INFORMS Releases

BALTIMORE, MD, February 21, 2024 – Artificial intelligence (AI) has made great strides in the past few years, even months. New research in the INFORMS journal Management Science finds that AI agents can build trust – like that of humans.

BALTIMORE, MD, February 12, 2024 – New research has found that women and minorities are more likely to pay higher premiums when they take out auto loans. A new study conducted by researchers at three leading universities found that women and minorities pay a statistically significant and greater dealer interest rate markup than men and non-minorities.

BALTIMORE, MD, January 31, 2024 –

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.

• Streamlining Emergency Dispatches by Incorporating Uncrewed Aerial Vehicles: More Lives Can Be Saved in Overdose Situations (INFORMS journal Manufacturing & Service Operations Management)
• Women Helping Women Leads to Increased Sales: New Research Breaks Down the Importance of Female Mentors (INFORMS journal Marketing Science)
• New Research Says Political Polarization Can Unknowingly Threaten Workplace Relationships (INFORMS journal Management Science)
• New Algorithm Tests New Retail Product Popularity Faster, Saving Time and Money (INFORMS Journal on Applied Analytics)

BALTIMORE, MD, January 17, 2024 – INFORMS, the largest association for the decision and data sciences, has selected six finalists for the annual Franz Edelman Award for Achievement in Advanced Analytics, Operations Research and Management Science, the world’s most prestigious award for achievement in the practice of analytics and operations research (O.R.). 

BALTIMORE, MD, January 3, 2024 – New research has found a way to leverage the power of artificial intelligence (AI) to more efficiently screen out bad ideas to focus on only good ideas in the crowdsourcing process within ideation. More specifically, the research has arrived at a simple model for screening out ideas that experts might consider “bad.” Importantly, managers can adjust their model to determine how many bad ideas to screen out, without losing good ones. The research also found a single new predictor that screens out atypical ideas and preserves more inclusive and rich ideas.