Hastings Cent Rep. 2018 Jan;48 Suppl 1:S56-S64. doi: 10.1002/hast.820.
Much of the most substantive and in-depth experience with formal cost-benefit analysis in the public policy realm has occurred in the context of federal environmental regulation in the United States. This experience has many important lessons to teach in the realm of synthetic biology. Indeed, many of the dangers and pitfalls that arise when decision-makers use formal CBA to evaluate environmental regulation seem likely to arise in the synthetic biology context as well, sometimes in particularly troubling forms. Unfortunately, while in many instances these concerns may well point toward a rejection of formal CBA for synthetic biology, the experience from environmental regulation turns out to be far less helpful in identifying alternative decision-making tools. Because the decisions that arise in the synthetic biology context have a fundamentally different structure from decisions about environmental regulation, the most useful alternatives from that context do not map easily onto this new context. It may well be generally true that in the search for decision-making tools, we should not be looking for a single silver bullet that will work in all public policy realms. Perhaps, instead, different kinds of decision-making call for different tools. This may be true even within the realm of synthetic biology. I am not entirely sure what the "right" tool is for synthetic biology applications, or even whether a "right" tool exists. But at the end of this essay, I offer a few tentative thoughts about why scenario analysis-a strategic planning tool first developed in the context of military planning following World War II-might be one alternative worth considering.
在公共政策领域,正式的成本效益分析最实质性和深入的经验主要出现在美国联邦环境法规的背景下。这些经验在合成生物学领域有许多重要的教训。事实上,决策者使用正式的 CBA 来评估环境法规时出现的许多危险和陷阱似乎也很可能出现在合成生物学的背景下,有时是以特别令人不安的形式出现。不幸的是,虽然在许多情况下,这些问题可能指向拒绝将正式的 CBA 应用于合成生物学,但从环境法规中获得的经验在确定替代决策工具方面帮助不大。因为在合成生物学背景下产生的决策与关于环境法规的决策具有根本不同的结构,所以该背景下最有用的替代方案不容易映射到这个新的背景。在寻找决策工具时,我们不应该寻找一种适用于所有公共政策领域的单一“银弹”,这可能是普遍正确的。也许,不同种类的决策需要不同的工具。即使在合成生物学领域,这也可能是正确的。我不完全确定对于合成生物学应用来说,“正确”的工具是什么,甚至是否存在“正确”的工具。但在本文的最后,我提出了一些关于为什么情景分析(一种在第二次世界大战后军事规划背景下首先开发的战略规划工具)可能是一种值得考虑的替代方案的初步想法。