2030 and beyond, Europe and the world will face opportunities and challenges of growth and sustainability of tremendous magnitude; to pro-actively tackle issues of green deal efficiency, digital inclusion and assurance of health and safety in a post pandemic world will be key. A powerful vision is needed to connect physical, digital, and human worlds, firmly anchored in future wireless technology and architectural research. The Hexa-X vision calls for an x-enabler fabric of connected intelligence, networks of networks, sustainability, global service coverage, extreme experience, and trustworthiness. Wireless technologies are of critical relevance for our society and economy today; their importance for growth will continue to steadily increase with 5G and its evolution, enabling new ecosystems and services motivated by strongly growing traffic and trillions of devices. The Hexa-X project ambition includes to develop key technology enablers in the areas of (i) fundamentally new radio access technologies at high frequencies and high-resolution localization and sensing; (ii) connected intelligence though AI-driven air interface and governance for future networks, and (iii) 6G architectural enablers for network disaggregation and dynamic dependability. Europe has been a leader in wireless network technologies for decades. It is now critical to unleash our best brains in the joint research ambition of a “flagship” project to maintain the global industry leadership for the B5G/6G era. The Hexa-X flagship is a unique effort of vision, and an opportunity for disruptive impact in sustainable growth and technology experience in Europe and worldwide!

OpenDreamKit will deliver a flexible toolkit enabling research groups to set up Virtual Research Environments, customised to meet the varied needs of research projects in pure mathematics and applications and supporting the full research life-cycle from exploration, through proof and publication, to archival and sharing of data and code. OpenDreamKit will be built out of a sustainable ecosystem of community-developed open software, databases, and services, including popular tools such as LinBox, MPIR, Sage(sagemath.org), GAP, PariGP, LMFDB, and Singular. We will extend the Jupyter Notebook environment to provide a flexible UI. By improving and unifying existing building blocks, OpenDreamKit will maximise both sustainability and impact, with beneficiaries extending to scientific computing, physics, chemistry, biology and more and including researchers, teachers, and industrial practitioners. We will define a novel component-based VRE architecture and the adapt existing mathematical software, databases, and UI components to work well within it on varied platforms. Interfaces to standard HPC and grid services will be built in. Our architecture will be informed by recent research into the sociology of mathematical collaboration, so as to properly support actual research practice. The ease of set up, adaptability and global impact will be demonstrated in a variety of demonstrator VREs. We will ourselves study the social challenges associated with large-scale open source code development and of publications based on executable documents, to ensure sustainability. OpenDreamKit will be conducted by a Europe-wide demand-steered collaboration, including leading mathematicians, computational researchers, and software developers long track record of delivering innovative open source software solutions for their respective communities. All produced code and tools will be open source.

EQUAL-LIFE will develop and test combined exposure data using a novel approach to multi-modal exposures and their impact on children’s mental health and development. A combination of birth-cohort data with new sources of data, will provide insight into aspects of physical and social exposures hitherto untapped. It will do this at different scale levels and timeframes, while accounting for the distribution of exposures in social groups based on gender, ethnicity, social vulnerability. Beginning with child development and mental health, a set of theory-based questions is formulated, a wide range of relevant environmental and social hazards is defined and validated at the stakeholders end. Exposure assessment combines traditional GIS-based approaches with omics approaches and new sources of data that could explain aspects of the urban environment at a higher spatial and temporal granularity, and provide insight into untapped parameters relating to exposure (spatial quality of neighborhoods). These together form the early-life exposome. Statistical tools integrate data at different scale levels and times and combine e.g. machine learning, causal models with subgroups measures. EQUAL-LIFE uses data from birth-cohorts, longitudinal school data sets and cross-sectional studies (N=>250.000), including data on exposures, biomarkers, mental health and developmental outcomes, in their social context. EQUAL-LIFE contributes to the development/utilization of the exposome concept by 1) integrating the internal, external and social exposome 2) by studying a distinct set of effects on a child’s development and mental health 3) by characterizing/measuring/modelling the child’s environment at different stages and activity spaces 4) by looking at supportive environments for child development, rather than merely pollutants 5) by combining physical, social indicators with novel biomarkers and using new data sources describing child activity patterns and environments. EQUAL-LIFE is part of the European Human Exposome Network comprised of nine projects selected from this same call.

PAPILLONS will elucidate ecological and socioeconomic sustainability of agricultural plastics (APs) in relation to releases and impacts of micro- and nanoplastics (MNPs) in European soils. We will advance knowledge on sources, behaviour and impacts through cross-disciplinary research, bringing together scientists from chemistry, materials engineering, agronomy, soil ecology, toxicology and social sciences. We will transform the scientific knowledge generated into guidance on specific solutions by applying a Multi-actor approach, involving actors in the agricultural and policy sector and world-leading industries. This will enable co-creation of knowledge and provide the scientific background to enable policy, agricultural and industrial innovation towards sustainable farm production systems. We will deliver the first digital European atlas of AP use, management and waste production to estimate sources of MNP to agricultural soils. We will run integrative studies at laboratory, mesocosm and field scales in different parts of Europe to address: occurrence of AP-derived MNPs; MNP behaviour and transport in soil; uptake by biota and crops; long-term impacts on soil properties, fertility and ecological services; effects on biological and functional diversity across multiple scales; effects on plant production and quality; and socioeconomic impacts of AP-based practices. We will focus on multigenerational effect studies for relevant traditional and biodegradable polymers, at realistic and future high-exposure scenarios. PAPILLONS partners pioneered soil MNP research, host the majority of European analytical capacity for assessing soil contamination and will provide validated, high-throughput analysis for MNPs in soil. Using innovative applications of state-of-the-art analytical chemistry, we will advance analysis down to the nanoscale range and develop novel radiolabelled nanoplastics for accurately tracking behaviour and transport in soil and uptake by biota and crops.

Techniques for separating fluid mixtures are important in many industries like the chemical and pharmaceutical industry. The most relevant of these separation techniques, like distillation and absorption, are based on mass transfer over fluid interfaces. Results from molecular thermodynamics, which have recently become available, show that for many industrially important mixtures a strong enrichment of components occurs at the fluid interface. There is a striking congruence between shortcomings of the present design methods for fluid separations and the occurrence of that enrichment. It is the central hypothesis of the present research that the enrichment leads to a mass transfer resistance of the fluid interface which has to be accounted for in fluid separation process design. The fact that it is presently neglected causes unnecessary empiricism and inconsistencies in the design. ENRICO will advance the knowledge on the enrichment of components at fluid interfaces using a novel combination of two independent theoretical methods, namely molecular simulations with force fields on one side and density gradient theory coupled with equations of state on the other. This will enable reliable predictions of the occurrence of the enrichment and its magnitude. These results will be combined with the theory of irreversible thermodynamics to establish for the first time a model for the mass transfer resistance of the interface due to the enrichment. On that basis, a new approach for designing fluid separation processes will be developed in ENRICO, which will lead to more efficient and robust designs. The theoretical results will be validated by experiments from laboratory to pilot plant scale, and the benefits of the new approach will be demonstrated. ENRICO will thus establish a link between molecular physics and engineering practice. The results from ENRICO will have a major impact on chemical engineering world-wide and change the way fluid separation processes are designed.