Eric Potash

• Measure-and-remeasure as an economically feasible approach to crediting soil organic carbon at scale

  Open Access•Eric Potash, Mark Bradford et al.•ARTICLE•Environmental Research Letters•2025

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  Agricultural carbon crediting predominantly relies on process-based biogeochemical models to estimate accrual of soil organic carbon stock (SOC). We investigate the conditions under which it may be economical to estimate SOC accrual by measuring and remeasuring SOC, which relies on fewer assumptions than modeling. We analyze multi-field measure-and-remeasure SOC projects with two key features: first, practice assignment is randomized to compare t…

• Algorithmic Fairness

  Open Access•Shira Mitchell, Eric Potash et al.•ARTICLE•Annual Review of Statistics and…•2021

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  A recent wave of research has attempted to define fairness quantitatively. In particular, this work has explored what fairness might mean in the context of decisions based on the predictions of statistical and machine learning models. The rapid growth of this new field has led to wildly inconsistent motivations, terminology, and notation, presenting a serious challenge for cataloging and comparing definitions. This article attempts to bring much-…

• Algorithmic Fairness

  Open Access•Shira Mitchell, Eric Potash et al.•ARTICLE•Annual Review of Statistics and…•2021

  Añadir item

  A recent wave of research has attempted to define fairness quantitatively. In particular, this work has explored what fairness might mean in the context of decisions based on the predictions of statistical and machine learning models. The rapid growth of this new field has led to wildly inconsistent motivations, terminology, and notation, presenting a serious challenge for cataloging and comparing definitions. This article attempts to bring much-…

• Measure-and-remeasure as an economically feasible approach to crediting soil organic carbon at scale

  Open Access•Eric Potash, Mark Bradford et al.•ARTICLE•Environmental Research Letters•2025

  Añadir item

  Agricultural carbon crediting predominantly relies on process-based biogeochemical models to estimate accrual of soil organic carbon stock (SOC). We investigate the conditions under which it may be economical to estimate SOC accrual by measuring and remeasuring SOC, which relies on fewer assumptions than modeling. We analyze multi-field measure-and-remeasure SOC projects with two key features: first, practice assignment is randomized to compare t…

Computer Science (2 obras) · Adversarial Robustness in Machine Learning (1 obras) · Carbon fibers (1 obras) · Data mining (1 obras) · Data science (1 obras) · Economics (1 obras) · Environmental Science (1 obras) · Ethics and Social Impacts of AI (1 obras) · Explainable Artificial Intelligence (XAI (1 obras) · Field (mathematics) (1 obras)