data Architecture and Systems Data Mining and Knowledge Discovery Data Visualization and Visual Analytics Predictive Analytics Real-Time Data Processing Data Quality and Data Governance Cloud Computing and Big Data Platforms Data Integration and Data Fusion Business Intelligence Large-Scale Data Applications Track 2: Artificial Intelligence and Intelligent Computing Machine Learning Deep Learning Reinforcement Learning Natural Language Processing Computer Vision Generative AI and Large Language Models Knowledge Graphs and Intelligent Reasoning Multi-Agent Systems Human-AI Collaboration AI Algorithms and Applications Track 3: Digital Economy and Intelligent Decision-Making Digital Economy Platform Economy Data-Driven Decision Making Economic Forecasting and Analytics Intelligent Decision Support Systems Digital Transformation Innovation and Technology Management Digital Governance Economic Intelligence Data-Enabled Business Models Track 4: FinTech and Intelligent Finance FinTech Innovation Intelligent Investment and Risk Management Credit Assessment and Fraud Detection Blockchain and Digital Finance AI in Banking and Insurance Financial Forecasting Models Digital Payment Systems Smart Financial Services Financial Technology Applications Track 5: Intelligent Management and Business Analytics Business Analytics Operations Management Supply Chain Analytics Intelligent Marketing Customer Behavior Analytics Human Resource Analytics Enterprise Information Systems Organizational Intelligence Smart Manufacturing Management AI-Driven Business Management Track 6: AI for Industry and Society Smart Cities and Urban Analytics Intelligent Transportation Systems AI in Healthcare and Public Services Industrial Intelligence Smart Logistics E-Commerce Analytics Sustainable Development and AI AI for Education and Learning Social Computing and Behavioral Analytics Emerging AI Applications
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