The strategic objective of Small4Good is to enable and activate small-forest owners to safeguard biodiversity and enhance the provision of ecosystem services from Europe's forests through multifunctional and locally adapted management models that are financially supported by PES and implemented with support by of digital- and AI-based solutions. Snall4Good will develop multifunctional management and business models for owners of small forest financially enabled by schemes for PES with focus on biodiversity and carbon farming. The management models are supported by digital and AI solutions to improve the capacity and engagement of small-forests owners. To ensure the long-term impact the models must be aligned with the motivations of the individual owners and the local ecosystem and socioeconomic conditions. Hence, Small4Good focuses on understanding the motivations of small-forest owners and pursues the development of business and management models through a multi-actor living lab approach in four regions across Europe. This follows a co-creation approach that promotes rapid acceptability, prototyping, and implementation to outline realistic locally adapted pathways towards multifunctionality that are aligned with the ambitions outlined in the EU Forest Strategy. The lessons learned will be used to enable small-forest owners across Europe to enter the pathway towards sustainable and multifunctional management as a basis for a fair and inclusive transition towards the bioeconomy. Small4Good is aligned with the work programme by providing outcomes contributing to the policy goals of the European Green Deal including increasing the multifunctional role and resilience needs under climate change and contribution to halting and reversing biodiversity loss. This is achieved through better understanding of the motivations of small-forest owners, local small-scale management models based on implementation of carbon farming and PES.

Considering the socio-ecological transition of Europe 2030, and towards a more resilient and informed community, focusing on the forests that are near wildfire risk, TREEADS aims to build upon state-of-the-art high TRL products and unite them in a holistic Fire Management platform that optimize and reuse per phase the available Socio-technological Resources in all three main phases of Wildfires. For the prevention and preparedness TREEADS propose the use of a real-time risk evaluation tool that can receive multiple classification inputs and work with a new proposed neural network-powered Risk factor indicator. To create a model of Fire adapted communities (FAC) in parallel to insurance incentives, TREEADS will use alkali activated construction materials (AAM) integrating post-wildfires wood ashes (PWA) for fire-resilient buildings and infrastructure. TREEADS also uses a variety of technological solutions such as the Copernicus infrastructure, and a swarm of small drones customized for accurate forest supervision. In the area of Detection TREEADS propose a variety of toolsets that will accommodate most needs. Stemming from Virtual reality for the training, wearables for the protective equipment of the emergency responders. to UAV (drones), UAG and airships for improving capacity in temporal and spatial analysis as well as to increase the inspected area coverage. Last, TREEADS will build a new land and field-based restoration initiative that will use all modern techniques such as agroforestry, drones for seed spread, Internet of things sensors that will be able to adapt the seeding process based on the ground needs and on the same time with the help of AI to determine post-fire risks factors. TREEADS solution will be demonstrated and validated under real operating conditions. Demonstration will involve Eight complex pilot implementations executed in seven EU countries and in Taiwan.