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 extended to August 10, 2020

Notification of Acceptance

August 24, 2020 extended to September 14, 2020 (tentative)

Information for Authors

• Maximum of 10 single-spaced pages, printable on 8.5 x 11-inch paper (excluding references).
• 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.