Citizens as More Than Sensors, Citizens as Agents for Change.
Citizens as More Than Sensors, Citizens as Agents for Change.
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公民不仅仅是传感器，更是变革的推动者。
DOI：
10.1145/3366424.3382122
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Savage, Saiph
中科院分区：
文献类型：
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作者：
Savage, Saiph
我们如何利用公民在社交媒体上的知识、背景和热情，让他们不仅仅是感应者，而是变革的推动者？需要什么才能在社交媒体上协调公民执行雄心勃勃的目标，例如，创建新的基础设施来支持视障人士的室内导航？阻碍这种大规模互动的主要挑战是，公民拥有不同的知识，通常缺乏完成实现集体目标所需工作所需的技能。为了解决这个问题，我引入了一种由智能公民块整合的新颖架构，它使用机器学习：1)帮助社交媒体上的公民在执行时建立他们完成与大规模集体努力相关的工作所需的技能；2)使公民能够发展他们的创造力和企业家精神，提出创造性的解决方案，以建设更好的社会。在这次演讲中，我将介绍案例研究，展示这一拟议的架构如何在一系列领域导致在社交媒体上组织的集体行动(例如，请参见图1)。与之前主要关注将公民作为简单传感器的工作不同，这项研究推动建立新的智能系统，使之能够协调社交媒体上的集体行动，以创造更好的社会。
How might we tap into citizens’ knowledge, context, and passion on social media to have them be much more than just sensors, but rather, agents of change? What would it take to be able to orchestrate citizens on social media to execute ambitious goals, e.g., creating new infrastructure to support the indoor navigation of the visually impaired? The main challenge that is blocking these type of interactions at scale is that citizens have heterogeneous knowledge and usually lack the skills needed to complete the work needed to reach the collective goals. To address this problem, I introduce a novel architecture conformed of Intelligent Civic Blocks that use machine learning to: 1) help citizens on social media to build at execution time the skills they need to complete work associated with the large-scale collective effort; 2) empower citizens to develop their creativity and entrepreneurship to propose creative solutions to build improved societies. In this talk, I will present case-studies showcasing how this proposed architecture can lead to collective action organized on social media in a range of areas (see Fig. 1 for an example). In difference to prior work that focused primarily on using citizens as simple sensors, this research pushes towards new intelligent systems that enable the orchestration of collective action on social media to create improved societies.