Data Science For Human Capital Management
Views: 707
When : 2017-11-18
Where : New Orleans
Submission Deadline : 2017-08-07
Categories : Computer Science & Information Technology , Humanities, Art and Social Studies
Data Science For Human Capital Management(DSHCM 2017)
November 18 ,2017 ,New Orleans
Call for Papers:
Robust job creation, a skilled population and engaged employees are important socioeconomic elements for the economic success and social welfare of communities. For stable labor markets, it is important to match employers with the right candidates, provide opportunities for reskilling of the labor force, and ensure that the (post-hire) workforce is engaged and productive.
Topics :
- Machine learning for resume and job parsing
- Data standardization, classification and normalization for Human Capital Management
- Ontology mining for human capital knowledge graph construction
- Large-scale information extraction and inference for HCM
- Entity resolution and deduplication for HCM (e.g., people and job aggregators)
- Reputation systems for worker rankings and expertise
- Data mining for career pathing
- Semantic job matching
- Semantic search for recruitment
- Recommender systems for e-recruiting
- Labor market analytics for economic and workforce development (e.g., measuring skills gaps)
- Labor market economics (e.g., impact of policy and regulation on hiring)
IMPORTANT DATES:
- Submission Deadline :August 07, 2017
- Notification for accepted papers/abstracts :September 07, 2017
- Camera ready due: September 18, 2017
User Name : Jenifer
Posted 30-06-2017 on 17:23:53 AEDT