INFORMS Releases

BALTIMORE, MD, July 17, 2023 – When researchers set out to study 401(k) retirement savings accumulation, they found that thousands of studies of retirement savings accumulation ignored the surprisingly high rate of departing employees who cash out retirement savings at job separation. This is concerning because, statistically, everyone will likely change jobs multiple times before retirement.

EDITOR’S NOTE: Decision Science Digest is a periodic communique highlighting recent peer-reviewed research published by INFORMS, the largest association for the decision and data sciences, across its 17 journals. This issue highlights four press releases based on the findings of new peer-reviewed articles.

• AI-Tailor Learning: How AI Can Help Students Succeed During and After Adversity (INFORMS journal Management Science)
• Rideshare Policy Identified to Reduce Impact of Platform Critiques on Driver Revenue (INFORMS journal Management Science)
• 10 Million Fewer Cases: The Results of a Smart Testing Algorithm on COVID-19 (INFORMS journal Information Systems Research)
• Data Science Helps to Identify and Reduce Fall Risks in the Elderly Using Health Data (INFORMS journal Information Systems Research)

BALTIMORE, MD, June 9, 2023 – A new study of food consumer shopping behaviors has found that when faced with a choice – lower prices or healthier foods – they will likely choose lower prices.

BALTIMORE, MD, June 8, 2023 – Headed to the emergency department (ED)? How should you decide which nearby ED to go to so that you can get in and out? New research in the INFORMS journal Manufacturing & Service Operations Management uncovers how best to showcase hospital wait times to not only save your patience, but increase efficiency, more accurately route emergency vehicles and save money.

BALTIMORE, MD, May 31, 2023 – Taking down the drug trade with data. New research in the INFORMS journal Information Systems Research showcases the power of data and analytics in understanding how drug transactions on the dark web may be disrupted. The study looks at data from the three largest darknet markets to show the impact of selectively targeting large drug vendors online.