Apply Now: DATAETHICS Winter School 2022

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DATAETHICS Winter School 2022 is the third online course of the project and this time we will focus on the HEALTH DATA EMPOWERMENT and ARTIFICIAL INTELLIGENCE and the ethical dilemmas, advantages and challenges. Between the 24th and the 28th of January 2022, joined by the prominent international speakers, we will 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.

This event is co-funded by the Erasmus+ Programme of the European Union and the Deutsch-Französische Hochschule.

Deadline for applications: 17 December 2021

The call for applications is now OPEN
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THEME SUMMARY

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 program of the course will shortly be available on this website.

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.

OUR SPEAKERS

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)

and more!

The full list of speakers will shortly be available on this website.

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.

PARTICIPANTS PROFILE

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.

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

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