Thematic Networks of Excellence for AI in Science – Agriculture and Environmental Pollution (RAISE pilot)

Expected Outcome:Project results are expected to contribute to the following expected outcomes:scientific progress with the help of AI, addressing strategic scientific challenges in the thematic areas selected (agricultural sciences and environmental pollution sciences);pilot network of excellent labs in the selected thematic areas to pool talent and expertise as part of a Resource for AI Science in Europe (RAISE), operating as a virtual institute across Europe;establish a model of cooperation among these labs and support the development of a strategic research agenda for the application of AI in scientific research in the selected thematic domains;reinforce the European AI in science community, attract top-notch talent and spread excellence in AI in science;develop synergies with the “Science for AI” RAISE pilot call. Scope:The aim of this topic is to establish a network of excellent labs across Europe, dedicated to collaborative research using AI in strategic and promising scientific areas or domains, piloting RAISE and aligning research efforts.The selected consortium will be composed of leading European research labs in the thematic area with strong experience in applying AI in the research process. At least half the members of the consortium should have a proven track record of developing innovative AI solutions for scientific research. Consortia are welcome to involve expertise in Social Sciences and Humanities in their proposal as they see fit to achieve the objectives.The network of excellence will be dedicated to the application of AI to scientific research in a agricultural sciences and environmental pollution sciences (Cluster 6).To achieve these objectives, the consortium will undertake a range of dedicated activities:drawing on the consortium's knowledge and excellence, propose an ambitious strategic research agenda for the field, beyond the research agenda of the consortium in the context of the project, identifying key scientific grand challenges that