Effy Vayena: Catalogue data in Spring Semester 2019
|Prof. Dr. Effy Vayena
Dep. Gesundheitswiss. und Technol.
ETH Zürich, HOA H 12
|+41 44 632 83 01
|Health Sciences and Technology
|Fundamentals of Research and Ethics
Only for Human Medicine BSc.
|H. C. Bucher, E. Vayena, C. Wolfrum, A. Blasimme, C. Brall, F. Gille, M. Ienca, further lecturers
|On the one hand, this module teaches basic knowledge for a critical study of literature with a close relation to clinical decision making as well as the fundamentals of clinical research methodology. On the other hand, methods of personalized medicine and related ethical problems in medical and biomedical research are discussed.
|This module is intended to enable students to critically appreciate scientific literature and to plan clinical trials themselves, and to recognize and analyze ethical controversial situations in everyday medical practice.
|The sub-module 'Clinical Research' contains the following aspects:
- Basic principles of evidence assessment (validity, clinical relevance and external validity of evidence) on the basis of clinical case vignettes (diagnostics, therapy, screening).
- Development and presentation of a clinical trial protocol.
The ‘Ethics in Medicine and Health Care’ sub-module contains the following ethical issues:
- Doctor-patient relationship
- End-of-life decisions
- Reproductive choices
- Techniques such as genetic testing, genome sequencing, Big Data, Artificial Intelligence
The submodule 'Personalized Medicine' contains the following aspects:
- Introduction to precision medicine
- Mendelian inheritance and monogenic diseases
- GWAS and precision medicine
- Biomarkers in precision medicine
|Big Data, Law, and Policy
Number of participants limited to 35
Students will be informed by 3.3.2019 at the latest.
|S. Bechtold, T. Roscoe, E. Vayena
|This course introduces students to societal perspectives on the big data revolution. Discussing important contributions from machine learning and data science, the course explores their legal, economic, ethical, and political implications in the past, present, and future.
|This course is intended both for students of machine learning and data science who want to reflect on the societal implications of their field, and for students from other disciplines who want to explore the societal impact of data sciences. The course will first discuss some of the methodological foundations of machine learning, followed by a discussion of research papers and real-world applications where big data and societal values may clash. Potential topics include the implications of big data for privacy, liability, insurance, health systems, voting, and democratic institutions, as well as the use of predictive algorithms for price discrimination and the criminal justice system. Guest speakers, weekly readings and reaction papers ensure a lively debate among participants from various backgrounds.
|Big Data, Law, and Policy (with Case Study)
Limited number of participants.
Students will be informed by 3.3.2019 at the latest
|2S + 2A
|S. Bechtold, T. Roscoe, E. Vayena
|This course examines and critiques the design of the Internet, with a focus on the connection between the engineering features and principles of the network and the legal, economic, and political concerns which have followed its evolution.
|This course examines and critiques the design of the Internet (broadly defined), with a focus on the connection between the engineering features and principles of the network (packet switching, global addressing, the end-to-end argument, etc.) and the legal, economic, and political concerns which have followed its evolution (security properties, censorship and censorship resistance, "net neutrality", etc.). No prior knowledge of networking technologies is required; conversely the course will focus only on those features of the Internet design which have strong political and legal implications (and vice versa). The course consists of two parts: lectures and seminars in one part provide an introduction and discussion of the technical, legal, and political aspects of the Internet design. The other part consists of a specific case study of some aspect of the Internet by individual students.