2022 2nd International Conference on Public Management and Big Data Analysis
Call For Papers

2022 2nd International Conference on Public Management and Big Data Analysis  (PMBDA 2022) 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:

Public Management:
Big Data Analysis
  • The environmental protection

  • The energy management

  • Digital city

  • The project management

  • Urban management

  • Service science

  • Information management

  • Information security

  • Logistics management

  • Risk management

  • Operations management

  • Supply chain management

  • Technical management

  • Systems engineering

  • Big data Management

  • Traffic and Transportation management

  • Industrial Engineering and management

  • Safety engineering and management

  • Civil and structural engineering

  • Logistics and supply chain management

  • New product development and product engineering

  • Operations research

  • New public management theory

  • Public affairs research

  • Urban public management and public services

  • Administration and International Administration

  • Changes in public governance

  • Public utility environmental studies

  • The origin and development of public administration

  • Public administration and traditional administrative mode

  • Research on control mode and operation mechanism

  • The safety management

  • Social governance

  • Social management system innovation and exploration

  • Public service quality management

  • Sustainable urban development

  • Big data analysis search algorithm and system

  • Big data search algorithms and systems

  • Big data analytics, analytics and metrics

  • Big data analysis architecture

  • Big data models and algorithms

  • Big data Architecture

  • Big data Management

  • Big data protection, integrity and privacy

  • Big data security applications

  • Big data search and mining

  • Big data for business, government and society

  • Block chain

  • Economic statistics under big data

  • Big data analysis of business model innovation

  • Big data analysis for business, government and society

  • Large number in enterprise performance management

  • Enterprise transformation of big data

  • Economic growth and technological innovation

  • Basic model of big data

  • Presentation format of multimedia big data

  • Privacy protection big data analysis

  • Big data visualization analysis

  • Data mining algorithm

  • Algorithms and programming techniques for big data processing

  • Cloud computing technology for big data

  • Big data analysis and measurement

  • Big data services

  • Big data encryption

  • Open platform for big data

  • Big data quality and management

  • Models and languages for big data protection

  • Distributed and point-to-point search

  • Machine learning based on big data

  • Big data in enterprise performance management

  • Big data for business model innovation

  • Big data in mobile and pervasive computing

All papers, both invited and contributed, will be reviewed by two or three experts from the committees. After a careful reviewing process, all accepted papers of PMBDA 2022 will be submitted for indexing by EI Compendex and Scopus.

Submission Methods

1.The submitted papers must not be under consideration elsewhere.

2.Please send the full paper(word+pdf) to English SUBMISSION SYSTEM or Chinese SUBMISSION SYSTEM 

3.Please submit the full paper, if presentation and publication are both needed.

4.Please submit the abstract only, if you just want to make presentations.

5.Templates Downlow:Templates

6.Should you have any questions, or you need any materials in English, please contact the conference secretary.


1) Both Abstract and Full Paper are welcomed. The author can make an oral presentation after the Abstract is accepted and the payment is finished.

2) 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. We firmly believe that ethical conduct is the most essential virtual of any academic. Hence any act of plagiarism is a totally unacceptable academic misconduct and cannot be tolerated.