相关实验视频
Updated: Jul 13, 2025

12:44
Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
8.1K
概括
数据集拓,一个数据的数据拓.
科学领域:
- 数据科学数据科学数据科学
- 公民技术 公民技术
- 环境健康 环境健康
背景情况:
- 公民科学项目为宣传产生了有价值的数据.
- 数据集在公民倡导中的有效性尚未完全被理解.
- 现有的研究往往忽视了影响其使用的内在数据质量.
研究的目的:
- 引入和探索"数据拓"概念,作为公民倡导数据集实用性的关键因素.
- 分析数据拓如何塑造数据的社会,文化和政治可能性.
- 了解数据拓对环境健康和公民科学项目的影响.
主要方法:
- 来自一个以环境健康为重点的公民科学项目.
- 分析数据集的形式特质,将数据收集者的意图与可计算性联系起来.
- 检查这些品质如何构成数值论证和社会技术想象.
主要成果:
- 数据集的拓揭示了"规模上的非典型性"的模式,而不是共享暴露或单一的健康影响.
- 这种拓通过抵制主流的流行病学和毒理学框架,使监管行动的论点复杂化.
- 数据的结构使得公民科学家在监管环境中更难,而不是更容易有效地倡导.
结论:
- 数据拓是一个被低估的品质,它对数据集对公民倡导的力量产生重大影响.
- 了解数据拓对于在公民科学和监管环境中设计和使用数据集至关重要.
- 在评估数据集对社会和政治变革的潜力时,未来的研究应该考虑数据拓.
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