nanoIndEx will determine personal exposure to MNMs and thoroughly investigate the possibilities of personal monitors and samplers. Those samplers and monitors, identified as suitable for assessing personal exposure to MNMs will be scrutinized in laboratory and field studies to study their accuracy and the comparability of the different samplers and monitors and to search for possible correlations between metrics. All samplers and monitors that qualified during the lab-studies will be used in field studies in at least ten different nanotechnology workplaces. These field surveys will provide information on the field applicability and comparability of the instruments and generate a large data set on personal exposure to MNMs that will be provided to existing exposure databases. The experiences from the laboratory and field studies will feed into standard operation procedures and guidance documents on the proper use of the monitors and samplers and for data evaluation. All these documents will be made publicly available and distributed to stakeholders as well as national and international harmonization and standardization activities.

Policymakers and public health experts unanimously recognise the disproportionate impacts of COVID-19 on vulnerable persons: even in countries with well-developed responses, the outbreak and its repercussions imperil the basic well-being of social groups whose livelihoods are already precarious, while the uneven distribution of suffering threatens to aggravate inequality and division. One complicating factor here is the intersectional nature of health and socioeconomic vulnerabilities. Another is the complexity of risk in contemporary socioecological systems. The COVINFORM project will draw upon intersectionality theory and complex systems analysis in an interdisciplinary critique of COVID-19 responses on the levels of government, public health, community, and information and communications. The project will conduct research on three levels: 1) on an EU27 MS plus UK level, quantitative secondary data will be analysed and models will be developed; 2) Within 15 target countries, documentary sources on the national level and in at least one local community per country will be analysed; 3) in 10 target communities, primary empirical research will be conducted, utilising both classical and innovative quantitative and qualitative methods (e.g. visual ethnography, participatory ethnography, and automated analysis of short video testimonials). Promising practices will be evaluated in target communities through case studies spanning diverse disciplines (social epidemiology, the economics of unpaid labour, the sociology of migration, etc.) and vulnerable populations (COVID-19 patients, precarious families, migrating health care workers, etc.). The project will culminate in the development of an online portal and visual toolkit for stakeholders in government, public health, and civil society integrating data streams, indices and indicators, maps, models, primary research and case study findings, empirically grounded policy guidance, and creative assessment tools.

In childhood, adolescence and young adults (CAYA), melanoma is under-studied and non-existing tailored clinical guidelines and standardized approaches lead to a very low diagnostic accuracy. The MELCAYA project aims to understand risk factors and determinants of melanoma to improve the prevention, diagnosis and prognosis of melanomas in CAYAs through a strong international consortium with experts from 10 countries in different disciplines (e.g. oncology, paediatrics, ethics, policy making), and sectors (e.g. academic centers, SMEs, hospitals, patient associations). MELCAYA will work on different approaches. 1) By integrating existing reference European cohorts and registries, studies of genetic and environmental risk factors and progression of melanoma in CAYA will be performed through different omic methods, and a novel taxonomy of CAYA melanoma will be generated. 2) MELCAYA will also develop image-based robust and trustworthy machine learning tools and a pan-European second-opinion platform for better diagnosis specifically designed for CAYA. 3) Moreover, the validation of minimally and non-invasive disruptive tools based on artificial intelligence and volatilomics detection from exhaled breath and skin will lead to earlier detection and more accurate prognosis of melanoma in CAYA. 4) Finally, through the evidence gathered, MELCAYA will design and implement public health strategies and will actively involve patients and the general population. The results of MELCAYA will maximize its impact by making its data and results accessible and re-usable through integration into UNCAN.eu. This action is part of the Cancer Mission cluster of projects on ‘‘Understanding".