2025 5th International Conference on Big Data, Artificial Intelligence and Risk Management (ICBAR 2025)
About ICBAR 2025
Conference Website: www.05.icbar.net
Conference Dates: May 09-11, 2025
Venue: Chengdu, China
As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. Such endeavors are making new contributions to the globalization and creating a community of shared future.
2025 5th International Conference on Big Data, Artificial Intelligence and Risk Management (ICBAR 2025) will be held in Chengdu, China on May 09-11, 2025. Since the beginning of the 21st century, the progress of big data, artificial intelligence and risk management science has promoted the prosperity and development of the society and economy. Many universities and enterprises have developed many related technologies and products, and have achieved fruitful academic results and application transformation. The purpose of the conference is to provide experts, scholars, engineering technicians, and R&D personnel engaged in big data, artificial intelligence and risk management technology with a way to share scientific research results and cutting-edge technologies, understand academic development trends, broaden research ideas, strengthen academic research and discussion, and promote A platform for cooperation in the industrialization of academic achievements. The conference sincerely invites experts from domestic and foreign universities, scientific research institutions, scholars, business people and other relevant personnel to participate in the conference.
Call For Paper
Data analysis · Data mining · Modeling · Natural language processing (NLP) · Risk management systems · Data integration and visualization · Data management, analysis and information retrieval · Object detection and recognition · Network security · Open knowledge computing · Distributed data processing and integration · Risk recognition · Artificial intelligence algorithms | · Distributed artificial intelligence · Big data-driven management and decision-making · Scientific research based on big data · Decision management · Risk and emergency governance system · Reliability engineering · Big data-driven risk analysis and management · Risk governance and big data · Application of big data in epidemic risk management · Risk analysis and management based on artificial intelligence technology |
Publication
All papers, both invited and contributed, will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers of ACM ICPS (ACM International Conference Proceeding Series) will be publishedand submitted to EI Compendex, Scopus for indexing.
Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.
Submission Methods
1. The submitted papers must not be previously published or under consideration of publication elsewhere.
2. Please submit your full paper (Word+pdf) to SUBMISSION SYSTEM
3. And please submit the full paper if both the presentation and publication are needed.
4. Please submit the Abstract only if you just want to make a presentation.
5. Templates download: Templates
6. Should you have any questions or you need any information in English, please contact us
Program
The following information about the schedule is for your reference:
Registration Fee
* If your paper is accepted by committee and you registered for the conference, a 30% processing fee will be deducted if a retraction is requested.
Contact
Ms Lee ~ Millie
Tel: +86-13922157154 (WeChat)
QQ: +86-13922157154
E-Mail: icibar@163.com
