2022/8/19-2022/8/21
HULUNBEIER
Conference Title: 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS2022)
Website URL: www.icbdss.org
Start Date / End Date: August 19 - 21, 2022
Location: Hulunbuir, China
Submission Deadline: August 17, 2022
1. About the conference:
The 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022) will be held on August 19 - 21, 2022, in Hulunbuir, China. With the support of experts and professors, the ICBDSS 2022 conference successfully held its first conference last year. In order to allow more scholars to have the opportunity to participate in the conference to share and exchange experience. This conference mainly focused on "big data", "social science" and other research fields to discuss. At present, my country has entered the era of "big data cloud migration", that is, the era of big data, the Internet of things, cloud computing and mobile Internet. The market demand for big data talents is also increasing day by day. The purpose of the conference is to provide a way for experts, scholars, engineering technicians, and technical R&D personnel engaged in big data and social science research to share scientific research results and cutting-edge technologies, understand academic development trends, broaden research ideas, strengthen academic research and discussion, and promote the academic achievement industry Platform for chemical cooperation. The conference sincerely invites experts, scholars from domestic and foreign universities, scientific research institutions, business people and other relevant personnel to participate in the conference.
We warmly invite you to participate in ICBDSS 2022 and look forward to seeing you in Hulunbuir, China!
2. Publication
1. All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex, Scopus for indexing.
2.We also call for papers for SCI journals. Excellent papers will be recommended directly to the following or other suitable SCI journals.
Journal 1:Sustainable Cities and Society(ISSN: 2210-6707,IF=4.624, Special Issue)
Journal 2:Electronic Commerce Research(ISSN: 1572-9362, IF=1.94, Regular Issue)
Journal 3:Journal of Organizational Computing and Electronic Commerce(ISSN:1091-9392, IF=1.4, Regular Issue)
3. Important Dates
Submission Deadline: August 17, 2022
Notification Date: 1-2 weeks after submission
Registration Deadline:August 21, 2022
Conference Date:August 19 - 21, 2022
4. Submission Guides
A. Full Paper (for Presentation and Publication)
Accepted full paper will be invited to give the oral presentation at the conference and be published in the conference proceedings.
B. Abstract (Presentation only)
Accepted abstract will be invited to give the oral presentation at the conference, the presentation will not be published.
C. All submissions must not be less than 6 pages in length.
(authors will be charged extra 300RMB/page if the manuscript length is more than 6 pages)
D. Submission Methods
Please send the full paper & abstract to SUBMISSION SYSTEM.
5. Call For Papers
Key Words:
Big Data:
Big data analysis
Big data Science and Foundation
Big data application
Big data management
Data science model and method
Big data algorithm
Big data search and information retrieval technology
Big data collection, integration, cleaning and best practices
Big data and deep learning
Scalable computational models, theory and algorithms
Memory systems and platforms for big data analytics
Big data and high performance computing
Big data network infrastructure
Big data system performance evaluation report
Storage system (including file system, NoSQL and RDBMS)
Resource management method for big data system
Multicore computing and accelerators
Internet of Things big data application
Big data mobile app
Smart city big data application
Data stream application
Big data service
Big data open platform
The scalability of big data systems
Big data privacy and security
Big data archiving and saving
Visual analysis algorithm and basis
Visual graphics and context models
Big data conversion and presentation
Experience and big data project deployment
Big data in business management model and practice
Big data in government management model and practice
Big data for business transformation
Other Related Topics
Social Sciences:
Digital Humanities Research for Social Sciences (Digital Humanities)
Educational Science Research Based on Big Data (Educational Science)
Cultural Studies Based on Big Data Methods (Culture)
Literary Studies Based on Big Data Methods (Literature)
Art Research Based on Big Data Method (Art)
Historical Research Based on Big Data Methods (History)
Political Research Based on Big Data Methods (Politics)
Research on Philosophy Based on Big Data (Philosophy)
Research on Marxist Theoretical Problems Based on Big Data Method (Marxism)
Research on Ethics and Methodology of Big Data Application (Ethics)
Research on the Legal Power of Big Data Application and Its Practical Issues (Law)
Research on Discourse (Linguistics) Based on Big Data Methods (Linguistics)
Research on Social Governance Based on Big Data Method (Sociology)
Research on Innovation of Social Science Research Methods in Big Data Era
Research and Application of Public Opinion Based on Big Data Method
Research on Modern Economic System Based on Big Data Method
Other Related Topics
6. Registration
Items |
Registration fee (By US Dollar) |
Regular Registration (6 pages) |
450 USD/ per paper |
Manuscript numbers ≥ 3 |
430 USD/ per paper (6 pages) |
Extra Pages (Begin at Page 7) |
50 USD/ per extra page |
Attendees without Papers |
180 USD / per person |
Attendees without Papers (Groups) |
150 USD / per person(≥ 3 persons) |
Purchase Extra Journal |
75 USD/ book |
7. Schedule
Schedule |
||
Aug.19 |
13:00-17:00 |
Registration |
Aug.20 |
09:00-12:00 |
Speeches of Keynote Speakers |
12:00-14:00 |
Lunch |
|
14:00-17:30 |
Oral Presentations |
|
18:00-19:30 |
Banquet |
|
Aug.21 |
09:00-18:00 |
Academic Investigation |
8. Contact Us
Conference Secretary: Ms Lee ~ Millie
E-mail: contact@icbdss.org
Tel: +86- 13922157154 (cellphone)
WeChat: 13922157154
QQ: 377972319