The policies driving the green and digital transitions, or twin transitions, are intended to level the field to achieve the European Growth Model and attain the EU Green Deal and the UN’s SDGs. However, these policies have had unintended and unforeseen effects, creating new inequalities and/or aggravating existing ones. Those primarily affected are social groups already at risk and EU’s most vulnerable regions. Public authorities and policy-makers at local, national and European levels therefore need evidence-based understanding of these inequalities and concrete ways to prevent and/or mitigate these. The READJUST project aims to suggest policy options for overcoming these (potential) trade-offs between efficiency and equality in twin transitions, in the key sectors of mobility and agri-food. The green and digital policies are intended to level the field for attaining SDGs; however, they may return uneven distribution of access to the transitions and their benefits. READJUST aims to suggest options for overcoming the perceived trade-off between efficiency and equality in policy and to make inclusive growth a reality. Policymakers portray a future that is green and digital for the EU, and they aim to continuously contain the unintended consequences of the green and digital transitions in terms of inequalities. Generating zero negative effects on the climate can be efficiently achievable by twining green and digital transitions. Nonetheless, individually and jointly, the transitions might widen the existing inequality gaps. This project aims to contribute to policies for fair and just twin transitions to mitigate existing inequalities driven by the twin transitions and minimize the transitions’ unintended consequences for equality. In this project, we strive to address the inequalities created or exacerbated by the twin transitions policies in certain domains. Policies of green and digital transitions which are aimed at the growth of the entirE, or its subsections.

If food loss and waste (FLW) were a country, it would be the third leading cause of greenhouse gas emissions. FLW also burdens waste management systems and exacerbates food insecurity, , contributing significantly to the three global crises of climate change, nature and biodiversity loss, and pollution and waste. PRECIOUS, an transdisciplinary alliance of 20 entities from 11 EU countries, believes that reliable data on the environmental impacts of FLW is crucial for accelerating EU progress towards climate targets and reducing environmental impacts (including biodiversity) across the food supply chain. The project´s collective understanding is that the challenge goes beyond measuring the amount of food saved or CO2 emissions. When food is wasted, valuable and limited resources such as water, land use, and energy are lost, while 8.9% of the worldwide population is suffering from hunger accordingto FAO, therefore, depleting the planet's natural resources. It is critical to broaden our understanding of the issue to transform the food system and raise public awareness that motivate change. PRECIOUS aims to contribute to the transformation of food systems by addressing existing data gaps and developing a unified and openly accessible evaluation framework to quantify the economic, environmental, and social impacts of strategies to reduce FLW, taking into account potential rebound effects. The project will engage stakeholders from 2 Use Cases (Spain and Greece) and 3 Co-creation and Replication Nodes (Poland, Lithuania, Hungary) to address systemic causes across geographical boundaries. The project aims to induce a fundamental change in attitudes and behaviours towards food consumption and disposal through collaborative efforts and innovative methods, fostering a more just and sustainable EU food system.

The overall aim of the REALM project is to create a collaborative framework for regulatory authorities, application developers, healthcare professionals and policy officers to co-create and evaluate software for medical and healthcare use. We propose to create an inclusive platform leading to a transparent ecosystem for evaluation and certification of software in healthcare where both the developers and the regulatory (and Health Technology Assessment) bodies have access to a standardized set of technology stack and data. This will be achieved by first mapping and analyzing regulations, legislative efforts and guidelines from EU, national bodies and around the world on software in healthcare practice. These will guide the roadmap towards building an inclusive, fair and multi-stakeholder ecosystem. The scaffold for an integrated architecture will be developed in collaboration with DARWIN, based on standardized data models and optimized data driven methodologies for the effective use of real-world data (RWD) in healthcare regulatory practice. The architecture will consist of four components: two technological infrastructures, a living lab and a post-marketing surveillance module. i) a federated cloud-based data resources catalog will be established, to bring together currently available RWD data and synthetic data to facilitate the data needs of the platform. ii) Regulatory Toolbox will be established to bring together standardized tools to train, test, evaluate and monitor medical/healthcare software. iii) Living lab environment for piloting medical/healthcare software technology assessment taking into account human-software interactions as part of the system. iv) Post-marketing surveillance with RWD for ensuring quality standards of the certified software in practice. Finally, building on the proposed architecture, five real Medical Device Software (MDSW) projects are going to be implemented across 3 countries (Netherlands, Belgium and Greece).

The widening partner's involvement enhances the project's capacity for more future-oriented and more resilient policy analysis and co-creation. In a nutshell, the 4CF will provide a process for testing READJUST solutions (such as the PAET roadmap or policy measures targeting Mobility and Agrifood) in diverse possible futures of post-Twin Transition (scenarios set in 2050). Future-proofing activities will involve READJUST stakeholders allowing them to get fresh perspectives and insights on Twin Transition trajectories in the period of 2025-2050, as well as on potential inequalities, gains, enablers and blockers thereof. READJUST Observatory will benefit from future-proofing methodologies (e.g. scenario analysis, Futures Wheel, Wind Tunneling) and READJUST stakeholders will get access to inspirational and reliable tools for future-oriented policy analysis, assessment, and co-creation. In addition, the visibility and representation of WideThe widening partner's involvement enhances the project's capacity for more future-oriented and thus more resilient policy analysis and co-creation. In a nutshell, the new partner will provide a process for testing READJUST solutions (such as the PAET roadmap or policy measures targeting Mobility and Agrifood) in diverse possible futures (scenarios) of post-Twin Transition. Future-proofing activities will involve READJUST stakeholders allowing them to get fresh perspectives and insights on Twin Transition trajectories, as well as on potential inequalities, gains, enablers and blockers thereof. READJUST Observatory will benefit from future-proofing methodologies (e.g. scenario analysis, Futures Wheel, Wind Tunneling) and READJUST stakeholders will get access to inspirational and reliable tools for future-oriented policy analysis, assessment, and co-creation. The hoped for outputs are: more resilient policy recommendations and replicable practices that can be readily adopted by stakeholders from policy-making and corporate environments.

Lung Cancer (LC) is the biggest cancer killer worldwide, with five-year survival following diagnosis varying between 5% to 25%. Though tobacco smoking has long been recognized as the major risk factor for LC, many cases (incl. LC patients that are non-smokers) cannot be explained by this reason. In this sense, LUCIA aims to establish a novel toolbox for discovering and understanding new risk factors that contribute to LC development. The toolbox encompasses the analysis of three aspects: (i) personal risk factors, which include a persons exposure to chemical pollutants and behavioural and lifestyle factors; (ii) external risk factors, such as urban, built and transport environments, social aspects and climate; and (iii) biological responses to the personal and external risk factors, including changes in genetics, epigenetics, metabolism and aging. Key components of the toolbox for analysing personal and external risk factors include retrospective and prospective cohort databases, AI models, wearable devices, novel non-invasive sensors, and multi-omics. Together, these tools will be used to identify the effects of a wide range of environmental, biological, demographic, community and individual-level risk factors associated with the formation of LC. Molecular changes associated with the risk factors identified by this set of tools will then be validated by cell and molecular biology methods and through in vivo analysis. The impact of the identified personal and external risk factors and the associated biological responses will be then validated in three clinical use cases: general population risk assessment and screening, precision screening of high-risk populations, and digital diagnostics. The resulting evidence within LUCIA will be translated into policymaking recommendations, with the aim to implement them in a screening program for LC. This action is part of the Cancer Mission cluster of projects on Understanding'.