第二届信息化管理与计算技术研讨会

- Welcome To ICBAR 2025 -

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.

Full Paper Submission Date：April 092025

Registration Deadline：April 19 2025

Final Paper Submission Date：April 29 2025

Conference Dates：May 09-11 2025

Call For Papers

2025 5th International Conference on Big Data Artificial Intelligence and Risk Management （ICBAR 2025） will bring together leading researchers engineers and scientists in the domain of interest from around the world.

Topics of interest for submission include but are not limited to:

■  Big Data Artificial Intelligence and Risk Management

• · Data analysis
• · Data mining
• · Modeling
• · Natural language processing （NLP）
• · Risk management systems
• · Data integration and visualization
• · Data management analysis and information retrieval
• · ob
• · 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 ba
• · 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 ba

Submission

We warmly welcome prospective authors to submit their new research or technological contributions to ICBAR 2025 for sharing valuable experiences with scientists and students from around the world. All submissions to ICBAR 2025 should be written in English according to the template. To guarantee the high quality of the conference and the proceedings the submissions must be reviewed by preliminary review and peer-review （double blind）. The preliminary review will take 1-3 working days by our Committee Members if the submission passed the preliminary review then it will be peer-reviewed by 2-3 Committee Members. And the review results come out within 25-30 days. If the paper needs revising （minor or major revisions） the revised version should be submitted again for peer review by the initial reviewer（s）. Authors are allowed to submit the revisions within 15 days.

1. Abstract Submission

For attendees who are interested in submitting an abstract only for presentation without publication please submit your abstract（s） via Online Submission System.

Abstract should be strictly within one A4 page in length apart from the cover letter page and containing 200-300 words

2. Full Paper Submission

All submitted articles should report original previously unpublished research results experimental or theoretical. Articles submitted to the Conference should meet these criteria and must not be under consideration for publication elsewhere.

Format: Manusc