|
所在平台: Coursera |
课程主页: https://www.coursera.org/learn/data-literacy-what-is-it-and-why-does-it-matter
课程评论：没有评论
课程名称：数据素养 – 它是什么，为什么重要？ 课程概述：您可能已经知道，数据并不是中立的。我们的价值观和假设受到我们周围数据的影响——我们创造的数据、我们收集的数据以及我们互相分享的数据。经济需求、社会结构或算法偏见会对我们收集和使用数据的方式产生深远的影响，通常结果是世界不平等加剧。数据还改变了我们的互动方式，塑造了我们的思维、情感、偏好和行动，决定了我们可以接触到什么，以及无法接触到什么。它使最佳实践和改善生活的技术得以全球传播，同时也传播了不信任和极端主义。这就是为什么数据素养如此重要。 数据素养的一个关键原则是提高对数据驱动技术风险和机遇的认识，并保持对其后果的最新了解。本课程从三个视角探讨数据素养：个人生活中的数据、社会中的数据，以及知识生产中的数据。课程的目标有三：1. 扩展您识别、理解和解释数字技术在日常生活中多重角色的技能和能力；2. 使您能够判断数据驱动技术何时为人们的生活增值，何时利用人类脆弱性或损害公域；3. 培养对数据驱动技术如何塑造知识生产的更深刻理解，以及如何将其与人类真正的需求和价值观重新对齐。 本课程由Erasmus+资助，并由4EU+大学联盟开发，包括捷克查尔斯大学、索邦大学、哥本哈根大学、米兰大学和华沙大学。 课程大纲： 1. 模块名称：您的生活中的数据 描述：如果您使用Google并查看您的Google仪表板，您可能会对该公司收集的您在线活动的数据感到惊讶。想想其他互联网服务、社交媒体网站和可能记录您健康、行为和倾向的数据库。在此模块中，我们将探讨用户跟踪和信息收集，定义个人数据，并讨论管理个人数据披露的限制。随后，我们将介绍数据保护和处理的法律框架。 2. 模块名称：网络数据、真相与民主 描述：在这一模块中，我们扩展了第1模块，探讨网络数据和算法如何影响我们的世界观。从最佳实践和生活改善技术的全球传播，到仇恨和极端主义的传播，我们追踪数据驱动技术为人们的生活增值和利用人类脆弱性的机制。 3. 模块名称：数据驱动的知识生产 描述：大数据和新型计算方法革命性地改变了我们的知识创造方式。我们将通过实例展示这种知识的应用及其对人类未来的影响。我们将关注人工智能研究、计算社会科学、机器学习和教育，通过这些实例，努力培养对数据驱动技术如何塑造社会结构、增强人类能力以及改善我们对地球管理的更深刻理解。
Name:Your Life as Data
Description:If you use Google and have a look at your Google Dashboard you will probably be amazed by how much data this company has collected about your online activities. Now think about all the other internet services, social media sites, and databases that may have a file on you, your health, your actions and inclinations. In this module, we will explore user tracking and information harvesting, define personal data and discuss the limits in managing your personal data disclosure. Consequently, we will present the legal framework for data protection and processing.
Name:Networked Data, Truth and Democracy
Description:In this module we expand on Module 1 by looking at how networked data and algorithms affect the way we see the world. From global dissemination of best practices and life improving technologies to the spread of hate and radicalization, we trace the mechanisms by which data-driven technologies can add value to people’s lives, and how they can exploit human vulnerabilities.
Name:Data-driven Knowledge Production
Description:Big data and novel computational methods have revolutionized the way we create knowledge. We will show by example how this knowledge is used and what it implies for the future of humanity. We look at AI-research, computational social science, machine learning and education, and through these examples, we will try to cultivate a deeper understanding of how data-driven technologies are shaping the social fabric, how they augment human capabilities, and may improve our stewardship of spaceship earth.
You might already know that data is not neutral. Our values and assumptions are influenced by the data surrounding us - the data we create, the data we collect, and the data we share with each other. Economic needs, social structures, or algorithmic biases can have profound consequences for the way we collect and use data. Most often, the result is an increase of inequity in the world. Data also changes the way we interact. It shapes our thoughts, our feelings, our preferences and actions. It determines what we have access to, and what not. It enables global dissemination of best practices and life improving technologies, as well as the spread of mistrust and radicalization. This is why data literacy matters. A key principle of data literacy is to have a heightened awareness of the risks and opportunities of data-driven technologies and to stay up-to-date with their consequences. In this course, we view data literacy from three perspectives: Data in personal life, data in society, and data in knowledge production. The aim is threefold: 1. To expand your skills and abilities to identify, understand, and interpret the many roles of digital technologies in daily life. 2. To enable you to discern when data-driven technologies add value to people’s lives, and when they exploit human vulnerabilities or deplete the commons. 3. To cultivate a deeper understanding of how data-driven technologies are shaping knowledge production and how they may be realigned with real human needs and values. The course is funded by Erasmus+ and developed by the 4EU+ University Alliance including Charles University (Univerzita Karlova), Sorbonne Unviersity (Sorbonne Université), University of Copenhagen (Københavns Universitet), University of Milan (Università degli studi di Milano), and University of Warsaw (Uniwersytet Warszawski).
