Nov. 12-14, 2021 | Shanghai, China


2021 2nd International Conference on Big Data in Management (ICBDM 2021) will be held in Shanghai, China during November 12-14, 2021. The goal of the ICBDM2021 is to establish an international forum for engineers and scientists to present their ideas and experiences in the fields of Big Data in Management. ICBDM2020 welcomes paper submissions on innovative work from researchers in academia, industry and government describing original research work in Big Data.

第二届大数据管理国际会议将于2021年11月12-14日在中国上海召开。大会将为来自世界各地的专家、学者和个人提供一个交流和研讨的高水平平台来分享他们研究出的卓越成果,探究领域内的热门问题,交换新的经验和技术。所有提交的论文都将由会议技术委员会进行同行评审,并根据原创性、技术和研究内容/深度、正确性、与会议的相关性、贡献和可读性进行评价。 

Conference Proceedings - ACM | Ei Compendex and Scopus 

All submissions will be peer reviewed, and all the accepted papers will be published in the ICBDM2021 Conference Proceedings, which will be indexed by Ei Compendex and Scopus and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science) .

 

All submissions will be peer reviewed, and all the accepted papers will be published in the ICBDM2021 Conference Proceedings, which will be indexed by Ei Compendex and Scopus and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science) .


ICBDM 2020 Keynote & Plenary Speakers

  • Prof. Steven Furnell
    University of Nottingham, United Kingdom

    Speech Title: TBA..

  • Prof. Walter Brenner
    University of St. Gallen, Switzerland

    Speech Title: TBA...

  • Prof. Lili Yang
    Loughborough University, United Kingdom

    Speech Title: TBA...

  • Dr. Yu-Wang Chen
    University of Manchester, United Kingdom

    Speech Title: TBA...

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WHY SHOULD YOU ATTEND ICBDM

  • Learn about products, implementation strategies, industry trends
  • Build Relationship with Colleagues who are Specialists in Different Areas of Big Data in Management

WHY SHOULD YOU ATTEND ICBDM

  • Share your experiences and lessons learned with other enthusiasts
  • Discover innovative solutions to enhance the performance