The objective of this review paper is to describe the development and application of a suite of more than 40 computerized dairy farm decision support tools contained at the University of Wisconsin-Madison (UW) Dairy Management website http://DairyMGT.info. These data-driven decision support tools are aimed to help dairy farmers improve their decision-making, environmental stewardship and economic performance. Dairy farm systems are highly dynamic in which changing market conditions and prices, evolving policies and environmental restrictions together with every time more variable climate conditions determine performance. Dairy farm systems are also highly integrated with heavily interrelated components such as the dairy herd, soils, crops, weather and management. Under these premises, it is critical to evaluate a dairy farm following a dynamic integrated system approach. For this approach, it is crucial to use meaningful data records, which are every time more available. These data records should be used within decision support tools for optimal decision-making and economic performance. Decision support tools in the UW-Dairy Management website (http://DairyMGT.info) had been developed using combination and adaptation of multiple methods together with empirical techniques always with the primary goal for these tools to be: (1) highly user-friendly, (2) using the latest software and computer technologies, (3) farm and user specific, (4) grounded on the best scientific information available, (5) remaining relevant throughout time and (6) providing fast, concrete and simple answers to complex farmers’ questions. DairyMGT.info is a translational innovative research website in various areas of dairy farm management that include nutrition, reproduction, calf and heifer management, replacement, price risk and environment. This paper discusses the development and application of 20 selected (http://DairyMGT.info) decision support tools.

Background: The ways in which aging affects social economic decision-making is a central issue in the psychology of aging. To examine age-related differences in social economic decision-making as a function of empathy, 80 healthy volunteers participated in the Repeated Fixed Opponent Ultimatum Game (UG-R). Previous economic decision-making research has shown that in younger adults empathy is associated with prosocial behavior. The effects of empathy on older adult social economic decision-making are not well understood.

Methods: On each of 20 consecutive trials in the UG-R, one player (“Proposer”) splits $10 with another player (“Responder”) who chooses either to accept (whereby both receive the proposed division) or reject (whereby neither receives anything). Trait cognitive and emotional empathy were measured using the Interpersonal Reactivity Index.

Results: UG-R data were examined as a function of age and cognitive empathy. For “unfair” offers (i.e. offers less than $5), older Responders with high cognitive empathy showed less prosocial behavior and obtained greater payoffs than younger Responders with high cognitive empathy.

Conclusions: High levels of cognitive empathy may differentially affect economic decision-making behavior in younger and older adults. For older adults, high cognitive empathy may play a role in obtaining high financial payoffs while for younger adults it may instead be involved in facilitating social relationships.