[Iefac.list] Call for Papers: 13th INFORMS Workshop on Data Mining and Decision Analytics (DMDA) November 3, 2018 Phoenix, AZ

[shouyi wang]

CALL FOR PAPERS
The 13th INFORMS Workshop on Data Mining & Decision Analytics (DMDA)
Saturday, November 3, 2018, Phoenix, AZ

Dear colleagues,
The INFORMS 13th Workshop on Data Mining and Decision Analytics (DMDA) will
take place on November 03, 2018 in Phoenix, AZ in conjunction with the 2018
INFORMS Annual Meeting. We invite submissions on topics on data mining,
machine learning, and decision making with data. For more information,
please see the workshop webpage
http://meetings2.informs.org/wordpress/phoenix2018/pre-meeting/#data-mining.

Timeline:
Sept 14: full paper submission deadline
Sept 21: Review decisions sent out
October 1st: Final Paper due
November 3rd: Workshop

Papers Submission Guidelines:
* Submit papers by email to Ellen.tralongo at informs.org
* Maximum of 10 pages (including all-abstract, references, tables, and
figures, Single-spaced)
* 11-point font with one-inch margins on four sides
* Copyright: The DM workshop will not retain the copyrights on the papers;
so, the authors are free to submit their papers to other outlets. The
papers will be shared to participants on a CD, but they will not be posted
online.

Publication Opportunity at Journal Special Issue:
Participants of this workshop are encouraged to submit their extended
manuscripts to the special issue of Data Mining & Decision Analytics at the
Annals of Operations Research journal. For more information, contact the
special issue guest editors:
* Victoria Chen, the University of Texas at Arlington, vchen at uta.edu
* Asil Oztekin, University of Massachusetts Lowell, Asil_Oztekin at uml.edu
* Seoung Bum Kim, Korea University, sbkim1 at korea.ac.kr

Registration Fees:
All participants should pay the full amount of the regular Informs
Conference Registration fee and additionally below-listed fee to
participate at this workshop. These below-listed fees include full-day meal
courses (breakfast and lunch) for the day of November 03. Only the
registered participants (both to the Informs Conference and to the DMDA
Workshop itself) would be eligible to present, participate, and audit the
event.
* Students:  $75.00 per student (breakfast and lunch are included)
* Non-Students:  $150.00 per non-student (breakfast and lunch are included)


Highlights of the DMDA Workshop

Best Paper Presentation Contest
Authors of all papers which are accepted after a rigorous one-round review
process AND after an in-person presentation at the workshop would be
eligible for this contest. The contest is focused on coherence between the
content of the paper as well as the presentation. It will be judged by a
panel of DMDA Workshop chair and session chairs on any topic related to
data mining & decision analytics. In addition to a name-engraved plaque,
following monetary awards would be presented to the winners:
* Best Student Paper: $250;
* Best Non-student Paper: $250.

Editors’ Panel: How to Publish in Top journals
Top-tier premier outlets of the leading journals in the field of data
mining and decision analytics would be represented by their respective
editors.  After a short presentation of the editors (5 minutes each), there
will be a Q&A session, in which the audience would have a chance to ask
questions to the editors. The following list of editors (and the
corresponding journals they would represent in alphabetical order) will be
participating at this panel:
* Information Systems Research —Dr. Sudobha Kumar
* Productions and Operations Management —Dr. Saravanan Kesavan
* Management Science —Dr. Manel Baucells
* Journal of Operations Management — Dr. Suzanne de Treville

Keynote Speakers of the DMDA Workshop:
Dr. Subodha Kumar: is Dr. Subodha Kumar joins the Fox School as a Full
Professor within the Department of Marketing and Supply Chain Management.
He will hold secondary appointments within the Management Information
Systems and Statistical Science departments. Kumar also will serve as the
Director of Fox’s Center for Data Analytics. Kumar arrives at Fox after
holding the Carol and G. David Van Houten Professorship at Texas A&M
University’s Mays Business School. He has held appointments at the
University of Washington and the University of North Carolina at Charlotte.
He also holds a Visiting Distinguished Professorship at the Dongbei
University of Finance and Economics in China and a Visiting Professorship
at the Indian School of Business in Hyderabad, India. His research and
teaching interests include healthcare analytics, social media analytics,
web analytics, and cybersecurity, among others. Kumar has published
numerous papers in high-quality journals and conferences. In addition, he
has authored a book, and co-authored book chapters, Harvard Business School
cases, and Ivey cases. He also holds a patent. Kumar serves as the deputy
editor of Production and Operations Management and a senior editor of
Decision Sciences. Kumar studied at the University of Texas at Dallas,
where he earned his Ph.D. and MBA. He also received a Master’s degree from
the Indian Institute of Technology in Kanpur, and a Bachelor of Science
degree in Mechanical Engineering from BIT Sindri, both in India.

Dr. Roger Chiang is a Professor of Information Systems at the Department of
Operations, Business Analytics, and Information Systems, Carl H. Lindner
College of Business, University of Cincinnati.  Chiang’s research interests
are in big data and analytics, data and knowledge management, and
intelligent systems.  He has articles published by journals such as ACM
Transactions on Database Systems, ACM Transactions on Management
Information Systems, Communications of the ACM, Data & Knowledge
Engineering, Decision Support Systems, Journal of American Society for
Information Science and Technology, Journal of Management Information
Systems, Marketing Science, MIS Quarterly, and Very Large Data Base
Journal. He has served as the senior editor of The DATA BASE for Advances
in Information Systems, Decision Sciences, and Journal of the Association
for Information Systems, and the associate editor of Information &
Management, Journal of Database Management, and MIS Quarterly.  He has been
the reviewer for more than twenty journals of computer science and
information systems.

Aaron Burciaga is a data scientist and leader in Booz Allen’s defense
business, focusing on the application of descriptive, predictive, and
prescriptive forms of analysis to drive strategic decision making and
millions of dollars in cost savings for his clients. In his more than 15
years of experience, Aaron has shaped commercial, federal, and Department
of Defense strategies in data analytics, inventory management, requirements
forecasting, maintenance planning, transportation networks, energy
planning, organizational analytics maturity assessments, and much more.
Aaron is a sought-after speaker, sharing thought leadership and training at
the crossroads of his technical interests: advanced analytics, machine
intelligence, global logistics, and information management. Prior to
joining Booz Allen, Aaron worked at Accenture Digital—Advanced Analytics as
an analytics executive. Before turning his attention to commercial and
public sectors, Aaron was a Marine Corps officer and Iraq war veteran, and
was the head operations research analyst and director of an operations
analysis activity at the Pentagon, supporting the Marine Corps
Headquarters. He is currently a Marine reservist, supporting the Chief
Information Officer at Headquarters Marine Corps-Pentagon as the Big Data
Analytics Architect. Aaron graduated from the U.S. Naval Academy in 2003
and earned his M.S. in Operations Research from the Naval Postgraduate
School in 2010. He is also a Certified Analytics Professional.


For inquiries, please contact Workshop Chairs:
* Ali Dag (University of South Dakota, Decision Science and Operational
Analytics Department: Ali.dag at usd.edu
* Shouyi Wang (University of Texas at Arlington, Industrial Engineering
Department: shouyiw at uta.edu

Management Committee:
* Victoria Chen (University of Texas at Arlington)
* Asil Oztekin (University of Massachusetts Lowell)
* Onur Seref   (Virginia Tech)
* Matthew Lanham (Purdue University)
-------------- next part --------------
An HTML attachment was scrubbed...
URL: https://lists.clemson.edu/pipermail/iefac.list/attachments/20180908/b60e0e20/attachment.html