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SCC-IRG Track 2: Building Smart Community Capacity

SCC-IRG 第 2 轨道：建设智能社区能力

基本信息

批准号：
1951818
负责人：
Elizabeth DiSalvo
金额：
$ 149.99万
依托单位：
Georgia Tech Research Corporation
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-10-01 至 2024-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1951818&HistoricalAwards=false
关键词：
SCC IRG Track Building Smart

项目摘要

This project is developing an understanding of how minority communities can more fully participate in the design and use of process, practices, and tools for preparing and analyzing data, to open up pathways to data literacy and civic engagement. The research team members are experts in computing, design, and education. The project employs members of minority communities to conduct data work for a broad portfolio of clients that have need for contextualized data work. The project provides an educational but real-world setting to learn, investigate and evaluate data process, practices, and tools. These efforts can help local and national government organization develop robust and democratic approaches to data that serve the diversity of their citizens. They also provide an ideal means to leverage such work to develop new pathways for minority community members to become literate with data.The approaches and methods in this project include participatory design to study and develop data systems that extend the reach of computing to new communities and to move from a goal of computational thinking to a more powerful notion of computational empowerment. The project also uses ethnographic methods in minority communities to identify needs for computational data tools that further these communities’ digital and civic literacy. Outcomes will include a searchable catalog of data work tools and a framework for the design of new tools. Through the design and deployment of different data learning pathways, theories of communities of practice will be improved, to identify how situated learning can be purposefully structured to move young people who are underrepresented in computing from entry level peripheral participation with computing to a fuller participation in both data science and civic domains.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.

该项目旨在了解少数群体社区如何能够更充分地参与数据准备和分析过程、实践和工具的设计和使用，为数据扫盲和公民参与开辟道路。研究小组成员是计算、设计和教育方面的专家。该项目雇用少数群体成员为需要背景化数据工作的广泛客户进行数据工作。该项目提供了一个教育性但真实的环境来学习，调查和评估数据处理，实践和工具。这些努力可以帮助地方和国家政府组织制定强有力的民主数据方法，为其公民的多样性服务。他们还提供了一个理想的手段，利用这种工作，开发新的途径，少数民族社区成员成为识字与数据，在这个项目中的途径和方法，包括参与式设计，研究和开发数据系统，扩大计算的影响到新的社区，并从计算思维的目标，以一个更强大的概念，计算授权。该项目还在少数民族社区使用人种学方法，以确定对促进这些社区数字和公民素养的计算数据工具的需求。成果将包括一个可搜索的数据工作工具目录和一个设计新工具的框架。通过设计和部署不同的数据学习途径，实践社区的理论将得到改进，旨在确定如何有目的地构建情境学习，以使在计算领域代表性不足的年轻人从入门级外围设备参与到数据科学和公民领域的更充分参与。该奖项反映了NSF的法定使命，并被认为值得通过以下方式获得支持：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。

项目成果

期刊论文数量（4）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Understanding civic and non-profit data through a custom data lifecycle

通过自定义数据生命周期了解公民和非营利数据

DOI：
发表时间：
2022
期刊：
Investigating Data Work Across Domains: New Perspectives on the Work of Creating Data workshop at CHI 2022
影响因子：
0
作者：
Rothschild, A.;DiSalvo, C.;Wooten, A.;DiSalvo, B.
通讯作者：
DiSalvo, B.

From Data Work to Data Science: Getting Past the Gatekeepers

从数据工作到数据科学：越过把关人

DOI：
10.1145/3568812.3603468
发表时间：
2023
期刊：
ACM
影响因子：
0
作者：
Schenck, Lara L.;DiSalvo, Betsy
通讯作者：
DiSalvo, Betsy

Exploring Approaches to Data Literacy Through a Critical Race Theory Perspective

通过批判种族理论的视角探索数据素养的方法

DOI：
10.1145/3411764.3445141
发表时间：
2021
期刊：
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
影响因子：
0
作者：
Johnson, Britney;Rydal Shapiro, Ben;DiSalvo, Betsy;Rothschild, Annabel;DiSalvo, Carl
通讯作者：
DiSalvo, Carl

Towards fair and pro-social employment of digital pieceworkers for sourcing machine learning training data

DOI：
10.1145/3491101.3516384
发表时间：
2022-04
期刊：
CHI Conference on Human Factors in Computing Systems Extended Abstracts
影响因子：
0
作者：
Annabel Rothschild;J. Booker;Christa Davoll;Jessica Hill;Venise Ivey;C. Disalvo;B. Shapiro;Betsy Disalvo
通讯作者：
Annabel Rothschild;J. Booker;Christa Davoll;Jessica Hill;Venise Ivey;C. Disalvo;B. Shapiro;Betsy Disalvo