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What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

De Gustibus Est Disputandum: The role of agricultural and applied economists in an era of behavior change initiatives and endogenous preferences

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract Popular society increasingly questions preferences that drive many resource allocations and production decisions, with many groups actively seeking to alter those preferences to achieve changes to resource use. Agricultural and applied economists, who are already equipped with excellent technical skills to undertake consumer preference and ...
Brian E. Roe
wiley   +1 more source

Economics of land‐based carbon mitigation

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract Agricultural land holds tremendous potential to contribute to net zero greenhouse gas emission goals by providing low carbon renewable energy to displace fossil fuels and by serving as a sink for sequestering carbon in the soil with climate‐smart practices. This potential is, however, far from being realized.
Madhu Khanna
wiley   +1 more source

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