Computational social science is an approach to elucidating social phenomena through computational methods. In recent years, the accumulation of large-scale data and the accompanying development of mathematical theories have been making it increasingly possible to understand and predict social phenomena that arise from the interactions of diverse individuals. This course focuses on foundational theories such as the statistical properties commonly observed in collective phenomena, data analysis including complex network analysis, statistical modeling, and simulation, while also introducing cutting-edge research on large-scale data analysis in areas such as social media, academic publications, patents, transportation, and culture. In addition, we will discuss connections with disciplines including economics, sociology, history, psychology, and information science. While this course does not cover the entire scope of computational social science, which spans a wide range of topics, it aims to provide a broad introduction centered on fundamental and versatile concepts. (計算社会科学とは社会現象を計算科学的に解明するアプローチです。近年の大規模なデータが蓄積やそれに伴う数理的な理論な発展が、多様な個人のインタラクションにより生じる社会現象の理解や予測を可能にしつつあります。講義では、集団現象一般に見られる統計的性質、複雑ネットワーク解析を始めとするデータ解析、統計モデリング、シミュレーションなどの基礎的理論に重点を起きつつ、SNS、論文、特許、交通、文化などの大規模なデータ解析の最新の研究を紹介します。また、経済学/社会学/歴史学/心理学/情報学などの学問との接続を議論していきます。本授業は多岐に渡る計算社会科学のスコープを網羅するわけではありませんが、基礎的かつ汎用的な概念を中心に幅広く紹介します。)

本講義は、高次元統計モデルをデータに基づいて学習する過程を記述・理解することを目的とする。具体的には、高次元な統計モデルの誤差を非漸近・漸近的の両面から評価し、またその拡張として深層ニューラルネットワークの学習を評価することを目的とする。また、必要な基礎的な理論の習得を行う。

本講義は、高次元統計モデルをデータに基づいて学習する過程を記述・理解することを目的とする。具体的には、高次元な統計モデルの誤差を非漸近・漸近的の両面から評価し、またその拡張として深層ニューラルネットワークの学習を評価することを目的とする。また、必要な基礎的な理論の習得を行う。

Science and technology studies (STS) is an interdisciplinary approach to the study of science and technology (S&T) and their relationship with human beings and the societies, polities and cultures they inhabit. The course thus explores the central – if not determining – role of S&T in modern societies by providing a critical analysis of the philosophical, sociological, political, economic and ethical conditions and choices they confront us with.

This lecture series provides an overview of what the academic genre of ethnography has achieved over the past century or so. Although ethnographic monographs have also been written by scholars of various disciplines, this lecture series focuses on sociocultural anthropologists’ endeavors. Rather than discussing the possibilities and limitations of ethnography abstractly, the aim of this course is to provide a perspective on what an ethnography have (and have not) accomplished, by critically introducing two or three ethnographic monographs each time, many but not all of which are on Asia, both locating them in academic and social contexts of the time and and relating them to various ongoing debates.

本講義は、高次元統計モデルをデータに基づいて学習する過程を記述・理解することを目的とする。具体的には、高次元な統計モデルの誤差を非漸近・漸近的の両面から評価し、またその拡張として深層ニューラルネットワークの学習を評価することを目的とする。また、必要な基礎的な理論の習得を行う。

広く産学官にわたってグローバルに活躍するために必要な「俯瞰力」を養成することを目指す。物質科学の各分野について最先端の知識を修得し、自分の専門分野と周辺分野がどのように関連するか、あるいはし得るか、について深く考察するために、第一線で活躍する講師の方々にその分野の最前線を概観していただく。さらに、それらの講義を通して異分野間のコミュニケーションを円滑に進めるための具体的方法論を学ぶ。 This survey course is designed to enable students to develop the broad perspective that is required of global leaders working in and across industry, academia, and government. Students will gain knowledge and insight on advancements in each field of materials science research, given by leading researchers working on the frontline in those fields. This will allow students to consider how peripheral fields are related to their own area of expertise, and to consider the potential for forging bridges between related fields in the future. In addition, students will learn specific methodologies designed to facilitate smooth communication among different disciplines.

This is a course on visual culture in the 20th and 21st century, with a particular focus on the interplay between media technology, culture and society. This course will also be multidisciplinary in nature, as we reflect on our discursive assumptions in the historical, sociological, anthropological, philosophical disciplines among others. While the readings may primarily cover phenomenon in the United States, participants will be strongly encouraged to think of the specificity of the impact of globalization on media and society in various regions of the world including Japan. The course objectives are the following: -Gain a better understanding of the relationships between society, media, people, institutions and how they function as agents of maintaining the status quo or for fostering change -Learn about the transformative faculties and social implications of quotidian applications of technology -Gain deeper understanding of the academic disciplines Topics will include (but are not limited to): -representation of human-computer interaction in culture -regional, transnational and international ecosystems of information technology -artificial intelligence and algorithmic bias -representation of race, ethnicity and gender and other minorities -technological advancement and implementation in everyday life and the powers at play

This is a course on visual culture in the 20th and 21st century, with a particular focus on the interplay between media technology, culture and society. This course will also be multidisciplinary in nature, as we reflect on our discursive assumptions in the historical, sociological, anthropological, philosophical disciplines among others. While the readings may primarily cover phenomenon in the United States, participants will be strongly encouraged to think of the specificity of the impact of globalization on media and society in various regions of the world including Japan. The course objectives are the following: -Gain a better understanding of the relationships between society, media, people, institutions and how they function as agents of maintaining the status quo or for fostering change -Learn about the transformative faculties and social implications of quotidian applications of technology -Gain deeper understanding of the academic disciplines Topics will include (but are not limited to): -representation of human-computer interaction in culture -regional, transnational and international ecosystems of information technology -artificial intelligence and algorithmic bias -representation of race, ethnicity and gender and other minorities -technological advancement and implementation in everyday life and the powers at play

The primary goal of the course is to provide students with an integrated view of how the basic concepts of mathematics and physics are applied to collecting information about a system. Upon successful completion of this course, the student will have: -acquired a basic knowledge of the physics of information, -gained an understanding of the physical principles of a broad range of modern sensors, -developed skills in data analysis and system modeling.