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Effective Altruism as an Ethical Lens on Research Priorities

机译:有效的利他主义作为研究优先事项的道德镜头

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Effective altruism is an ethical framework for identifying the greatest potential benefits from investments. Here, we apply effective altruism concepts to maximize research benefits through identification of priority stakeholders, pathosystems, and research questions and technologies. Priority stakeholders for research benefits may include smallholder farmers who have not yet attained the minimal standards set out by the United Nations Sustainable Development Goals; these farmers would often have the most to gain from better crop disease management, if their management problems are tractable. In wildlands, prioritization has been based on the risk of extirpating keystone species, protecting ecosystem services, and preserving wild resources of importance to vulnerable people. Pathosystems may be prioritized based on yield and quality loss, and also factors such as whether other researchers would be unlikely to replace the research efforts if efforts were withdrawn, such as in the case of orphan crops and orphan pathosystems. Research products that help build sustainable and resilient systems can be particularly beneficial. The "value of information" from research can be evaluated in epidemic networks and landscapes, to identify priority locations for both benefits to individuals and to constrain regional epidemics. As decision-making becomes more consolidated and more networked in digital agricultural systems, the range of ethical considerations expands. Low-likelihood but high-damage scenarios such as generalist doomsday pathogens may be research priorities because of the extreme potential cost. Regional microbiomes constitute a commons, and avoiding the "tragedy of the microbiome commons" may depend on shifting research products from "common pool goods" to "public goods" or other categories. We provide suggestions for how individual researchers and funders may make altruism-driven research more effective.
机译:有效的利他主义是一种伦理框架,用于识别投资中最大的潜在利益。在这里,我们通过确定优先利益相关者,冒险系统和研究和技术来应用有效的利他主义概念来最大限度地提高研究效益。研究福利的优先利益攸关方可能包括尚未实现联合国可持续发展目标所载最低标准的小农;如果他们的管理问题是易行的,这些农民通常会从更好的作物疾病管理中获得更好的。在野外,优先级一直基于拓展基石物种,保护生态系统服务,保护对弱势群体的野生资源的风险。可以基于产量和质量损失优先考虑危险系统,以及其他研究人员是否不可能取代研究努力,如果努力撤回,例如在孤儿作物和孤儿疾病的情况下,其他研究努力。帮助构建可持续和弹性系统的研究产品可能是特别有益的。从研究中的“信息价值”可以在流行网络和环境中进行评估,以确定个人的优先位置,并限制区域流行病。由于决策变得更加巩固,更广泛地在数字农业系统中,道德考虑因素的范围扩大。低可能性但高损伤的情景如通用的世界末日病原体可能是由于极端潜在的成本而是研究优先事项。区域微生物体构成一个公共,避免“微生物组合的悲剧”可能取决于将研究产品从“公共池商品”转移到“公共物品”或其他类别。我们为个人研究人员和资助者如何使利他主义驱动的研究更有效地提供建议。

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