The main aim of the project must be to increase the understanding of how using AI, autonomous systems, and data-driven methodologies in the life sciences, has consequences in the data driven life sciences, biology, medicine, and/or society.
This call aims to provide funding for research investigating the human and social challenges of data-driven strategies developed and applied within the life sciences. The research should aim to increase the understanding of how using artificial intelligence (AI), autonomous systems, and data-driven methodologies has effects and consequences in the life sciences, medicine, and/or society. The research should be of a visionary nature and have a clear impact both for the data driven life sciences and the humanities and/or social sciences. Impact here can mean for example scientific impact, but also industrial or societal impact. The call also aims to promote collaborations between researchers from the data-driven life sciences and the social sciences and humanities.
The call is open to researchers working in the life sciences, social sciences, and humanities, broadly construed. In the life sciences, the research must be related to data-driven approaches in molecular biology, evolution and biodiversity, prediction medicine, or epidemiology or biology of infection (see DDLS research areas below). In the social sciences and humanities, research areas include, but are not limited to, philosophy, sociology, anthropology, political science, law, history, linguistics, languages, the creative arts, and theology. Examples of research topics include the study of ethical, legal, organizational, epistemic, economical, and cultural challenges as well as other possible topics outside of those listed.
The call is part of a long-term commitment by the Wallenberg Foundations, which aims to stimulate collaborative research between the data-driven life sciences, the social sciences, and the humanities.
