Collaborative Research: Diversifying Human-Centered Data Science through the Research and Design of Ethical Games

协作研究：通过道德博弈的研究和设计使以人为本的数据科学多样化

基本信息

批准号：
2127867
负责人：
Cecilia Aragon
金额：
$ 8.97万
依托单位：
University of Washington
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-12-01 至 2023-11-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2127867&HistoricalAwards=false
关键词：
Collaborative Research Diversifying Human Centered

项目摘要

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2). Tackling the overwhelming issues in data science and machine learning require new ways of training and combining expertise from social science, human-centered design, information studies, statistics, computer science, and related fields. We invite interested undergraduates across disciplines to collaborate on the research and design of a serious game on data ethics issues. In this context, our project studies collaborative learning in groups of peers with conflicting methodological cultures and diverse backgrounds. Participating students will come from two university campuses in different regions of the United States to form a single team of diverse individuals collaborating in a virtual setting. By studying students’ experiences throughout the project, we will increase our understanding of learning through collaboration over time and in relation to their sociocultural histories. An additional artifact of this two-year, interdisciplinary project will be a prototype of an educational game, targeted towards the underrepresented communities and the greater public, that will bring more people into critical conversations about the roles of AI and data science in our society.The primary aim of our research is the production of novel theories in learning sciences regarding collaborative learning in the face of diverse backgrounds and cultural norms. How do students individually and collectively position themselves within data ethics and do these views change over time with increased exposure to technical concepts and norms? How do students reconcile conflicting norms in the design of a single design project? Does the collaborative design of an ethical simulation game facilitate diverse student learning experiences? Our work will be conducted as an ethnographic case study with analysis heavily informed by sociocultural-historical theory. Multiple streams of data will be collected over the course of the project, including observations in the “field,” i.e. of the team meetings (consisting of both audiovisual recordings and researchers’ field notes), informal conversations with participants, products created by the team (such as papers, images, prototypes, etc), brief surveys, and participant interviews. This work aims to contribute new theories on collaborative learning to the body of research in learning sciences as well as serve as a case study for future educational projects situated between disciplines with conflicting cultural norms.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.

该奖项的全部或部分资金来源于《2021 年美国救援计划法案》（公法 117-2），解决数据科学和机器学习领域的重大问题需要新的培训方式并结合社会科学、以人为本的专业知识。设计、信息研究、统计学、计算机科学和相关领域的学生，我们邀请感兴趣的跨学科本科生合作研究和设计一个关于数据伦理问题的严肃游戏。矛盾的参与的学生将来自美国不同地区的两个大学校园，组成一个由不同个体在虚拟环境中合作的团队，通过研究学生在整个项目中的经历，我们将加深对项目的理解。这个为期两年的跨学科项目的另一个成果将是一个教育游戏的原型，该游戏针对的是代表性不足的社区和广大公众，这将使更多的人参与批判。关于角色的对话我们社会中的人工智能和数据科学。我们研究的主要目的是在面对不同背景和文化规范的情况下，提出有关协作学习的学习科学的新颖理论，学生如何在数据伦理中单独和集体地定位自己并做到这些。随着时间的推移，随着对技术概念和规范的了解的增加，学生的观点会发生变化吗？学生如何协调单个设计项目的设计中相互冲突的规范？我们的工作将作为一个多样化的学生学习体验来进行吗？民族志案例研究，分析很大程度上受社会文化历史的影响在项目过程中将收集多个数据流，包括“现场”观察，即团队会议（包括视听记录和研究人员的现场笔记）、与参与者的非正式对话、由团队创建的产品。这项工作旨在为学习科学研究主体贡献关于协作学习的新理论，并作为未来教育的案例研究。处于相互冲突的学科之间的项目该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。