Call for Papers
The 15th International Symposium on Human Capital and Labor Markets Celebrating Release of the China Human Capital Report
——Parallel Forum on Data Science 2023
December 8-10, 2023
Beijing, China
The 15th International Symposium on Human Capital and Labor Markets is organized by the China Center for Human Capital and Labor Market Research (CHLR) and Co-organized by the Central University of Finance and Economics & University of Electronic Science and Technology of China Joint Research Data Center (CEDC).
The Parallel Forum on Data Science 2023 is to be hosted by the CEDC. The CEDC is a formal academic research institution in Central University of Finance and Economics (CUFE). CEDC aims to integrate valuable data resources domestic and overseas to meet the research needs of different disciplines.
This Data Science forum aims to explore the cutting-edge technologies, application scenarios and research innovations of data science in the fields of finance, economy and management, etc.
We will invite data experts and scholars from different disciplines to share their latest research results, practical experience and innovative ideas about data science.
Submissions:
All the abstracts related to the below or other related themes of this conference are welcome:
1. The Cutting-Edge Research of Large Language Models in the Data Analysis Domain
2. Financial literacy and financial health in the age of digital intelligence
3. High-quality Population Development and Chinese Modernization
4. Population Migration and Governance
5. Healthy aging and high quality population development
6. To solve aging and health risk: the role of public and private insurance cooperation
7. Education and the Healthy Development of Adolescents
8. Construction of friendly society for all ages and healthy urban governance
9. Platform Economy and Flexible Employment
10. Rural Revitalization and Rural Development
l Please submit an extended abstract (400-500 words in English) by on November 10, 2023 (Eastern Standard Time) to cufedatacenter@163.com (File format & Abstract template see Annex 1).
l Each abstract has to describe the purpose, methods and conclusions of the paper.
l Each session consists of paper presentations and discussion, both in English.
l Decisions on submissions will be announced in mid November.
l All papers accepted for presentation must be submitted to the conference by December 1, 2023 (Beijing Time, GMT+8) so that discussants will have enough time to prepare comments.
l We prefer in-person sessions, but there will also be online sessions to accommodate presenters who are unable to join in person.
Contact Information:
Email cufedatacenter@163.com for any questions
Call CEDC office (Ms. Qiaozhen Yang or Ms. Zhen Liu) 010-62288782
Organizing Committee:
l Boyang Gao, Professor, Deputy director of the CEDC, Central University of Finance and Economics
l Li Zhang, Professor, School of Sociology and Psychology, Central University of Finance and Economics
l Yan Wang, Associate Professor, School of Information, Central University of Finance and Economics
l Sibo Zhao, Associate Professor, School of Sociology and Psychology, Central University of Finance and Economics
l Fenghua Wen, Associate Professor, School of Government, Central University of Finance and Economics
l Zining Liu, Assistant Professor, School of Insurance, Central University of Finance and Economics
l Qian Hu, Assistant Professor, Institute of Finance and Economics, Central University of Finance and Economics
Annex 1:
Guidelines for File format & Abstract Submission
File format:
Microsoft Word format (.docx) or Microsoft Word 97-2003 format (.doc)
File name:
First presenter’s “FAMILY NAME_first name_Abstract”
Example: LEE_Su-jeong_Abstract.docx
Layout setting:
A4-Size
Margins: Top 3cm, Bottom 3cm, Left 2.5cm, Right 2.5cm, Gutter 0cm
Content:
Include the title, author, (job) title, department or division, institution or organization, mailing address, postal code, e-mail address and keywords.
Abstract length: 400-500 words
Please do not insert any figures and tables in your abstract.
Please do not include footnotes.
