AICS-2023: The 1st International Workshop on Artificial Intelligence for Career Science In conjunction with the IEEE International Conference on Data Mining 2023 Shanghai, China, December 4, 2023 |
Conference website | https://njustkmg.github.io/AICS-2023/ |
Submission link | https://easychair.org/conferences/?conf=aics2023 |
Submission deadline | September 3, 2023 |
In today's competitive and fast-evolving business environment, it is a critical time for organizations and individuals to rethink how to deal with career-related tasks (e.g., recruitment, development, incentive, and career planning) more scientifically. Indeed, the availability of large-scale career-related data provides unparalleled opportunities for business leaders and researchers to understand the scientific rules of careers. Career Science, an emerging interdisciplinary research direction, has increasingly attracted attention from data mining communities. As a result, extensive intelligent tools and models have been developed for effective and efficient decision-making in complex scenarios affecting talents, organizations, and the labor market. To this end, this workshop aims to bring together researchers and practitioners to discuss critical problems in career-related domains and potential data-driven solutions by leveraging state-of-the-art data mining technologies.
Submission Guidelines
We invite the submission of regular research papers (max 8 pages plus 2 extra pages), including all content and references. Submissions must be in PDF format, and formatted according to the new Standard IEEE Conference Proceedings Template.
Submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. Considering the practical characteristics of this workshop, to enrich the presentations, we strongly encourage the authors to submit their demonstrations, e.g., intelligent system for career analytics, which will also be evaluated during the review process.
All the papers are required to be submitted via the EasyChair system.
List of Topics
This workshop aims to bring together leading researchers and practitioners to exchange and share their experiences and the latest research/application results on all aspects of Career Science based on data mining technologies. It will provide a premier interdisciplinary forum to discuss the most recent trends, innovations, applications, real-world challenges encountered, and corresponding data-driven solutions in relevant domains.
Topics of interest include but are not limited to:
- Career development
- Career path modeling
- Online recruitment
- Job recommendation
- Person-job fit and job satisfaction
- Labor market intelligence
- Strategic management and planning
- Fairness in talent and management computing
- Professional social networks
- Talent behavior modeling
- Talent personality and leadership
- Talent performance assessment
- Talent retention and incentive
- Team formation and task assignment
- Group-based decision-making
- Organizational change and stability
- Organizational culture and communication
- Organizational competition analysis
Committees
Organizing Committee
- Prof. Hengshu Zhu, Career Science Lab (CSL), BOSS Zhipin
- Prof. Fuzhen Zhuang, Beihang University
- Prof. Keli Xiao, Stony Brook university
- Prof. Xi Zhang, Tianjin University
- Prof. Yang Yang, Nanjing University of Science and Technology
- Prof. Hui Xiong, The Hong Kong University of Science and Technology (Guangzhou)
Publication
By the unique ICDM tradition, all accepted workshop papers will be published in the dedicated ICDMW proceedings published by the IEEE Computer Society Press.
Venue
The conference will be held in conjunction with the IEEE International Conference on Data Mining 2023 (ICDM-2023)
Contact
All questions about submissions should be emailed to zhuhengshu@gmail.com. Thanks for your attention.