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以计算机为基础的经济发展的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，工业和大学之间的合作，以推动他们的制造业卓越的传统进入下一代。该研究将为支持自下而上的创新程序和紧急结果的社会技术干预措施的发展提供信息。这些影响将通过对数据收集和分析技术的最新研究来了解。该项目强调被边缘化或被排斥的利益攸关方，这将使人们深入了解如何确保这种系统在进程的所有阶段最大限度地发挥利益攸关方的作用。 研究成果包括确定可转让的做法、政策和框架。这些将有助于如何在当代经济背景下追求创新议程的可行策略，其特征是信息，资本和人才的流动性;新兴的工作形式;和当代社会技术基础设施。这项研究还将有助于研究人员更好地了解区域范围内利益攸关方的需求，特别关注传统上服务不足的人群。该项目将包括深入的民族志研究和与以下两个群体的合作：（1）那些站在构思，设计和实施晶圆厂城市，物联网城市和智能区的技术城市实验的最前沿的人;（2）服务不足和受排斥的人群，最直接受到这些技术进步的影响。通过与社区利益攸关方进行社会技术干预，研究推动了他们扩大参与的承诺。 具体而言，本研究将通过澄清一个城市地区自身的区域优势来建立自我效能感。该项目将通过以下方式实现这一目标：（1）技能建设，包括利用数字制造等新技术建设技能;（2）发展社区集体行动的能力，支持民主和自决;（3）区域知识生产和传播，包括成功的社区模式、行动和沟通策略;（4）包括不同的参与者，尽管他们有不同的历史，遗产，愿望和关注，也就是说，在利用信息技术建设更美好的未来方面培养社区意识。该奖项反映了NSF的法定使命，并通过评估被认为值得支持使用基金会的知识价值和更广泛的影响审查标准。

项目成果

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
• 期刊: American Association of Geographers
• 作者: Heidi Biggs

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
• 期刊: ACM DIS2023
• 作者: Biggs, Heidi

Advancing Non-Linear Design Thinking

推进非线性设计思维

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

Collective Healing to Support Design Futures: Building Community and Exploring Methods

支持设计未来的集体治愈：建立社区和探索方法

• DOI: 10.1145/3544549.3573810
• 发表时间: 2023
• 期刊: ACM CHI2023
• 作者: Wieczorek, Catherine;Biggs, Heidi;Jack, Margaret C;Forlano, Laura;Bardzell, Shaowen
• 通讯作者: Bardzell, Shaowen

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
• 期刊: ACM DIS2023
• 作者: Biggs, Heidi;Marcotte, Alexa;Bardzell, Shaowen
• 通讯作者: Bardzell, Shaowen