The WEnnovate project is a collaborative effort to create new systems and solutions to address urgent complex and systemic challenges. The focus is on the transition to sustainable renewable energy and cross-sector activities in energy and digital innovations, aligned with the European Commission's energy directives. The project aims to strengthen the pathways towards Clean Energy for All Europeans and boost Local Energy Communities and Energy Sharing. Social entrepreneurs and professionals play a critical role in developing new solutions to societal problems and environmental challenges, making them important drivers of innovation. The project is divided into two phases: an exploratory phase focusing on social entrepreneurs with deep tech and digital innovations, and a stakeholder engagement phase focusing on engaging stakeholders to gather insights for faster alignment on policy advice and action planning. The project's partners come from Hungary, Slovakia, Ukraine, and the Netherlands, with a complementary role in ensuring the widest possible engagement of dialogue with ecosystem actors and the sound delivery of transitional action plans. The WEnnovate project aims to contribute to the achievement of the Sustainable Development Goals and the strategic objectives of the New European Innovation Agenda. The project will conduct research and co-design methodology to building partnerships, analysing existing innovation agendas and strategies, identifying areas of competitive advantage for sustainable economic growth, and mapping gaps, needs, and opportunities. The consortium will also enhance synergies and complementarities of their programmes and encourage the alignment of their innovation and related policies impacting innovation in line with the new European Innovation Agenda, as well as creating new frameworks to support ecosystems.

Biodiversity is under severe pressure due to a myriad of problems, including but not limited to habitat fragmentation, overexploitation, climate change, pollution, invasive species and hunting. Changes in land and sea use can lead to conflict situations with production animals and/or human communities (human-wildlife conflict). The exploitation of natural resources brings with it illegal activities: poaching of species of flora and fauna that have a high value on the (black) market, trading of rare and exotic animals and plants and setting fire to forestry and nature areas to force land-use designation changes to agriculture or commercial uses. To ensure that ecosystems are healthy, resilient to climate change and rich in biodiversity to keep delivering the essential range of services, we need better understanding of why and where biodiversity is declining and what the key triggers are. We propose a model-driven and continuous form of ecosystem monitoring. By assessing not only numbers of species and state, but also the modelled ecological and anthropogenic processes within an ecosystem, we are able to find cause-effect relations and improve our monitoring models based on retrofits and simulations to understand changes even better. The models (Digital Twins), are thus a means for learning and the creation of context to translate environmental observations into facts and actionable information (intelligence) for site managers and policy makers. As almost all pressures on biodiversity are man-induced, we combine the domains of ecology and forensic science. This novel approach gives us access to robust scientific methods to detect and recognise (traces of) human (illegal) activities that negatively affect the environment. We will make use of remote sensing & data science (e.g AI, semantics). To ensure that theory, models and practice reinforce each other, we use an iterative approach, including many demonstrations and field-tests to gain feedback and maximize impact.