The 2023 INFORMS Workshop on Data Science
Hosted by The INFORMS College on Artificial Intelligence
Conference date: Saturday, October 14, 2023
Location: Phoenix, Arizona
Conference website: https://sites.google.com/view/data-science-2023/
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 businesses 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, deep learning, reinforcement learning, network science, and artificial intelligence. The workshop welcomes original research addressing non-trivial data analytical challenges and problems in marketing, finance, supply chain, healthcare, energy, cybersecurity, social network services, privacy, credibility, etc. Contributions to novel methods may be motivated by insightful observations on the limitations of existing data science methods to address practical challenges or by studying entirely new data science problems. Similarly, novel techniques may be inspired based on the unique characteristics of a particular application environment. Research contributions on theoretical and methodological foundations of data science, such as optimization for machine learning and new algorithms for data mining, are also welcome.
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 on individuals and firms
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, etc.
Large-scale recommendation systems and social media systems
Visual analytics for business data in image and video formats
Mobile analytics and spatial-temporal data mining
Experiences with big data project deployments
Machine learning, reinforcement learning, and AI for business applications
Adaptation of emerging deep learning techniques, e.g., transformers, graph embedding approaches for targeted business applications
Generative AI and its various impacts on individuals, organizations, and societies.
Paper Submission Open: May 19, 2023
Paper Submission Deadline June 30, 2023
Notification of Paper Acceptance: August 11, 2023
Early Registration Deadline (INFORMS early registration): August 31, 2023
Workshop Date: October 14, 2023
Information for Authors:
Complete paper submissions should be a maximum of 10 pages, including tables and figures.
Short paper submissions (which could be extended abstracts or work-in-progress papers) should be a maximum of 5 pages, including tables and figures.
References (irrespective of complete paper or short paper submissions) 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.
Submissions must be blinded. No author information should appear anywhere in the document.
INFORMS or Workshop on Data Science does not take ownership of paper copyrights.
When uploading papers to the submission portal, the authors can indicate whether or not the paper's main contributor is a student (so as to be considered for the best student paper award).
We will provide a scholarship to some student authors or student co-authors of accepted workshop papers. This scholarship will cover the registration fees for the INFORMS meeting and the INFORMS Data Science Workshop. More details will be provided upon paper acceptance notifications.
Best Paper Awards:
The INFORMS College on Artificial Intelligence, which hosts the Workshop on Data Science, will be sponsoring three categories of awards: the best complete paper, the best short paper, and the best student paper.
Opportunity for Invited Journal Submission:
Selected full papers on relevant topics will also be invited to submit the extended abstract to the Special Issue of Responsible AI and Data Science for Social Good at INFORMS Journal on Computing. Details of the special issue call for papers can be found at INFORMS Journal on Computing website.
- Olivia Sheng, University of Utah
- Alexander S. Tuzhilin, New York University
University of Minnesota