Indigenous and decolonial quantitative methodologies

尽管呼吁科学非殖民化和本土化，但几乎所有关于非殖民化方法的工作都是定性研究。与此同时，获得STEM领域博士学位的土著人数创下了纪录。我们的土著研究团队将把非殖民化方法论的原则引入STEM中使用的定量方法，从环境监测到基因研究。项目团队的特点是研究人员在土著宇宙学和方法论（研究方法、伦理和价值观）以及科学定量研究方法（研究工具和技术）方面具有跨学科的流利性。通过定期的虚拟会议和学生实验室交流，我们将使用案例研究方法来分析、修改和测试我们在现有研究项目中经常使用的方法，使它们更符合土著价值观（如谦逊和互惠）、伦理/价值论（如关系优先和土著主权）和土著方法论原则（如讲故事和记忆）。我们预计每个方法或工具的某些方面将保持与我们继承它的方式相似，而其他方面将发生重大变化。例如，Palawa研究人员Maggie Walters展示了如何将数据聚合起来，使它们与土著地理而不是移民国家边界保持一致，从而从根本上改变了研究结果。虽然许多研究人员、政府雇员和公众都致力于寻求真相与和解，但他们和我们的问题是，如何做到这一点？当数据收集、清理和管理与土著宇宙观相一致时，会是什么样子？哪种数据汇总和哪种统计模型最适合土著社区的需要和目标？当引用、测量和分析是非殖民或土著方法的一部分时，会发生什么？我们与加拿大和美国五个由土著居民领导的实验室的合作，不仅将改变我们自己的研究方式，培养一支强大的学生队伍，接受创新而传统的方法训练，而且还将产生一本编辑过的“土著和非殖民化定量方法手册”。实施方法的开放获取协议，教学模块，以便其他人可以在自己的工作中使用我们的创新，以及通过将土著方法纳入我们正在进行的项目和出版物，将土著方法纳入常规科学。

Despite calls to decolonize and Indigenize science, nearly all work on decolonizing methodology has been on qualitative research. At the same time, a record number of Indigenous people are earning PhDs in STEM fields. Our Indigenous research team will bring principles of decolonizing methodologies into quantitative methods used in STEM, from environmental monitoring to genetic research. The project team is characterized by researchers with an interdisciplinary fluency in Indigenous cosmologies and methodologies (research approaches, ethics, and values) as well as scientific quantitative research methods (research tools and techniques).Collaborating through regular virtual meetings and student lab exchanges, we will use a case-study approach to analyze, revise, and test methods that we use regularly in our existing research projects so they have tighter fits with Indigenous values (such as humility and reciprocity), ethics/axiologies (such as relations-first and Indigenous sovereignty) and Indigenous methodological principles (such as storytelling and remembering). We anticipate that some aspects of each method or tool will remain similar to how we have inherited it, while other aspects will change significantly. For example, Palawa researcher Maggie Walters has shown how aggregating data so they align with Indigenous geographies, rather than settler state borders, radically changes research findings. While many researchers, government employees, and members of the public are committed to truth and reconciliation, their question, and ours, is how? What does data collection, cleaning and management look like when it aligns with Indigenous cosmologies? What kind of data aggregation and which statistical models are best suited to Indigenous community needs and goals? What happens to citations, measurement, and analysis when it is part of a decolonial or Indigenous approach?Our collaboration across five Indigenous-led labs in Canada and the United States will not only change how our own research is done and create a strong cohort of students trained in innovative yet traditional methodologies, but will also result in an edited "Handbook of Indigenous and Decolonial Quantitative Methodologies," open-access protocols for conducting methods, teaching modules so others can use our innovations in their own work, and the movement of Indigenous methodologies into normal science through integration into our ongoing projects and publications.