2^nd International Conference on Big Data Engineering and Education (BDEE 2022)

August 05-07, 2022, Chengdu, China

Scope & Topics

2^nd International Conference on Big Data Engineering and Education (BDEE) will be held on August 5-7, China at Chengdu, China. BDEE is the premier forum for the presentation of technological advances and research results in the fields of big data and education. The conference will provide a valuable opportunity for researchers, scholars and scientists to exchange their ideas face to face. It will bring you an unexpected harvest. We welcome you to be a member of our big family.We invite submissions of papers, abstracts, posters and demos on all topics related to big data and educations. BDEE2022 is co-sponsored by Civil Aviation Flight University of China (CAFUC) and Sichuan Province Computer Federation and organized by School of Science, Civil Aviation Flight University of China. Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. Today, big data has become capital. Think of some of the world’s biggest tech companies. A large part of the value they offer comes from their data, which they’re constantly analyzing to produce more efficiency and develop new products. Schools, universities, colleges and educational bodies hold very large amounts of data related to students and faculty. This data can be analyzed to get insights that can improve the operational effectiveness of the educational institutions. BDEE2022 is calling for papers related to big data and focuses on big data in education sectors. Submission can belongs to the below field, but not limited.

Topics of Interest :

• AI, cognitive science, big data and analytics in professional fields, such as cyber security, accounting, law, medicine, education, etc.
• Big Data Analytics curriculum design, development and delivery
• Big Data as a business strategy and source of innovation
• Advanced courses on decision analytics, modelling, algorithms, machine learning and visual analytics
• Ethics, Trust and Governance in AI, Data and Analytics
• AI and Big Data Analytics on industrial engineering programs
• Approaches to teaching and assessing big data, Artificial Intelligence
• Regulatory and data compliance issues with Big Data
• Software for teaching AI, BDA and cognitive science

Paper Submission

Please prepare your abstract or full paper according to the template and submit via Online Submission System

Important Dates