CAREER: Integrating a Data-Driven Approach with Technologies for Sharing Rural Knowledge and Values

该项目的主要目标是发展所需的理论和设计，为数据驱动技术的发展提供信息，以支持和分享美国农村的知识和价值观。该方法包括多地点人种学田野调查、数据驱动技术的设计以及为农村人口系统开发提供信息的理论框架的创建。现有研究表明，由于往往由城市居民推动的快速社会经济变化，农村居民感到被抛弃和边缘化。该项目旨在将农村地区的生活挑战（如缺乏宽带接入）与城市地区进行对比。相反，它建立在这样一种信念之上，即农村成员的知识工作被低估了，通过研究使农村人口的创新知识和根深蒂固的价值观显现出来，可以证明对整个用户是有益的。这个教师早期职业发展项目的主题自然支持向农村社区和学生提供STEM研究和教育的计划，与当地政府机构和组织合作，创建外展项目，吸引参与和了解农村活动，并分发创造的技术，以架起农村和非农村地区的桥梁。这项工作旨在建立一个行动研究议程，调查、概念化和支持农村和城市知识和价值观的交叉。该项目由三个相互关联的部分组成：(1)确定农村人口的专业知识和价值：研究人员将进行多地点人种学研究，以确定两种亚文化（小农和户外休闲主义者）中农村人口当前的数据驱动实践和挑战。(2)设计和评估反思技术：根据多地点民族志的发现，这一链将采用与农村和非农村成员共同参与的设计活动，以迭代地创建数据驱动的设计。这些设计将借鉴“真实性设计方法”，该方法是通过研究人员过去对亚文化的研究而发展起来的。(3)理论框架的发展：综合前两股对两种亚文化的研究结果，PI将开发一个可转移的理论框架，概述设计数据驱动技术以共享知识和价值观的策略。这一框架将为针对农村人口设计技术提供指导。这项工作的结果将有助于人机交互研究人员和从业者为不同的人群设计，这些人群的专业知识分布不平等，价值观可能发生冲突。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The primary goal of this project is to develop the theories and designs needed to inform the development of data-driven technologies to support and share the knowledge and values of rural America. The methodology includes multi-sited ethnographic fieldwork, design of data-driven technologies, and creation of a theoretical framework to inform development of systems for rural populations. Existing research shows that rural residents feel left behind and marginalized due to rapid socio-economic changes often driven by urban dwellers. This project aims to move beyond contrasting the challenges of living in rural areas, such as lack of broadband access, in comparison with urban areas. Rather, it builds on the conviction that knowledge work by rural members is undervalued, and that research to make visible the innovative knowledge and deeply-held values of rural populations can prove beneficial for users as a whole. The topic of this Faculty Early Career Development project naturally supports the plan to deliver STEM research and education to rural communities and students, cooperate with local government agencies and organizations to create outreach programs which attract participation and understanding of rural activities, and distribute created technologies to bridge rural and non-rural areas.This work seeks to establish an action research agenda investigating, conceptualizing, and supporting the intersection of rural and urban knowledge and values. This CAREER project consists of three interlocking strands: (1) Identification of expertise and values in rural populations: The researcher will conduct multi-sited ethnographic studies to identify the current data-driven practices and challenges of rural populations in two subcultures: small farmers and outdoor recreationalists. (2) Design and evaluation of reflective technologies: Scoped by findings of the multi-sited ethnography, this strand will employ participatory design activities with rural and non-rural members to iteratively create data-driven designs. The designs will draw upon the "Design Approach for Authenticity" developed via the researcher's past work on subcultures. (3) Development of theoretical frameworks: Synthesizing findings from the first two strands on both subcultures, the PI will develop a transferable theoretical framework outlining strategies for designing data-driven technologies for sharing knowledge and values. This framework will offer guidelines on designing technologies with rural populations. The results of this work will assist human-computer interaction researchers and practitioners who design for diverse populations where distribution of expertise is unequal and values may clash.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.