Precision medicine is the movement in biomedicine toward individualized treatment of patients based on various sources of health data. Proponents of AI envision that AI will help leverage a flood of health data to develop individualized treatments and diagnostics.
But what are the consequences of introducing AI in biomedical knowledge production? What happens to knowledge production when human judgment and the traditional scientific method are supplemented with, and sometimes replaced by, AI and the analysis of large amounts of data?
Today, new digital tools and methods create a growing flood of Big data. In order to manage this growing flood of data, many data-driven research projects in biomedicine are turning to new analytical methods using AI. As a result, we are currently experiencing an explosive introduction of AI in biomedicine. AI seems to promise a whole new way of producing knowledge about the world.
How do actors handle the introduction of AI in the biosciences? What are the debates that AI lead to? Challenges? Dilemmas?
We are now inviting applications for a fully funded PhD position that will investigate the consequences of introducing AI in precision medicine from a social science perspective.
We are looking for candidates with a degree from the humanities or the social sciences with a strong interest in how technology is intertwined with knowledge production. Relevant degrees can be for instance in STS, sociology, anthropology, communication studies, or other related fields.
The Doctoral Student will be a part of a larger project that investigates these challenges from a social science perspective. The project is part of » WASP-HS