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{{Event 
|Acronym=DSHCM  2017 
|Title=DSHCM   2017 : First Call for Papers - The 1st International Workshop on Data Science for Human Capital Management (collocated with IEEE ICDM'17) 
|Type=Workshop 
|Field=computer science
|Start date=2017/11/18
|End date=2017/11/18 
|City=New Orleans 
|Country= LA
|Homepage=http://www.dshcm.org
|Submission deadline=2017/08/07
}}
======================================================
FIRST CALL FOR PAPERS
======================================================


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

Website: http://www.dshcm.org

Collocated with IEEE International Conference on Data Mining ICDM’17
http://icdm2017.bigke.org/


Description:
========
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 7th, 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: www.dshcm.org

Special Journal Issue:
================
The DSHCM chairs have finalized an agreement with the Editors-in-Chief of
SpringerOpen Data Science and Engineering journal
(http://www.springer.com/computer/database+management+%26+information+retrieval/journal/41019)
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.


Proceedings:
=========
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 7th, 2017: Submission deadline
September 7th, 2017: Notification of acceptance
September 18th, 2017: Camera-ready deadline for accepted papers
November 18th, 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
CareerBuilder
Georgia, USA
faizan.javed@careerbuilder.com

Ioana E. Marinescu
Harris School of Public Policy,
University of Chicago
Illinois, USA
ioanamarinescu@gmail.com

Mihai Rotaru
Textkernel BV
The Netherlands
rotaru@textkernel.nl

Mohammad Al Hasan
Department of Computer Science
Indiana University - Purdue University
Indiana, USA
alhasan@cs.iupui.edu
Acronym	DSHCM 2017 +
End date	November 18, 2017 +
Event type	Workshop +
Has coordinates	29° 57' 0", -90° 4' 12"Latitude: 29.949933333333 Longitude: -90.070116666667 +
Has location city	New Orleans +
Has location country	Category:LA +
Homepage	http://www.dshcm.org +
IsA	Event +
Start date	November 18, 2017 +
Submission deadline	August 7, 2017 +
Title	DSHCM 2017 : First Call for Papers - The 1st International Workshop on Data Science for Human Capital Management (collocated with IEEE ICDM'17) +