posted by organizer: faizanj || 11496 views || tracked by 14 users: [display]

DSHCM 2017 : Final Call for Papers - The 1st International Workshop on Data Science for Human Capital Management (collocated with IEEE ICDM'17)


When Nov 18, 2017 - Nov 18, 2017
Where New Orleans, LA, USA
Submission Deadline Aug 15, 2017
Notification Due Sep 15, 2017
Final Version Due Sep 22, 2017
Categories    data mining   data science   machine learning   computer science

Call For Papers

FINAL Submission deadline (extended) : August 21, 2017
Notification of Acceptance: September 7, 2017
Deadline for author registration: September 15, 2017
Camera-ready deadline for accepted papers: September 15, 2017


The 1st International Workshop on Data Science for Human Capital Management (DSHCM)


Collocated with IEEE International Conference on Data Mining ICDM’17

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. Human Capital Management (HCM) refers to the set of practices and systems that facilitate talent acquisition and management. It encompasses the areas of talent and labor market analytics, job advertising and distribution, professional social networks, candidate sourcing, tracking, onboarding, benefits administration and compliance.
There are many recent successful applications of data mining and data science techniques to problems in the HCM domain. For e.g., Text classification techniques are used for job posting classification; Sequence labeling and statistical modeling approaches find application in resume and job parsing; Near-deduplication algorithms in concert with big data pipelines power many job aggregators; Predictive analytics model employee flight risk; Ontology mining techniques help build knowledge graphs of human capital entities; Personalized search and semantic search help job seekers by understanding searcher intent and contextual meaning of terms in the recruitment domain; Recommender systems have been used for expertise search and job recommendations.

Topics of interest:
We solicit research works that are broadly related to data science on employment data, including data cleaning, data normalization, classification, clustering, and ranking. Specific topics of interest include (but are not limited to):

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)

SUBMISSION DEADLINE: August 15th, 2017

Submission guidelines:
This workshop welcomes submissions from both researchers and industry practitioners in HCM. Full paper submissions (maximum 8 pages) are solicited in the form of research papers which propose new techniques and advances using data mining techniques for HCM, as well as industry papers that describe practical applications and system innovations in HCM application areas. Short papers (maximum 6 pages) describing case studies or works-in-progress are also welcome.

Submissions have to conform to the IEEE ICDM'17 triple-blind submission guidelines.
Please see the workshop website for submission instructions:

Special Journal Issue:
The DSHCM chairs have finalized an agreement with the Editors-in-Chief of SpringerOpen Data Science and Engineering journal ( to publish a special issue with a subset of high-quality accepted papers in DSHCM. Although this is an open access journal there is no charge for the authors of accepted papers to publish their work in this journal. More information about the special issue will be available soon.

At least one author of each accepted paper must complete the workshop registration and present the paper at the workshop, in order for the paper to be included in the proceedings. Accepted papers will be included in the IEEE ICDM 2017 Workshops Proceedings volume published by IEEE Computer Society Press, and will also be included in the IEEE Xplore Digital Library. The workshop proceedings will be in a CD separated from the CD of the main conference. The CD is produced by IEEE Conference Publishing Services (CPS).

Important dates:
August 21, 2017: Submission deadline
September 7, 2017: Notification of acceptance
September 15, 2017: Camera-ready deadline for accepted papers
September 15, 2017: Author registration deadline
November 18, 2017: Workshop date

Program committee:
Marios Kokkodis, Boston College
Qiaoling Liu, CareerBuilder
Yun Zhu, CareerBuilder
Panos Alexopoulos, Textkernel
Valentin Jijkoun, Textkernel
Vanessa (Wei) Feng, The Globe and Mail
Ioannis (Yanni) Antonellis, Upwork/Stanford
Emmanuel Malherbe, Multiposting
Simon Hughes, Dice
Andrew Pierce, ADP
Kush R. Varshney, IBM TJ Watson Research Center
K.N. Ramamurthy, IBM TJ Watson Research Center
Maria Daltayanni, University of San Francisco
Daniel Kohlsdorf, Xing
Miguel Pelaez-Fernandez, Georgia Tech
Chen Zhu, Baidu HR
Parag Namjoshi, Workday
Wenjun Zhou, University of Tennessee
Vijay Dialani, LinkedIn
Manisha Verma, University College London
Pei-Chun Chen, Google
Ye Tian, Google
Nik Spirin, Datastars
Liangyue Li, Arizona State University
Puneet Manchanda, University of Michigan - Ann Arbor
Haifeng Li, ADP
Lei Zhang, LinkedIn
Sandro Vega-Pons, Ultimate Software
Songtao Guo, LinkedIn
Min Xiao, ADP
Kulsoom Abdullah, ADP
Nick McClure, PayScale
Xuxu Wang, Workday
Elie Raad, Monster
Eric Lawrence, Indeed
Mohammed Korayem, CareerBuilder

Workshop organizers:
Faizan Javed
Georgia, USA

Ioana E. Marinescu
Harris School of Public Policy,
University of Chicago
Illinois, USA

Mihai Rotaru
Textkernel BV
The Netherlands

Mohammad Al Hasan
Department of Computer Science
Indiana University - Purdue University
Indiana, USA

Related Resources

Smart Cities 2022   Smart Cities: Enabling Technologies and Applications
ICDM 2022   22nd IEEE International Conference on Data Mining
JEMI 2022   Call for papers: Weathering the Storm: Innovation-Driven Human Resource Management Practices
MLDM 2023   18th International Conference on Machine Learning and Data Mining
Recommender systems 2021   SN Computer Science Call for Papers: Topical Issue on Advanced Theories and Algorithms for Next-generation Recommender Systems
ICMLA 2022   IEEE International conference on Machine Learning and Applications
SI PMABD 2023   Special Issue on Programming Models and Algorithms for Big Data
ACM-Ei/Scopus-ITNLP 2022   2022 2nd International Conference on Information Technology and Natural Language Processing (ITNLP 2022) -EI Compendex
ICSC 2023   IEEE International Conference on Semantic Computing
Call for Papers 2022   Call for Papers Historical Yearbook 2022