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CHS: Small: Computer-supported Collective Deliberation for the Future of Work

CHS：小型：计算机支持的未来工作集体审议

基本信息

批准号：
2008450
负责人：
Matthew Easterday
金额：
$ 49.99万
依托单位：
Northwestern University
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=2008450&HistoricalAwards=false
关键词：
CHS Small Computer supported Collective

项目摘要

This research project will develop and test theoretical design principles for deliberation platforms and working software to support large-group deliberation. A new genre of socio-technical system that helps workplace teams deliberate on open-ended problems, digital assemblies, can increase the quality of decisions and consensus in multi-stakeholder decision making. Traditionally, many of the most important decisions about local government policy, or organization strategy, or interdisciplinary research projects are made by single individuals such as a CEO, mayor, or principal investigator. But taking into account the perspectives of multiple stakeholders can produce better decisions and greater compliance needed to implement decisions. In the last few decades, research on deliberation has produced rigorous models such as deliberative polls that involve large numbers of people making policy decisions, however, these techniques are slow and expensive, making these models too costly for most real-world workplaces. Deliberation can become more feasible through recent advances in technologies supporting online communities, crowdsourcing, and social media. To do so, technologies must overcome the challenges inherent in large group discussion such as motivating participation, capturing and combining ideas, decision making and information seekingTo advance broadening participation, this research will partner with an organizational change management team working with multiple stakeholders to improve the university experience for first-generation college students and with a local city government to gain the perspective of multiple stakeholders across a diverse city to achieve its 2050 environmental sustainability goals. Among the primary methods it will develop are: (1) ranked-choice voting to dynamically form groups based on participant interests, (2) deliberation canvases for capturing and combining ideas that advance beyond the limitations of traditional opinion polls, and (3) issue-tracking to support iteration between decision-making discussion and information seeking. A new model will provide a better understanding of how large groups can use computing technology to better develop solutions and build commitment necessary for multi-stakeholder decision making in the future of work. In answering this question, the model opens the black box and the fundamental role of coordination and learning mechanisms in this process, contributing to the fields of social computing, learning sciences, and political science.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.

该研究项目将开发和测试审议平台和工作软件的理论设计原则，以支持大群体审议。一种新型的社会技术系统，可以帮助工作场所的团队审议开放式问题，数字组装，可以提高决策的质量和多利益相关者决策的共识。传统上，许多关于地方政府政策、组织战略或跨学科研究项目的最重要决策都是由首席执行官、市长或首席研究员等个人做出的。但是，考虑到多个利益相关者的观点可以产生更好的决策和执行决策所需的更大的合规性。在过去的几十年里，对审议的研究已经产生了严格的模型，如审议民意调查，涉及大量的人做出政策决定，然而，这些技术是缓慢和昂贵的，使这些模型过于昂贵的大多数现实世界的工作场所。通过支持在线社区、众包和社交媒体的最新技术进步，审议变得更加可行。要做到这一点，技术必须克服大型小组讨论中固有的挑战，如激励参与，捕捉和组合想法，决策和信息搜索。这项研究将与一个组织变革管理团队合作，与多个利益相关者合作，以改善大学的经验，首先-这是一个由新一代大学生和当地市政府共同参与的项目，旨在获得一个多元化城市的多个利益相关者的观点，以实现其2050年的环境可持续发展目标。它将开发的主要方法包括：（1）排名选择投票，根据参与者的兴趣动态地形成团体，（2）审议画布，用于捕获和组合超越传统民意调查限制的想法，以及（3）问题跟踪，以支持决策讨论和信息寻求之间的迭代。一个新模型将更好地了解大型团体如何使用计算技术来更好地开发解决方案并建立未来工作中多利益相关者决策所需的承诺。在回答这一问题时，该模型打开了黑匣子，以及协调和学习机制在这一过程中的基本作用，为社会计算、学习科学和政治科学领域做出了贡献。该奖项反映了NSF的法定使命，并通过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，被认为值得支持。