CHS: Medium: Collaborative Research: Regional Experiments for the Future of Work in America

CHS：媒介：合作研究：美国未来工作的区域实验

• 批准号: 2243330
• 负责人: Shaowen Bardzell
• 金额: $ 59万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2024-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2243330&HistoricalAwards=false
• 关键词: CHS; Medium; Collaborative; Research; Regional

This research will provide rich insights into a new line of regional experiments with computer-based economic development in the American Midwest, rooted in collaborations between government, industry, and universities to drive their traditions of manufacturing excellence into the next generation. The research will inform the development of sociotechnical interventions supporting bottom-up innovation procedures and emergent outcomes. Such implications will be informed by cutting edge research on data collection and analysis techniques. The project's emphasis on marginalized or excluded stakeholders will offer insights on how to ensure such systems maximize stakeholder agency at all stages of the process. Research outcomes include the identification of transferable practices, policies, and frameworks. These will contribute actionable tactics on how to pursue innovation agendas in contemporary economic contexts characterized by the mobility of information, capital, and talent; emerging forms of work; and contemporary sociotechnical infrastructures. This research will also contribute methods to help researchers better understand stakeholder needs at the regional scale, with a particular focus on populations that have traditionally been underserved. The project will include in-depth ethnographic research and stakeholder-driven engagements with the following two groups: (1) those who are at the forefront of conceiving, designing and implementing techno-urban experiments of fab cities, Internet of Things cities, and smart zones; (2) underserved and excluded populations, most immediately affected by these technological advances. By conducting sociotechnical interventions with community stakeholders, the research advances their commitments to broaden participation. Specifically, this research will build self-efficacy through the clarification of an urban area's own regional advantage. The project will do so through (1) skill building, including building skills with new technologies such as digital fabrication; (2) developing community's capacities to act in a collective way, supporting democracy and self-determination; (3) regional knowledge production and dissemination, including successful community models, actions, and communication tactics; and (4) including diverse actors in spite of their different histories, legacies, aspirations, and concerns, that is, fostering a sense of community in using information technology to build a better future.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.

这项研究将为美国中西部基于计算机的经济发展进行一系列新的区域实验提供丰富的见解，这些实验植根于政府、工业界和大学之间的合作，将其卓越的制造传统传递给下一代。该研究将为支持自下而上的创新程序和新兴成果的社会技术干预措施的发展提供信息。这些影响将通过数据收集和分析技术的前沿研究来体现。该项目对边缘化或被排斥的利益相关者的重视将为如何确保此类系统在流程的各个阶段最大限度地发挥利益相关者的作用提供见解。 研究成果包括确定可转移的实践、政策和框架。这些将为如何在以信息、资本和人才流动为特征的当代经济背景下追求创新议程提供可行的策略；新兴的工作形式；和当代社会技术基础设施。这项研究还将提供方法，帮助研究人员更好地了解区域范围内利益相关者的需求，特别关注传统上服务不足的人群。该项目将包括深入的人种学研究和利益相关者驱动的与以下两个群体的互动：（1）那些处于构思、设计和实施制造城市、物联网城市和智能城市技术城市实验前沿的人们。区域； (2) 服务不足和被排斥的人群，最直接地受到这些技术进步的影响。通过与社区利益相关者进行社会技术干预，该研究推进了他们扩大参与的承诺。 具体来说，本研究将通过明确城市地区自身的区域优势来构建自我效能感。该项目将通过以下方式实现这一目标：(1) 技能培养，包括利用数字制造等新技术培养技能； (2) 发展社区以集体方式行动、支持民主和自决的能力； (3) 区域知识生产和传播，包括成功的社区模式、行动和传播策略； (4) 包容不同的参与者，尽管他们有不同的历史、遗产、愿望和关注点，即培养利用信息技术建设更美好未来的社区意识。该奖项反映了 NSF 的法定使命，并被认为是值得的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来获得支持。

项目成果

Designing Posthuman Data: Mapping Relations Between Bodies, Land and Data

设计后人类数据：映射身体、土地和数据之间的关系

• DOI: 10.1145/3563703.3593062
• 发表时间: 2023-07
• 期刊: ACM DIS2023
• 作者: Biggs; Heidi
• 通讯作者: Heidi

GAN to the Mississippi: Generative Adversarial Networks for Posthuman Relations to Place

GAN 到密西西比河：后人类关系的生成对抗网络

• 发表时间: 2023-03
• 期刊: American Association of Geographers
• 作者: Heidi Biggs

TikTok as a Stage: Performing Rural #farmqueer Utopias on TikTok

TikTok作为舞台：演绎乡村

• DOI: 10.1145/3563657.3596038
• 发表时间: 2023-07
• 期刊: ACM DIS2023
• 作者: Biggs, Heidi;Marcotte, Alexa;Bardzell, Shaowen
• 通讯作者: Bardzell, Shaowen

Advancing Non-Linear Design Thinking

推进非线性设计思维

• 发表时间: 2023-06
• 期刊: LIMITS
• 作者: Shunying An Blevi;Maryam Heidaripour;Shaowen Bardzell;Eli Blevis
• 通讯作者: Eli Blevis

Redlining Maps and Terrains of Sustainability: Interdisciplinary Mapping of Racialized Redlining to Present-Day Sustainability Agendas in HCI

可持续发展的红线地图和地形：种族化红线与当今 HCI 可持续发展议程的跨学科映射

• 发表时间: 2023-04
• 期刊: Proceedings of the 2023 Conference on Human Factors in Computing Systems (CHI 2023
• 作者: Heidi Biggs; Shellye Suttles
• 通讯作者: Shellye Suttles