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:
Information for Authors:
New this year, we will provide a scholarship to 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.
Editorial Feedback Roundtables:
New this year, we will organize editorial feedback roundtables. The goal of the roundtables is to pair author teams of accepted complete papers with a Senior Editor or Associate Editor from premier journals, such as MIS Quarterly, Information Systems Research, and Management Science, to identify strategies on how the authors could potentially position and/or extend their accepted workshop paper for journal submission. Note that these editorial feedback roundtables are not a fast-track submission process but rather an opportunity to seek feedback.
The Institute for Operations Research and the Management Sciences
phone 1 443-757-3500
phone 2 800-4INFORMS (800-446-3676)