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

CAREER: Integrating a Data-Driven Approach with Technologies for Sharing Rural Knowledge and Values
职业:将数据驱动的方法与技术相结合,共享农村知识和价值观
批准号:
1845964
负责人:
Norman Su
金额:
$54.99万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-02-01 至 2022-01-31

项目摘要

项目成果

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中文摘要
翻译
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田野调查、数据驱动技术的设计以及为农村人口系统的发展提供信息的理论框架的建立。现有研究表明,由于经常由城市居民推动的快速社会经济变化,农村居民感到被落在了后面,被边缘化了。该项目旨在超越与城市地区相比,在农村地区生活的挑战,如缺乏宽带接入。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,而且让农村人口的创新知识和根深蒂固的价值观变得可见的研究可以证明对整个用户有利。这一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吸引农村活动的参与和理解的外展计划,并分发创造的技术来连接农村和非农村地区。这项工作旨在建立一个行动研究议程,调查、概念化和支持农村和城市知识和价值观的交集。这一职业项目包括三个相互关联的方面:(1)确定农村人口中的专业知识和价值观:研究人员将进行多地点的人种学研究,以确定当前农村人口在两种亚文化中以数据为导向的做法和挑战:小农和户外娱乐者。(2)反思性技术的设计和评估:在多地点民族志调查结果的范围内,该股将利用农村和非农村成员的参与性设计活动,反复创建数据驱动的设计。这些设计将借鉴研究人员过去在亚文化领域所做的工作所形成的“真实性设计方法”。(3)理论框架的发展:国际和平研究所将综合关于两种亚文化的前两个方面的研究结果,制定一个可转让的理论框架,概述设计分享知识和价值的数据驱动技术的战略。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为不同人群设计的人机交互研究人员和从业者,在这些人群中,专业知识的分配不平等,价值观可能会发生冲突。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
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.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
What does AI mean for smallholder farmers?: a proposal for farmer-centered AI research
人工智能对小农意味着什么?:以农民为中心的人工智能研究提案
DOI: 10.1145/3468004
发表时间: 2021
期刊: Interactions
影响因子: --
作者: [Heldreth, Courtney, Akrong, Diana, Holbrook, Jess, Su, Norman Makoto]
通讯作者: Su, Norman Makoto
Feeding the World with Data: Visions of Data-Driven Farming
用数据养活世界:数据驱动农业的愿景
DOI: 10.1145/3322276.3322382
发表时间: 2019
期刊: Proceedings of the 2019 on Designing Interactive Systems Conference
影响因子: --
作者: [Steup, Rosemary, Dombrowski, Lynn, Su, Norman Makoto]
通讯作者: Su, Norman Makoto
Introduction: Performing Rurality with Computing
简介:用计算演绎乡村
DOI: 10.1145/3461832
发表时间: 2021
期刊: ACM Transactions on Computer-Human Interaction
影响因子: 3.7
作者: [Makoto Su, Norman, Hardy, Jean, Vigil-Hayes, Morgan, Veinot, Tiffany, Comber, Rob]
通讯作者: Comber, Rob
CAREER: Integrating a Data-Driven Approach with Technologies for Sharing Rural Knowledge and Values
  • 批准号:
    2208631
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $54.99万
  • 财政年份:
    2021
  • 负责人:
    Norman Su
  • 依托单位:
海外基金