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

该项目的主要目标是开发所需的理论和设计，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。该方法包括多地点的人种学实地考察，数据驱动技术的设计，以及创建一个理论框架，为农村人口的系统开发提供信息。现有的研究表明，由于城市居民往往推动的快速社会经济变化，农村居民感到被落在后面并被边缘化。该项目旨在超越农村地区与城市地区相比所面临的挑战，例如缺乏宽带接入。相反，它建立在这样一种信念的基础上：农村成员的知识工作被低估了，为使人们看到农村人口的创新知识和根深蒂固的价值观而进行的研究可以证明对整个用户有益。 该项目的主题自然支持了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，创建吸引参与和理解农村活动的外展计划，并将创造的技术传播到农村和非农村地区。这项工作旨在建立一个行动研究议程，调查，概念化，支持农村和城市知识和价值观的交叉。这个CAREER项目由三个相互关联的部分组成：（1）识别农村人口的专业知识和价值观：研究人员将进行多地点的民族志研究，以确定两个亚文化中农村人口当前的数据驱动实践和挑战：小农和户外休闲者。(2)反思技术的设计和评估：在多地点人种学研究结果的范围内，这一链将采用与农村和非农村成员的参与式设计活动，以迭代方式创建数据驱动的设计。这些设计将借鉴“真实性设计方法”，通过研究人员过去的亚文化工作。 (3)理论框架的发展：综合两个亚文化的前两个方面的研究结果，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人员谁设计的不同人群的专业知识分布是不平等的，价值观可能会发生冲突。这个奖项反映了NSF的法定使命，并已被认为是值得通过评估使用基金会的智力价值和更广泛的影响审查标准的支持。

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.