[AISWorld] Call for paper: The 2019 INFORMS Workshop on Data Science

[Nachiketa Sahoo]

*The 2019 INFORMS Workshop on Data Science*

*Hosted by The INFORMS College on Artificial Intelligence*



Seattle, WA, USA

October 19, 2019

http://2019.dsconf.cc/



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: *April 22, 2019*

Paper submission Deadline: *July 1, 2019*

Notification of Acceptance: *August 5, 2019*

We look forward to receiving your paper submissions, and to seeing you at
the conference!

*Information for Authors:*

   - Maximum of 10 single-spaced pages, printable on 8.5 x 11-inch paper
   - 12-point font with one-inch margins on four sides
   - Blind submissions
   - *INFORMS Workshop on Data Science or INFORMS do not take ownership of
   paper copyrights*.

*Organizing Committee:*

*Honorary Chairs*

Olivia Sheng, University of Utah

Alexander S. Tuzhilin, New York University



*Conference Chairs*

Xiaobai (Bob) Li, University of Massachusetts Lowell

Balaji Padmanabhan, University of South Florida

Yong Tan, University of Washington



*Program Chairs*

Zhepeng (Lionel) Li, York University

Nachiketa Sahoo, Boston University

Kang Zhao, University of Iowa



*Publicity Chairs*

Shawn Mankad (Cornell University)

Dirk Neumann (University of Freiburg)

Paul Pavlou (Temple University)

Junjie Wu (Beihang University)

Qiang Ye (Harbin Institute of Technology)

Leon Zhao (City University of Hong Kong)



*Finance Chair*

Alan Wang, Virginia Tech



*Webmaster*

Kexin Yin, University of Delaware