Effy Vayena: Catalogue data in Autumn Semester 2019 |
Name | Prof. Dr. Effy Vayena |
Field | Bioethics |
Address | Dep. Gesundheitswiss. und Technol. ETH Zürich, HOA H 12 Hottingerstrasse 10 8092 Zürich SWITZERLAND |
Telephone | +41 44 632 83 01 |
effy.vayena@hest.ethz.ch | |
Department | Health Sciences and Technology |
Relationship | Full Professor |
Number | Title | ECTS | Hours | Lecturers | |
---|---|---|---|---|---|
376-0303-00L | Colloquium in Translational Science (Autumn Semester) | 1 credit | 1K | M. Ristow, C. Ewald, V. Falk, J. Goldhahn, K. Maniura, S. Schürle-Finke, E. Vayena, V. Vogel | |
Abstract | Current topics in translational medicine presented by speakers from academia and industry. | ||||
Objective | Getting insight into actual areas and problems of translational medicine. | ||||
Content | Timely and concise presentations of postgraduate students, post-docs, senior scientists, professors, as well as external guests from both academics and industry will present topics of their interest related to translational medicine. | ||||
Prerequisites / Notice | No compulsory prerequisites, but student should have basic knowledge about biomedical research. | ||||
551-1299-00L | Introduction to Bioinformatics | 6 credits | 4G | S. Sunagawa, M. Gstaiger, A. Kahles, G. Rätsch, B. Snijder, E. Vayena, C. von Mering, N. Zamboni | |
Abstract | This course introduces principle concepts, the state-of-the-art and methods used in some major fields of Bioinformatics. Topics include: genomics, metagenomics, network bioinformatics, and imaging. Lectures are accompanied by practical exercises that involve the use of common bioinformatic methods and basic programming. | ||||
Objective | The course will provide students with theoretical background in the area of genomics, metagenomics, network bioinformatics and imaging. In addition, students will acquire basic skills in applying modern methods that are used in these sub-disciplines of Bioinformatics. Students will be able to access and analyse DNA sequence information, construct and interpret networks that emerge though interactions of e.g. genes/proteins, and extract information based on computer-assisted image data analysis. Students will also be able to assess the ethical implications of access to and generation of new and large amounts of information as they relate to the identifiability of a person and the ownership of data. | ||||
Content | Ethics: Case studies to learn about applying ethical principles in human genomics research Genomics: Genetic variant calling Analysis and critical evaluation of genome wide association studies Metagenomics: Reconstruction of microbial genomes Microbial community compositional analysis Quantitative metagenomics Network bioinformatics: Inference of molecular networks Use of networks for interpretation of (gen)omics data Imaging: High throughput single cell imaging Image segmentation Automatic analysis of drug effects on single cell suspension (chemotyping) | ||||
Prerequisites / Notice | Course participants have already acquired basic programming skills in Python and R. Students will bring and work on their own laptop computers, preferentially running the latest versions of Windows or MacOSX. | ||||
851-0745-00L | Ethics Workshop: The Impact of Digital Life on Society Number of participants limited to 30. Open to all Master level / PhD students. | 2 credits | 2S | E. Vayena, F. Gille, J. Sleigh | |
Abstract | This workshop focuses on understanding and managing the ethical and social issues arising from the integration of new technologies in various aspects of daily life. | ||||
Objective | Explain relevant concepts in ethics. Evaluate the ethical dimensions of new technology uses. Identify impacted stakeholders and who is ethically responsible. Engage constructively in the public discourse relating to new technology impacts. Review tools and resources currently available that facilitate resolutions and ethical practice Work in a more ethically reflective way | ||||
Content | The workshop offers students an experience that trains their ability for critical analysis and develops awareness of responsibilities as a researcher, consumer and citizen. Learning will occur in the context of three intensive workshop days, which are highly interactive and focus on the development and application of reasoning skills. The workshop will begin with some fundamentals: the nature of ethics, of consent and big data, of AI ethics, public trust and health ethics. Students will then be introduced to key ethical concepts such as fairness, autonomy, trust, accountability, justice, as well different ways of reasoning about the ethics of digital technologies. A range of practical problems and issues in the domains of education, news media, society, social media, digital health and justice will be then considered. These six domains are represented respectively by unique and interesting case studies. Each case study has been selected not only for its timely and engaging nature, but also for its relevance. Through the analysis of these case studies key ethical questions (such as fairness, accountability, explain-ability, access etc.) will be highlighted and questions of responsibility and tools for ethical practice will be explored. Throughout, the emphasis will be on learning to make sound arguments about the ethical aspects of policy, practice and research. |