算法成功的社会构建:在海洋保护规划中的良好科学和政治可行性之间
1Department of the History of Science, Harvard University, Cambridge, MA, USA. plukacz@g.harvard.edu.
History and philosophy of the life sciences
|October 9, 2025
概括
像MARXAN这样的算法决策支持软件被用于大堡礁的重新划分. 然而,民主审议,而不是算法客观性,推动了保护政策.
科学领域:
- 保护生物学 保护生物学
- 科学的历史科学的历史.
- 计算机的历史 计算机的历史
背景情况:
- 对非科学保护区选址的批评出现在20世纪后期.
- 保护从业者寻求保护区设计的科学基础.
- 研究了决策支持系统中的优化算法,以平衡各种利益.
研究的目的:
- 为了在一个大规模的保护政策项目中重建马尔克桑的历史用途.
- 分析MARXAN在大堡礁再划分中的作用 (1998-2004).
- 研究算法工具与政策成果之间的相互作用.
主要方法:
- 整合环境历史,计算历史和科学历史的历史重建.
- 分析MARXAN软件的第一个主要政策应用.
- 检查围绕政策倡议成功的叙述.
主要成果:
- 马尔克森被用于澳大利亚大堡礁的重新划分.
- 海洋保护政策的成功归功于民主审议.
- 算法客观性不是该政策被认为成功的主要驱动因素.
结论:
- 在大堡礁案中应用MARXAN突显了人类代理在算法决策中的重要性.
- 致力于民主审议,而不是仅仅是算法工具,支了政策的成功.
- 这些发现挑战了算法决定论,强调了科学建议的社会政治背景.
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