本課程的重心在於探討數據與資訊工具的使用對生活與政治的影響，並思考其所帶來的負面影響與倫理爭議。人工智慧的發展基礎來自於數據，而數據來自於歷史。數據是強大的武器，能改變對世界的認知，但演算法並非中立，反而可能會固化人類社會的缺陷。因此，本課程將介紹基礎的統計學知識，以及R程式語言，並使用台灣選舉與民主化調查(TEDS)所提供的資料，讓修課學生進行實際的操作練習。
本課程不會要求修課同學具有基礎統計的背景，但以提升學生的數位素養為目標，故本課程關於量化研究知識的目標有三：第一、理解模型跟理論之間的關係；第二、用R去跑統計模型；第三、進行資料分析與假設驗證。讓學生一方面從課程中體驗資訊科技的發展所帶來的便捷性，也能反思資訊所帶來的新世代的數位問題。
這門課不探討政治學知識論和方法論上的問題，排斥量化資料分析的同學請勿勉強選修。
The focus of this course is to explore the impact of data and information tools on life and politics, as well as to consider the negative effects and ethical controversies they bring. The development of artificial intelligence is based on data, and data comes from history. Data is a powerful weapon that can change our perception of the world, but algorithms are not neutral and may instead solidify the flaws in human society. Therefore, this course will introduce basic statistical knowledge and the R programming language, and will utilize data provided by the Taiwan Election and Democratization Study (TEDS) for students to engage in practical exercises.
In addition, this course does not require students to have a background in basic statistics but aims to improve students' digital competencies. Therefore, this course has three goals for quantitative research knowledge: first, to understand the relationship between models and theories; second, to practice using R to run a statistic model; third, to perform data analysis and hypothesis verification. On the one hand, students can experience the convenience brought by the development of information technology from the course and reflect on the digital problems of the new generation brought about by information technologies.
By the way, this course does not discuss epistemology and methodology issues of political sciences. Therefore, students who reject quantitative data analysis should not reluctantly take this course.
本課程不會要求修課同學具有基礎統計的背景，但以提升學生的數位素養為目標，故本課程關於量化研究知識的目標有三：第一、理解模型跟理論之間的關係；第二、用R去跑統計模型；第三、進行資料分析與假設驗證。讓學生一方面從課程中體驗資訊科技的發展所帶來的便捷性，也能反思資訊所帶來的新世代的數位問題。
這門課不探討政治學知識論和方法論上的問題，排斥量化資料分析的同學請勿勉強選修。
The focus of this course is to explore the impact of data and information tools on life and politics, as well as to consider the negative effects and ethical controversies they bring. The development of artificial intelligence is based on data, and data comes from history. Data is a powerful weapon that can change our perception of the world, but algorithms are not neutral and may instead solidify the flaws in human society. Therefore, this course will introduce basic statistical knowledge and the R programming language, and will utilize data provided by the Taiwan Election and Democratization Study (TEDS) for students to engage in practical exercises.
In addition, this course does not require students to have a background in basic statistics but aims to improve students' digital competencies. Therefore, this course has three goals for quantitative research knowledge: first, to understand the relationship between models and theories; second, to practice using R to run a statistic model; third, to perform data analysis and hypothesis verification. On the one hand, students can experience the convenience brought by the development of information technology from the course and reflect on the digital problems of the new generation brought about by information technologies.
By the way, this course does not discuss epistemology and methodology issues of political sciences. Therefore, students who reject quantitative data analysis should not reluctantly take this course.
- Teacher: 陳月卿