Data, Economics and Computational Agricultural Science
探讨数据基础设施、数据科学和计算如何推动农业系统向更高效、健康、可持续转型，并提出公私合作投资数据以支持计算农业科学的方案。
Abstract In this address I discuss the potential for the revolution in data infrastructure, data science and computation to support and accelerate the transformation towards a more productive, healthy and sustainable agricultural systems. A theme that emerges from both the agricultural systems science and economic‐behavioral sciences is that improved acquisition and use of data is a critical constraint on agricultural research and its successful application, both for on‐farm production system management and for technology and policy decision making. This in turn suggests potentially high returns to public investment in the data needed to enable computational agricultural science. I conclude with a prototype private‐public scheme for investment in the data needed to support advanced computational methods and models, and discuss the economic, technical, legal and institutional challenges to its implementation.