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

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.