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Please see the attachment for a printable version.
<http://www.linkedin.com/pub/wenjun-zhou/15/80b/662>
*The 2020 INFORMS Workshop on Data Science*
*Hosted by The INFORMS College on Artificial Intelligence*
National Harbor, MD, USA
November 7, 2020
http://2020.dsworkshop.org/
The INFORMS Workshop on Data Science is a premier research
conference
dedicated to developing data science theories, methods, and
algorithms to
solve challenging problems and benefit business and society at
large. The
workshop invites innovative data science research contributions
that
address business and societal challenges from the lens of
statistical
learning, data mining, machine learning, and artificial
intelligence. The
workshop welcomes original research addressing challenges in
marketing,
finance, and supply chain applications and problems in healthcare,
energy,
cybersecurity, social network services, privacy, credibility, etc.
Contributions on novel methods may be motivated by insightful
observations
on the limitations of existing data science methods to address
practical
challenges, or by studying entirely novel data science problems.
Research
contributions on theoretical and methodological foundations of
data
science, such as optimization for machine learning and new
algorithms for
data mining, are also welcomed.
*Research Contributions May Include:*
● Models for data science and predictive analytics
● Performance measures in data science with important practical
implications
● Computational methods for big data, text mining, and natural
language processing
● Innovative methods for social network analytics
● Data acquisition, cleaning, integration, and best practices
● Data-driven methods for cybersecurity and data privacy problems
● Prediction of rare events, anomaly detection, and fraud
detection
● Methods for induction and inference with missing values
● Data-driven methods for effective risk management
● Data science for healthcare: chronic disease management,
preventative care, etc.
● Data science for industrial applications: energy, education,
finance, supply chain, e-commerce, etc.
● Large-scale recommendation systems and social media systems
● Visual analytics for business data
● Mobile analytics
● Experiences with big data project deployments
● Deep learning and business applications of AI
*Important Dates:*
Paper submission Open: *May 4, 2020*
Paper submission Deadline: *July 13, 2020*
Notification of Acceptance: *August 24, 2020*
We look forward to receiving your paper submissions, and to seeing
you at
the conference!
*Information for Authors:*
● Maximum of 10 pages including tables and figures. References do
not count towards the page limit. Use single-spaced text with
12-point font
and one-inch margins on four sides, printable on 8.5 x 11-inch
paper.
● Blind submissions
● *INFORMS Workshop on Data Science or INFORMS do not take
ownership
of paper copyrights*.
*Best Paper Awards and Student Travel Grants:*
The INFORMS College on Artificial Intelligence who hosts the
Workshop on
Data Science will be sponsoring awards this year for best paper
and best
student paper. In addition, a limited number of student travel
grants will
be available for students who have accepted papers at the
Workshop. Details
will be made available at a later time. Please confirm in the
paper
submission portal if there is a student or students on the paper
who would
like to be considered for a travel grant, and they will be
contacted for
additional information.
*Organizing Committee:*
*Honorary Chairs*
Olivia Sheng, University of Utah
Alexander S. Tuzhilin, New York University
*Conference Chairs*
Ahmed Abbasi, University of Virginia,
ana6e@comm.virginia.edu
Yael Grushka-Cockayne, Harvard University,
ygrushkacockayne@hbs.edu
Kang Zhao, University of Iowa,
kang-zhao@uiowa.edu
*Program Chairs*
Brent Kitchens, University of Virginia,
bmk2a@comm.virginia.edu
Sriram Somanchi, University of Notre Dame,
somanchi.1@nd.edu
Wenjun Zhou, University of Tennessee,
wzhou4@utk.edu
*Publicity Chairs*
Tomer Geva, Tel Aviv University
Shawn Mankad, Cornell University
Dirk Neumann, University of Freiburg
Paul Pavlou, University of Houston
Junjie Wu, Beihang University
*Finance Chair*
Alan Wang, Virginia Tech
*Local Arrangement Chair*
Jingyuan Yang, George Mason University