In today’s competitive and fast-evolving business environment, it is a critical time for organizations to rethink how to make talent-related decisions in a quantitative manner. Indeed, the recent big data trend has made its way to talent management. The availability of large-scale talent data provides unparalleled opportunities for business leaders to understand the talent behaviors and gain tangible knowledge, which in turn deliver intelligence for real-time decision making and effective talent management at work for their organizations. In the past few years, Organizational Behavior and Talent Analytics 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 Organizational Behavior and Talent Analytics related domains, and potential data-driven solutions by leveraging state-of-the-art data mining technologies.
Program Sketch (Tentative)
This workshop aims to bring together leading researchers, practitioners and entrepreneurs to exchange and share their experiences and latest research/application results on all aspects of Organizational Behavior and Talent Analytics 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:
We invite the submission of regular research papers (6-9 pages), as well as vision papers and short technical papers (around 4 pages), including all content and references. Papers must be in PDF format, and formatted according to the new Standard ACM Conference Proceedings Template.
To ensure the originality, submitted papers must describe work that is substantively different from work that has already been published, or accepted for publication, or submitted in parallel to other conferences or journals.
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 obta2018@easychair.org.
May 23, 2018: Workshop paper submission due (23:59, Anywhere on Earth)
June 15, 2018: Workshop paper notifications
June 22, 2018: Camera-ready deadline for workshop papers
August 20, 2018: Workshop Day
