3 results match your criteria: "Stony Brook University College of Business[Affiliation]"
A machine learning (ML) approach to understanding participation in government nutrition programs.
Curr Opin Psychol
August 2024
South Dakota State University, J.J. Lohr College of Engineering, USA.
Machine Learning (ML) affords researchers tools to advance beyond research methods commonly employed in psychology, business, and public policy studies of federal nutrition programs and participant food decision-making. It is a sub domain of AI that is applied for feature extraction - a crucial step in decision making. These features are used in context-specific automated decisions resulting in predictive AI models.
View Article and Find Full Text PDFEditorial for "A multi method exploration of marketing factors that can be used to improve access to healthy foods and increase healthy food consumption".
Appetite
December 2021
Stony Brook University College of Business, Stony Brook, NY, USA. Electronic address:
Looking Under the Hood of Third-Party Punishment Reveals Design for Personal Benefit.
Psychol Sci
March 2016
Center for Evolutionary Psychology, University of California, Santa Barbara Department of Anthropology, University of California, Santa Barbara.
Third-party intervention, such as when a crowd stops a mugger, is common. Yet it seems irrational because it has real costs but may provide no personal benefits. In a laboratory analogue, the third-party-punishment game, third parties ("punishers") will often spend real money to anonymously punish bad behavior directed at other people.
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