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INFORMS Workshop on Data Science, hosted by INFORMS College on Artificial Intelligence, is a premier research conference dedicated to developing novel data science theories, algorithms, and methods to solve challenging problems in business and society. The conference provides a venue for innovative data science studies that solve business and societal problems from the lens of data mining and machine learning, ranging from marketing and finance problems to health care, cybersecurity, and social network problems. Studies on theoretical and methodological foundations to data science, such as optimization for machine learning and new algorithms for data mining, are also welcome.

 INFORMS WDS2023 Best Paper Awards

Paper Title: A New Index Measuring Occupational Exposure to Artificial Intelligence 

Authors: Yuanyang Liu (University of Tennessee), Chuanren Liu (The University of Tennessee Knoxville), Tingliang Huang (The University of Tennessee Knoxville)

 INFORMS WDS2023 Best Student Paper Awards

Paper Title: Certified Robust Neural Networks: Generalization and Corruption Resistance

Authors: Mohammed Amine Bennouna (MIT), Ryan Lucas (MIT), Bart Van Parys (MIT)

Paper Title: What’s Next? Deciphering Occupational Mobility via a Theory-Driven Deep Learning Approach

Authors:  Lun Li (Stevens Institute of Technology), Jingyi Sun (Stevens Institute of Technology), Rong Liu (Stevens Institute of Technology)