Published: 13-09-2024 15:10 | Updated: 17-09-2024 17:53

Apply for DATAETHICS Winter School 2024

DATAETHICS Winter School 2024: Ethical, social and legal considerations of Biomedical Big Data (BBD) handling ‘Big Data Divide’ and governance of BBD Platforms.

DATAETHICS Winter School 2024
DATAETHICS Winter School 2024 Photo: N/A

Are you a student or doctoral candidate in medicine, biomedicine, and life sciences at KI? Do you want to learn more about and discuss the ethical dimensions of handling large data sets? Apply for this winter course to get the chance to explore the critical issues and innovative solutions shaping the future of biomedical research.

5 day-course in Austria

The course in Obergurgl and Innsbruck combines lectures and activities on the ethical, social, and legal aspects of digitalisation and data-driven development within Biomedical Big Data (BBD). You will listen to experts in data curation, privacy, ethics, and biomedicine, as well as network with students and experts from the Eurolife network and industry.

Upon completion of the course, you will be awarded a certificate of participation and a DATAETHICS Open Badge for recognition of qualifications.

DATE: 15-20 DECEMBER 2024 
LOCATION: Obergurgl and Innsbruck in Austria
PROGRAMME: See the tentative programme on the DATAETHICS website 
TEACHING LANGUAGE: English 
APPLICATION DEADLINE: 4 October 2024 at 17:00 (CEST) 
TARGET GROUP: Bachelor, master and doctoral students in medicine, biomedicine, and life sciences

More information 

For more information on the course and the application procedure see the DATAETHICS website.

The Eurolife DATAETHICS Winter School grant covers the participation fee and accommodation for 3 participants from Karolinska Institutet, as well as transport from Obergurgl to Innsbruck for the conference on 19 December 2024. Note that travel costs to and from Innsbruck is not covered, these costs have to be covered by you. 

The Eurolife and DATAETHICS series of summer and winter schools focus on ethical dimensions of handling large (bio)medical data sets.

Contact

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Anna Dahlerus

International Coordinator

Contact

Anna Dahlerus International Coordinator