My experience throughout the entire course of ATHIKA and in FundacioTiCSalut was very fruitful and positive. The theoretical knowledge acquired from the course and exchange of practical, daily expertise regarding the use of ICT and networking in the field of the health sector has significantly motivated me to identify new research areas for my future academic development. The working environment and cooperation model of employees in FundacioTiCSalut which was based on active discussions and brainstorming created a helpful and efficient environment for advancing the knowledge I have in the data protection field.

I heard about the ATHIKA project through my university and I was interested in participating due to the interdisciplinary nature of the project. My experience of the course has been very positive, I learned a lot, especially courtesy the interdisciplinary element. Lawyers have a tendency to look at things from a very legal perspective. Being around a diverse group of people, i.e. philosophers, engineers, provided me with multifaceted perspectives on AI and other disruptive technologies from a non-legal perspective. I have learned a lot from various discussions while working at Mcrit and the involvement in the course gave me a deeper insight into AI technologies and reinforced my interest in Medtech, a field within IT law, which I have always been passionate about.

Extremely interesting mobility, has allowed to bridge the gap of the contents learned in the course and the experience of a real AI/ML organisation with a relevant hands-on project. In my case the experience of working alongside computing experts (Pharmatics and UWS student) was particularly useful in seeing how the technical roadmap (project delivery) evolved and I was able to gain a wider understanding of the business landscape in AI/ML health space and startups. Overall an excellent opportunity and experience which I already see will positively impact my professional (and academic) choices in this field. I intend to continue developing some project skills and increase my technical knowledge in BCM, statistics for business analysis and data analytics and tools and explore the thriving startup environment. I also intend to promote the use of BCM toolkit when I work in capacity building and with other stakeholders.

My experience with ATHIKA was really worth my time. The courses were properly structured and all the lecturers were expert at their fields. I gained a lot of knowledge from ATHIKA which I will always cherish. I am glad I joined the course. My experience at Pharmatics was really good I must say. I did a real life project in the area of Natural language Processing. The Objective of the task was to work with Pharmatics’ machine learning specialists on the development of a text classifier evaluating medical publications as being relevant (or not) for the prediction of health-related outcomes. This was really exciting for me as it opened my knowledge to other parts of AI/ML I haven’t explored before and I really leant a lot from my supervisor at Pharmatics.