Eurosurveillance scientific seminar 2018: Artificial intelligence (AI) in epidemiology: a reality in 2018?
Algorithm-based machine learning that leads to the generation of new knowledge and that can be applied to autonomous decision making/problem-solving is at the core of artificial intelligence (AI). The opportunities and dangers posed by AI have fascinated humans for a long time. In Europe, the European Commission has put AI high on its agenda and stressed that ‘to build robust models at the core of AI-based systems, high quality data are a key factor to improve performances’.
Dr Ines Steffens
Dr Ines Steffens is a medical doctor with a master in public health. She is member and vice-president of the European Association of Science Editors (EASE) Council. Ines was among the group that founded the EASE Gender Policy Committee and she was involved in establishing the Sex and Gender Equity in Research (SAGER) guidelines.
Professor Magnus Boman
Professor Magnus Boman gave a presentation entitled ‘Artificial intelligence (AI) in epidemiology: a reality in 2018?’. Magnus is currently building learning machines for analysing patient behaviour in a clinical flow of Internet-based psychiatry patients. Over the last dozen or so years, Magnus worked as a computational epidemiologist in Sweden and the United Arab Emirates, chiefly with influenza-like illnesses.
Florian Burckhardt graduated with an MSc Epidemiology from Edinburgh University in 2000, finished his FETP at the Robert Koch Institute in 2008 and has since supervised several FETP fellows and their projects. He develops training tools for applied outbreak methodology in vocational training and for fun. His outbreak investigations covered Q-fever in live cell therapy and tularaemia in grape juice. He is an active EPIET Alumni Network member.
Dr João André Carriço is currently working as a Researcher in the Molecular Microbiology and Infection Unit at the Instituto de Medicina Molecular in the Faculty of Medicine, University of Lisbon, Portugal, and teaches at the Instituto Superior Técnico, University of Lisbon. He studied Applied Chemistry, Biotechnology and did his PhD on Microbial typing and data analysis methodologies. João’s research interests are in Bioinformatics and the development of novel analysis and visualization methodologies with special focus on microbiology, molecular epidemiology and microbial typing methods. He is member of the ESCAIDE scientific committee.