[AISWorld] Submission Open: INFORMS 2020 Workshop on Data Science

[Wenjun Zhou]

Dear colleagues,

The submission system for INFORMS 2020 Workshop on Data Science is now
open. Please visit the workshop website
http://2020.dsworkshop.org/submission-guidelines/ for more information. The
call for paper can be found at
http://2020.dsworkshop.org/wp-content/uploads/2020/02/INFORMS_DS_Workshop_2020_CFP.pdf

Please note that the submission deadline is July 13, 2020.

The INFORMS Workshop on Data Science is co-located with the INFORMS Annual
Meeting. Due to the potential impact of the COVID-19 pandemic, we are
working with INFORMS to decide the format or accommodation of the workshop.
More information will be shared at a later time once we receive further
notification.

Thank you,
DS 2020 Program Co-chairs
Brent Kitchens, Sriram Somanchi, and Wenjun Zhou



On Fri, Feb 28, 2020 at 3:51 PM Wenjun Zhou <wzhou7 at gmail.com> wrote:

> 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 at comm.virginia.edu
>
> Yael Grushka-Cockayne, Harvard University, ygrushkacockayne at hbs.edu
>
> Kang Zhao, University of Iowa, kang-zhao at uiowa.edu
>
> *Program Chairs*
>
> Brent Kitchens, University of Virginia, bmk2a at comm.virginia.edu
>
> Sriram Somanchi, University of Notre Dame, somanchi.1 at nd.edu
>
> Wenjun Zhou, University of Tennessee, wzhou4 at 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
>