The main aim of the SUPERA project is to implement 6 fully-fledged Gender Equality Plans to articulate a structural understanding of gender inequalities, stereotypes and biases in research as a cross-cutting issue to tackle in their complex, multi-layered dimensions and the inclusion of a gender perspective in research and academia, with a holistic set of measures addressing the above-mentioned objectives of the European Commission’s strategy: - Building gender sensitive career management and workplaces; -Transforming decision-making towards accountability, transparency and inclusiveness; and - achieving excellence through strengthening the gender dimension in research and knowledge transfer. Any devised solution to be operationalized through the GEPs should take into account contextual features to reach effectiveness, and that innovative measures or initiatives designed by SUPERA should be brought to the knowledge of relevant stakeholders to feed their own expertise regarding SUPERA’s key areas. Partners within SUPERA’s consortium reflect the ambition of this project: maintaining a dual approach, RPOs are characterized by their size and impact potential, and their multidisciplinarity and vast academic offer (UCM, UNICA, CEU, UC-CES), while RFOs (MINECO, RAS) from the same partner countries as UCM and UNICA, respectively, are integral in maximising outreach and comitment as relevant public entities on a national level. This fact, while adding a complexity layer to GEP implementation, expands the scope of the project and the potential long-term impacts regarding sustainability and institutionalisation. SUPERA will be designed based on four core principles that will tackle the main barriers of implementing GEPs in research organizations: cumulativeness; innovation; inclusiveness and sustainability.

TechCare is a multi-actor approach project aiming to develop appropriate business models using innovative technologies to improve welfare management for all EU small ruminant (SR) systems, to enable stakeholders to choose animal welfare-friendly products. SRs play a key socio-economic role in Europe, especially in harsh environments where innovative technology is not much implanted. SRs are often managed as a flock/herd, allowing only average welfare states to be considered. Innovative technologies are a unique opportunity to monitor and improve SR welfare management at the individual or flock/herd level, along the value chain. Based on SR welfare state-of-the-art, TechCare will undertake a multi-actor approach to encapsulate stakeholders’ expectations in terms of welfare and innovative technologies, and provide them with adapted solutions, in a co-design approach. TechCare will cover all stages of SR production and build novel welfare approaches to develop and validate tools, early warning systems, algorithms and indicators for efficient identification of welfare issues, including positive welfare, to include them in welfare management models. The innovative technologies identified in TechCare will pass different stages of validation, from prototyping to large scale studies. TechCare identified solutions will therefore be replicable and adapted to different SR systems, production purposes, and value chains, for improvement of SR welfare management EU-wide. Business models will be constructed and validated with stakeholders. Dissemination, communication and exploitation materials will be produced and widely shared for easy use of TechCare solutions, ensuring their uptake and relevance to all sectors and stakeholders. TechCare will offer a durable improvement of SR welfare management using innovative technologies along the whole value chain and across the EU, and will act as an example in terms of approach and solutions for other species and production systems.

TEMA will greatly improve Natural Disaster Management (NDM, e.g., for wildfires, floods) by automating precise semantic 3D mapping and disaster evolution prediction to achieve NDM goals in near-real-time. It will analyze and fuse many heterogeneous extreme data sources: smart drone and in-situ sensors, remote sensing data, topographical data, meteorological data/predictions and geosocial media data (text, image and videos). TEMA will focus on the extreme nature of the data, due to their varying resolution and quality, very large volume and update rate, different spatiotemporal resolutions and acquisition frequencies, real-time needs and multilingualism. It will develop an integrated, ground-breaking NDM platform, focusing on real-time semantic extraction from multiple heterogeneous data modalities and sources, on-the-fly construction of a meaningful semantically annotated 3D disaster area map, prediction of disaster evolution and improved communication between service providers and end-users, through automated process triggering and response recommendations. Semantic analysis computations will be distributed across the edge-to-cloud continuum, in a federated manner, to minimize latency. Extreme data analytics will be performed in a trustworthy and transparent way, by greatly advancing state-of-the-art AI and XAI approaches. The constantly updated 3D map and the disaster evolution predictions will form the basis for an advanced, interactive, Extended Reality (XR) interface, where the current situation will be visualized and different response strategies will be dynamically evaluated through simulation by NDM personnel. The innovative, scalable and efficient TEMA platform will provide precise NDM support, based on extreme data analytics. It will be validated on two critical disaster use-cases (wildfires and floods), in four EU countries, and will form the basis for the TEMA NDM-Analytics-as-a Service (NDM-AaaS) model.

Systems Innovation Approach (SIA) addresses the growing complexity, interdependencies and interconnectedness of modern societies and economies, focusing on the functions of the cross-sectoral system as a whole and on the variety of actors. The Climate Innovation Window (CIW) is the EU reference innovations marketplace for climate adaptation technologies. ARSINOE shapes the pathways to resilience by bringing together SIA and CIW, to build an ecosystem for climate change adaptation solutions. Within the ARSINOE ecosystem, pathways to solutions are co-created and co-designed by stakeholders, who can then select either existing CIW technologies, or technologies by new providers (or a combination) to form an innovation package. This package may be designed for implementation to a specific region, but its building blocks are transferable and re-usable; they can be re-adapted and updated. In this way, the user (region) gets an innovation package consisting of validated technologies (expanding the market for CIW); new technologies implemented in the specific local innovation package get the opportunity to be validated and become CIW members, while the society (citizens, stakeholders ) benefits as a whole. ARSINOE applies a three-tier, approach: (a) using SIA it integrates multi-faceted technological, digital, business, governance and environmental aspects with social innovation for the development of adaptation pathways to climate change for specific regions; (b) it links with CIW to form innovation packages by matching innovators with end-users/regions; (c) it fosters the ecosystem sustainability and growth with cross-fertilization and replication across regions and scales, at European level and beyond, using specific business models, exploitation and outreach actions. The ARSINOE approach is show-cased in 9 widely varied demonstrators, as a proof-of-concept with regards to its applicability, replicability, potential and efficacy.

SheepNet is a thematic network project about practice-driven innovation to improve sheep productivity (number of lambs weaned/ewe mated): a critical component of farmers’ income and therefore of the sustainability and attractiveness of sheep farming. SheepNet will establish durable exchange of scientific and practical knowledge among researchers, farmers and advisors, through a multi-actor and transdisciplinary approach at national and international levels and by the broad involvement of European Agriculture knowledge and Innovation Systems. This will promote the implementation and dissemination of innovative and best technologies and practices for the improvement of sheep productivity. To maximize impact and ensure a wide coverage of different farming systems, SheepNet will bring together six main sheep producing EU countries, plus Turkey, and Australia, New Zealand, and every relevant EU network. The project aims to: • produce a scientific, technical and practical knowledge reservoir through a combined "top-down and bottom-up" approach and the strong involvement of 45 innovative farms; • foster cross-fertilization through multi-actors workshops at national and international levels, a broad and interactive participation of the "sheep community" via social networks and an interactive platform; • develop an easily understandable support package of communication and learning material, web-based tools, interactive platform, designed to help both scientists and stakeholders and a strong interactions with the EIP AGRI Service Point will guarantee long-lasting and wide accessibility of the SheepNet results.