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科学技術政策研究:政治学系(Institutions and Methods of Health Technology Assessment in Healthcare Policy)
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・Students learn about Health Technology Assessment (HTA) institutions in the world and develop the HTA literacy with global standards, which is required for public policy-making and business in healthcare. ・A group of two or three students is asked to perform a short presentation regarding one HTA institution assigned in advance (for example, NICE in the UK), and the presentation is followed by class discussions. ・International HTA experts in Asia, the US or Europe are invited in several classes to give their lectures online or in-person.
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5171115
GPP-DP6P90S3
科学技術政策研究:政治学系(Institutions and Methods of Health Technology Assessment in Healthcare Policy)
鎌江 伊三夫
A1 A2
水曜2限
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医学データの統計解析実習
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医学データ解析参照
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02237
FME-IH3c09P1
医学データの統計解析実習
松山 裕
A1
金曜3限、金曜4限
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Application of Biometrics and Biostatistics to Agricultural Science
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Statistics and biometrics have emerged as crucial disciplines not only in agricultural sciences but also in various other fields. This significance is primarily attributed to three factors: Firstly, advancements in data measurement techniques have facilitated the collection of extensive and diverse biological and agronomic data that were previously unattainable. Secondly, the evolution of data science methodologies has enabled the integration and modeling of such collected data. Thirdly, the enhancement of computational capabilities has empowered the utilization of these methodologies. These advancements have rendered statistical and biometric methods indispensable for extracting insights from the vast and varied biological and agronomic datasets. Throughout this lecture series, a diverse array of biological and agronomic datasets will serve as illustrative examples to demonstrate various analytical methods. Delivered in a hands-on format, utilizing R, Python, and Matlab, the aim is to equip students with practical analysis skills. The initial portion of the course, spanning the first one-third, will focus primarily on techniques for summarizing, visualizing, and modeling relationships within multivariate datasets. In the subsequent one-third, students will delve into linear models, linear mixed models, local regression, and nonlinear models. Finally, in the last segment, students will explore image analysis, machine learning, and deep learning methods. While the course will cover a broad spectrum of methods, ranging from introductory to advanced levels, the emphasis will be on developing the capability to independently conduct analyses rather than on elaborating on the theoretical underpinnings of the methods.
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3901165
Application of Biometrics and Biostatistics to Agricultural Science
岩田 洋佳
S1 S2
火曜5限
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Data Science for Practical Economic Research
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Despite its name, this class is on forecasting methods in economics and applications of machine learning methods to forecasting. A typical class on machine learning focuses on cross-sectional data, leaving almost no space for a discussion of how to work with time series data and how to make forecasts with such data. The purpose of this class is to cover this gap. This class might be useful for students who plan to work at financial companies and government entities tasked with making forecasts. We will closely follow the textbook by G. Elliott and A. Timmermann "Economic Forecasting". The book is quite advanced and requires good understanding of probability and statistics. During the lectures, we will cover chapters from this textbook and perform hands-on sessions. The required programming language is Python. Students taking this class will be assumed to be familiar with basics of Machine Learning, probability and statistics, as well as programming in Python.
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291324-02
GEC-EC6322L3
Data Science for Practical Economic Research
Kucheryavyy Konstantin
S2
月曜4限、水曜4限
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Data Science for Practical Economic Research
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Despite its name, this class is on forecasting methods in economics and applications of machine learning methods to forecasting. A typical class on machine learning focuses on cross-sectional data, leaving almost no space for a discussion of how to work with time series data and how to make forecasts with such data. The purpose of this class is to cover this gap. This class might be useful for students who plan to work at financial companies and government entities tasked with making forecasts. We will closely follow the textbook by G. Elliott and A. Timmermann "Economic Forecasting". The book is quite advanced and requires good understanding of probability and statistics. During the lectures, we will cover chapters from this textbook and perform hands-on sessions. The required programming language is Python. Students taking this class will be assumed to be familiar with basics of Machine Learning, probability and statistics, as well as programming in Python.
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5123038
GPP-MP6E20L3
Data Science for Practical Economic Research
Kucheryavyy Konstantin
S2
月曜4限、水曜4限
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Data Science for Practical Economic Research
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Despite its name, this class is on forecasting methods in economics and applications of machine learning methods to forecasting. A typical class on machine learning focuses on cross-sectional data, leaving almost no space for a discussion of how to work with time series data and how to make forecasts with such data. The purpose of this class is to cover this gap. This class might be useful for students who plan to work at financial companies and government entities tasked with making forecasts. We will closely follow the textbook by G. Elliott and A. Timmermann "Economic Forecasting". The book is quite advanced and requires good understanding of probability and statistics. During the lectures, we will cover chapters from this textbook and perform hands-on sessions. The required programming language is Python. Students taking this class will be assumed to be familiar with basics of Machine Learning, probability and statistics, as well as programming in Python.
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0704254
FEC-EC5801L3
Data Science for Practical Economic Research
Kucheryavyy Konstantin
S2
月曜4限、水曜4限
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医学データの統計解析
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臨床研究・疫学研究で頻用される統計解析法について講義するとともに、SASを用いて実習を行う。午後の医学データの統計解析実習と関連しており、基本的には午前中に実習も行うことがある。
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02236
FME-IH3c08L1
医学データの統計解析
松山 裕
A1
金曜1限、金曜2限
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Theory of Normativity in Global Society III
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This course explores the role of law and governance in the Anthropocene understood as an unprecedented socio-ecological configuration. Through interactive lectures, classroom discussions based upon pre-assigned readings, as well as case- or problem-based mini projects focusing on how to unmake and remake International Environmental Law in specific contexts, students not only critically assess the effectiveness of regulatory interventions used thus far to mediate the human-environment interface; they also examine the potential of counter-narratives and alternative institutional practices by drawing on most recent critical approaches as well as sociocultural traditions that have been marginalised within international environmental law.
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31D350-0341A
Theory of Normativity in Global Society III
ジロドウ イザベル
A1 A2
水曜3限
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Theory of Normativity in Global Society III
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This course explores the role of law and governance in the Anthropocene understood as an unprecedented socio-ecological configuration. Through interactive lectures, classroom discussions based upon pre-assigned readings, as well as case- or problem-based mini projects focusing on how to unmake and remake International Environmental Law in specific contexts, students not only critically assess the effectiveness of regulatory interventions used thus far to mediate the human-environment interface; they also examine the potential of counter-narratives and alternative institutional practices by drawing on most recent critical approaches as well as sociocultural traditions that have been marginalised within international environmental law.
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31M350-0341A
Theory of Normativity in Global Society III
ジロドウ イザベル
A1 A2
水曜3限
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Theory of Normativity in Global Society V
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In this seven sessions seminar, we will focus on how to conduct ethnographic fieldwork and how to create and circulate ethnographic narratives during health emergencies and disasters. For the purpose of the course, we will consider narratives in a broad sense, encompassing texts, videos, stills (such as photographs, digitally generated art, paintings), to reflect on the meanings and the possibilities offered through “bearing witness” in contexts of health emergencies and disasters – and the ethical stances such work calls for both in the fieldwork and beyond it. In our seven-week exercise, we will put women and women’s perspectives and needs in the center of our analysis. To facilitate the conversation, the bibliography will prioritize the instructor's academic and visual production. · The English language is not the first language for all of us, I suppose (and Professor Diniz is still learning basic Japanese), so empathy and a good sense of humor are recommended to create a safe space for all the participants. Students are welcomed to suggest class dynamics that better fit to the group. About the instructor Debora Diniz is a Brazilian anthropologist, professor at the University of Brasilia (Brazil). She is also a visiting scholar at the Law Faculty, University of Toronto (Canada). Diniz is a member of the High-Level Advisory Group for the Gender and Health Hub coordinated by the United Nations University International Institute for Global Health (UNU-IIGH), and she is a member of the WHO working group to develop intersectional gender lens to research ethics. Diniz’s 2016 book “Zika: from Brazilian backlands to global threat” was awarded the Brazilian Health Sciences Jabuti Prize and has since been translated into English and Japanese. Her ethnographic films have won more than 90 awards, and have been exhibited at festivals, prisons, universities and schools, hospitals and labs, courts, and churches in more than 35 countries. Due to her rights-based response to the effects of the Zika epidemic in Brazil, she was nominated as one of 100 Global Thinkers by Foreign Policy Magazine. In 2020, she won the prestigious Dan David prize, a lifetime achievement recognition for her contributions to gender justice and the Global Health Ethics Leadership (University of Oxford, UK). In 2024, she was granted an honorary degree by the Social Sciences Department of the University of Ottawa. She was a visiting scholar in universities in Canada, France, Germany, Japan and USA; and served in several international boards, currently serving at the Witness board. · To know more about how Diniz explores her intersecting work between anthropology and women’s rights and health emergencies, read: Bähre, Erik; Diniz, Debora. Women's rights and misogyny in Brazil: an interview with Debora Diniz. Anthropology Today, 36(2), 17-20. With the remote collaboration of: Arbel Griner is a Brazilian anthropologist, currently associate research scholar at the Center for Health and Wellbeing, Princeton University. Griner is a member of the Brazilian research team working on the aftermath of the Zika epidemic and Covid-19 pandemic in Brazil.
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31D350-0600A
Theory of Normativity in Global Society V
Debora Diniz
A1
木曜4限
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