The ClimAIr project will expand the evidence-based understanding of climate change, air pollution, and non-communicable respiratory diseases by using Artificial Intelligence (AI) tools. It will gather data on greenhouse gases levels and disaster risks, information on serious air pollutants and respiratory diseases' prevalence. The AI-powered tools will be employed to generate better intervention methods and improve public health outcomes. Federated Learning (FL) will be used to develop AI models to protect patients' privacy. By raising public awareness and delivering the ClimAIr tool specifically designed to health workers, urban planners and policy makers - the project aims to influence policy decisions, promote healthier environments, and reduce respiratory diseases in Europe, which will be tested and validated the ClimAIr tool in specific municipalities that are part of the project. ClimAIr draws on a consortium of 21 partners from 15 European countries, including carefully selected health centres across Europe in Spain, Luxembourg, Ukraine, Italy, France, Germany, Greece, Romania and Poland focused on respiratory diseases, which will provide disease data and explore metabolic routes of the studied contaminants/diseases. ClimAIr is composed of an interdisciplinary team formed by research centres, ethical AI and modelling experts, SSH specialists, municipal governance, and a Communication & Dissemination (C&D) expert team dedicated to achieving and spread the results of the project.

Granular materials such as sand, salt grains and coffee beans are everywhere. Predicting how granular materials flow and deform is obviously important for a wide range of sectors, yet still a highly challenging task. Computational methods to assist in handling granular materials have greatly improved in the past decades. However, these computational methods need more and more experimental calibration. Current calibration technology is completely insufficient to provide the required information to calibrate computational methods. CALIPER will train a cohort of experimental and computational experts by letting them develop and use innovative granular calibration technology based on three dimensional imaging methods. CALIPER training is provided by leading academics and an exciting mix of large and small European companies and will make use state-of-the-art experimental infrastructure. CALIPER will so provide Europe with a unique group of professionals that will enhance the academic and industrial innovation capacity in a wide range of sectors for years to come.

The overarching objective of TUSAIL is to train 15 creative, entrepreneurial and innovative Early Stage Researchers (ESRs) in developing, applying and validating novel methodologies for upscaling of particulate systems across the length-scales and this way to help advance the innovation capacity in European industry. Training and research of the ESRs will be structured involving multiple disciplines (physics, engineering, informatics and mathematics), internationally covered by all partners, and involving state-of-the-art research and transferable, intersectoral skills from both academia and industry. This will deliver a cohort of experts in upscaling techniques able to eliminate industry’s reliance on traditional, costly pilot plants and thereby enhance European competitiveness, reducing risks and saving valuable resources. The ambitious training goal will be completed by top-edge research in three research WPs that address three complementary methods to modernise upscaling with an overarching WP that comb