The Scientific Data Revolution

技术发展使科学能够收集或产生大量复杂的数据集，这些数据集无法通过传统方法进行分析或理解。取而代之的是，新的计算密集型的可视化和仿真方法已经被开发出来，用于分析数据和测试模型和理论。这些发展对包括科学哲学家在内的研究人员用来分析科学的传统概念和二分法提出了质疑。它们还对测试和确认的标准描述提出了质疑。在这项专业发展奖学金下，Frederick Suppe博士专注于分析通过这些新方法操纵和使用科学数据的核心解释性论点。他作为一个构造地质学研究小组的参与者和观察员，正在研究这些方法。科学家们被教导进行实证研究，主要是通过作为研究生的学徒。在该奖学金的培训部分，Suppe博士将在地球和行星结构实验室度过一年，在世界领先的结构地质学家之一的指导下，作为参与者和观察者进行学徒。他的实验室使用新的计算机数据方法，因为它经常产生地球和行星结构地质学的重大进展，例如发现金星的构造结构。

Technological developments enable science to gather or produce massively complex data sets which cannot be analyzed or understood via traditional methods. Instead, new computationally intensive methods of visualization and simulation have been developed for the analysis of data and the testing of models and theories. These developments call into question traditional concepts and dichotomies used by those researchers, including philosophers of science, to analyze science. They also call into question standard accounts of testing and confirmation. Under this professional development fellowship, Dr. Frederick Suppe is focusing on analyzing the sorts of interpretive arguments that lie at the heart of manipulating and using scientific data via these new methods. He is studying these methods as a participant- observer on a research team in structural geology. Scientists are taught to do empirical research largely through apprenticeship as graduate students. In the training component of this fellowship, Dr. Suppe is spending a year in an Earth and planetary structural lab undergoing such an apprenticeship as a participant-observer mentored by one of the world's leading structural geologists. His lab uses the new computer data methods as it regularly produces major developments in Earth and planetary structural geology such as discovering the tectonic structure of Venus.