2020 International Workshop on Talent and Management Computing
Held in conjunction with KDD'20
August 24, 2020 - San Diego, CA, USA

Introduction

In today’s competitive and fast-evolving business environment, it is a critical time for organizations to rethink how to deal with the talent and management related tasks in a quantitative manner. Indeed, thanks to the era of big data, the availability of large-scale talent data provides unparalleled opportunities for business leaders to understand the rules of talent and management, which in turn deliver intelligence for effective decision making and management for their organizations. In the past few years, Talent and Management Computing have increasingly attracted attentions from KDD communities, and a number of research/applied data science efforts have been devoted. To this end, the purpose of this workshop is to bring together researchers and practitioners to discuss both the critical problems faced by talent and management related domains, and potential data-driven solutions by leveraging state-of-the-art data mining technologies.

Program

Topics of Interest

This workshop aims to bring together leading researchers and practitioners to exchange and share their experiences and latest research/application results on all aspects of Talent and Management Computing based on data mining technologies. It will provide a premier interdisciplinary forum to discuss the most recent trends, innovations, applications as well as the real-world challenges encountered and corresponding data-driven solutions in relevant domains.

The topics of interest include but not limited to:

  • - Talent behavior modeling
  • - Talent personality and leadership
  • - Talent performance assessment
  • - Talent recruitment
  • - Talent retention and incentive
  • - Talent email sentiment analysis
  • - Job recommendation
  • - Fairness on recruitment
  • - Skill recommendation
  • - Person-job fit and job satisfaction
  • - Career development
  • - Professional social networks
  • - Team formation and task assignment
  • - Group-based decision-making
  • - Organizational change and stability
  • - Organizational culture and communication
  • - Organizational competition analysis
  • - Strategic management and planning

Call For Paper

We invite the submission of regular research papers (9 pages), as well as vision papers and short technical papers (around 4-6 pages), including all content and references. Papers must be in PDF format, and formatted according to the new Standard ACM Conference Proceedings Template.

To encourage the discussion, both original papers, and papers which have been published before, are all welcome to be submitted to this workshop. Submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. Considering the practical characters of this workshop, to enrich the presentations, we strongly encourage the authors to submit their demonstrations, e.g., intelligent system for talent analytics, which will also be evaluated during the review process.

All the papers are required to be submitted via EasyChair system.

For more questions about the workshop and submissions, please send email to tmc2020@easychair.org.

Important Dates

June 15, 2020: Workshop paper submission due (23:59, Anywhere on Earth)

July 5, 2020: Workshop paper notifications

August 24, 2020: Workshop Day

Organizers

 
Hui Xiong

Hui Xiong

Rutgers University

Hengshu Zhu

Hengshu Zhu

Baidu Talent Intelligence Center

Tong Xu

Tong Xu

University of Science and Technology of China

Jun Liu

Jun Liu

Infinia ML

Ya Xue

Ya Xue

Infinia ML

 
 
Patrick Rabenold

Patrick Rabenold

Infinia ML

Ricardo Henao

Ricardo Henao

Duke University

Hongteng Xu

Hongteng Xu

Infinia ML

Justin Ellis

Justin Ellis

Infinia ML

Kai Zhang

Kai Zhang

Temple University