HEALTH DATA EMPOWERMENT
Ethical dilemmas, advantages and challenges
24 January - 28 January 2022 ONLINE, hosted by the Leiden University Medical Center with a virtual collaboration exercise on a flexible schedule following the course The call for applications is now CLOSED
Digitalization is a key initiative in everyday life, including healthcare. Within this, one of the most promising and disruptive technologies is Artificial Intelligence (AI). AI has started to play an increasingly important role in daily medical practice. AI agents have already shown that they can match or even outperform human professionals in determining the best treatments for, amongst others, cancer patients. However, as new data science and AI technologies are being developed and tested, concerns have arisen regarding their ethical, societal and legal implications, as well as their susceptibility to errors. These include issues conserning clinical accuracy and safety, transparency, security, accountability, data privacy and fairness. This Winter School will offer a unique set of lectures and activities enabling participants to familiarise themselves with the value chain of ethical, social and legal considerations in the field of biomedical AI solutions.
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
The tentative program is available HERE
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.
The expertise of the speakers covers a broad spectrum of research and application interests from bioethics, health policy and social studies of medicine, to cutting-edge genomics, analysis of large heterogeneous high-throughput data-sets and AI solutions for biomedicine.
The course will feature lectures from prominent international speakers:
Dr Marco Roos (Leiden University Medical Center)
Dr Isa Houwink (Leiden University Medical Center) & Rick Overkleeft (4MedBox)
Frederique de Paus & Erwin Haas (Landscape A.I.)
Prof Patrick Wall (Trinity College Dublin)
Prof Petia Radeva (University of Barcelona)
Prof Eoin O’Dell (Trinity College Dublin)
Prof Martine de Vries (Leiden University Medical Center)
The full list of speakers will shortly be available on this website.
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 following the Winter School 2022, 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. Participation in this exercise is obligatory for all participants to the DATAETHICS Winter School 2022.
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.
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.
The course welcomes BSc, MSc and PhD students from the fields of medicine, biomedicine and life sciences, and priority is given to students from the DATAETHICS Partner Universities. Proficiency in written and spoken English is required.
To ensure active participation and exchange with teaching staff and fellow participants, as well as transnational character of the course, a maximum of 36 participants will be admitted to this course, with balanced representations of participants per DATAETHICS partner institutions. In addition, in case of equal quality of applications, the following groups will be given priority in the selection process:
- Students with disabilities
- Participants to the DATAETHICS virtual exercise, who did not participate in the DATAETHICS Pilot or Summer Schools
Please note, candidates from non-DATAEHICS institutions will only be nominated if the quota of 36 students from DATAETHICS partner institutions is not fulfilled.