DataEthics Winter School

Why the dataethics Winter School

This 5-day course offers a unique opportunity to listen to lectures from leading and established cross-disciplinary experts in data curation and privacy, AI, ethics, biomedicine, and related fields. Through a matrix of lectures, interactive sessions and small group assignments, we create a flexible environment allowing for students to acquire new knowledge framed around a dilemma story. This approach furthers the ability of students to apply newly-gained knowledge in true-to-life scenarios. The course also offers ample opportunities for networking with peers and thematic experts from 9 leading European medical institutions, as well as external speakers from academia and industry.

Join us to debate  the significance of coupling ethical with scientific considerations of the curation and handling of biomedical AI, and learn about the latest developments in data science, bioinformatics, and applied AI in (bio)medicine.

Some of the topics covered in the DATAETHICS Winter School are:

• Data Ethics and Data Protection Legislation in Health Research & Biobanking
• Interpretable AI
• AI ethics – technological perspective
• Trustworthiness in AI and risk assessment
• Fundamentals of implementing AI/ML models in (bio)medicine

Application

Required documents: Electronic Application Form, CV and Motivation Letter (200-300 words explaining the predicted impact of the participation on the Candidate’s academic/professional career).

Candidates should complete the Application Form and together with the annexed documents, submit the application following the guidelines indicated in the online form.

Deadline for Applications: 12:00 Central European Time (CET) on Friday, 17 December 2021

All applicants will be notified on the selection results by 7 January 2022 through personalized email notification

Learning objectives

Through your participation in the course, you will learn about the fundamentals of coupling and implementing biomedical AI, data management and ethical considerations. Through the group exercises based on a real-life case study, you will gain the basis to analyse, categorise and address key ethical considerations of AI in biomedicine and understand how to address AI/ML models in (bio)medical practice. Through the opportunity to debate on a true-to-life dilemma, you will develop understanding on how to assess the use of Biomedical Big Data in the context of the ethical implications that inevitably follow it, and how to leverage ethical consideration in decision making. Participation in this course will foster your transversal skills and equip you with cutting edge knowledge on big data relevant to your study, research or internships.

Virtual collaboration

The school will be further augmented by student participation in a virtual collaborative exercise focusing around the dilemma story introduced on Day 1 of the course, and will be based on a flexible schedule that can be organised around your commitments. This activity, taking place during the two  months following the Winter School, will be enhanced by contributions from our industry associate partners, as well as a learning methodology structuring knowledge and developing soft skills based on value education.

The involvement and synergy of students and the DATAETHICS education trainers in the exercise is designed to allow for an equal dialogue. This virtual activity will end with a report consolidating the elaborations of all students.

Award

Students participating in the DATAETHICS Winter School will be awarded a certificate of participation. Furthermore, students will receive the DATAETHICS Open Badge for recognition of their qualifications, achieved via the practical exercise of applying the DATAETHICS training and knowledge in the process of the virtual collaboration.

This innovative certification method – the DATAETHICS Open Badge –allow the participants to digitally showcase the skills and competences they gained during the Winter School and the virtual exercise. The ultimate achievement recognised via this badge will be the report produced upon the completion of the practical exercise.