| Academic Year |
2026Year |
School/Graduate School |
Graduate School of Integrated Sciences for Life (Master's Course) |
| Lecture Code |
WI101700 |
Subject Classification |
Specialized Education |
| Subject Name |
社会の中の科学技術 |
Subject Name (Katakana) |
シャカイノナカノカガクギジュツ |
Subject Name in English |
Science and Technology in Society |
| Instructor |
SAWAI TSUTOMU,NOCHI REI,NAKAZAWA SATOSHI,OKAMOTO SHIMPEI,YOSHIOKA YUHEI |
Instructor (Katakana) |
サワイ ツトム,ノウチ レイ,ナカザワ サトシ,オカモト シンペイ,ヨシオカ ユウヘイ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
2nd-Year, First Semester, 1Term |
| Days, Periods, and Classrooms |
(1T) Fri11-12:Online |
| Lesson Style |
Lecture |
Lesson Style (More Details) |
Online (on-demand) |
| |
| Credits |
1.0 |
Class Hours/Week |
2 |
Language of Instruction |
J
:
Japanese |
| Course Level |
5
:
Graduate Basic
|
| Course Area(Area) |
23
:
Arts and Humanities |
| Course Area(Discipline) |
02
:
Ethics |
| Eligible Students |
|
| Keywords |
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| Special Subject for Teacher Education |
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Special Subject |
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Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students) | |
|---|
Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students) | |
Class Objectives /Class Outline |
The recent rapid advancements in the life sciences have introduced many innovative technologies with applications in agriculture, fisheries/livestock production, and medicine. While these advancements offer significant benefits, they also present complex challenges, serving as double-edged swords with the potential to drastically alter the future for better or worse. This course aims to explore the multifaceted impacts of life science technologies by examining their ethical, legal, and social implications from the perspectives of philosophy, ethics, history, and culture. Students will engage in critical thinking about the role of science and technology in society and learn to articulate their positions on these issues, regardless of their field of study. |
| Class Schedule |
lesson1: Life Sciences and Bioethics Examination of genome editing's ethical issues and the state of national and international debates. lesson2: Life Sciences and Research Ethics/Research Integrity Examination of the code of conduct and social responsibilities of researchers, emphasizing research ethics and integrity. lesson3: Life Sciences and Bioethics Examination of the relationship between life sciences and normative ethics. lesson4: Life Sciences and Bioethics Exploration of ethical issues concerning informed consent in the life sciences. lesson5: Science, Technology and Privacy Exploration of ethical issues concerning privacy in science and technology. lesson6: Pollution Exports and Carbon Neutral Pollutions Analysis of ethical issues of the export of pollution and rare earth elements (or simply rare earths). lesson7: Future of Life Sciences and Food Ethics Consideration of ethical issues regarding human-pig chimeras or artificial meat. lesson8: Science, Technology and Public Engagement Overview of Responsible Research and Innovation (RRI) in the development of emerging technologies. lesson9 lesson10 lesson11 lesson12 lesson13 lesson14 lesson15
Grades will be based on the average of a post-class report for each class. |
Text/Reference Books,etc. |
N/A |
PC or AV used in Class,etc. |
Handouts, Microsoft Teams, Zoom, moodle |
| (More Details) |
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| Learning techniques to be incorporated |
Discussions, Post-class Report |
Suggestions on Preparation and Review |
Please read the handouts distributed in advance. |
| Requirements |
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| Grading Method |
- Grades will be assigned based on the average score of 8 short reports. - The short report should be approximately 500 words. - Submit each report on the weekend of the lecture (before the end of Sunday). - The use of generative AI in short reports is not strictly prohibited. However, if used, students must attach a supplementary explanation (300 Japanese characters) in addition to the report itself. This explanation should summarize how the AI was used (e.g., drafting, refining expressions), which parts of the AI output were not used as-is and why, and the content the student thought independently. The content of this explanation will be included in the evaluation. |
| Practical Experience |
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| Summary of Practical Experience and Class Contents based on it |
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| Message |
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| Other |
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Please fill in the class improvement questionnaire which is carried out on all classes. Instructors will reflect on your feedback and utilize the information for improving their teaching. |