The project builds synergistically upon textual and oral stories to explore the past of small communities, with the goal of restoring the public’s emotional connection to discontinued traditions. In doing so, it pays greater attention to segments of cultural heritage that have long been overshadowed by monuments or sites of larger significance. Texts and interviews encapsulate expressions of collective agency, allowing current-day SSH academics to investigate those natural processes that gave prominence to the effective management of limited supplies of human and material resources. With a focus on schooling, recycling practices, and affective-based communication of group agents, RESTORY intends to investigate the formation of sustainable attitudes and strategies, learn from the lessons of the past, and integrate them into the future configuration of commitments. Ultimately, emulating the resource maximization frameworks intuitively designed by small-scale communities over a long period of time will allow the transfer of know-how from academia to local memory institutions, stakeholders, and citizens, contributing to the sustainable development of the continuously transformative heritage contexts. The research aspects of the project will consist of methodologically-hybrid case studies, targeting the textual and oral heritage of the communities inhabited in the past by Transylvanian Saxons, a group of German-speaking colonists settled about 800 years ago in nowadays Romania, in conjunction with 10 international case studies, all offering a wider range of expertise and accumulation of knowledge within the research target. RESTORY also presents the opportunity to attract cultural professionals from archives, museums, and libraries to training sessions designed to enhance the correct and comprehensive management, conservation, and capitalization of cultural heritage, all in relation to the needs of the wider public and administrative decision-makers at a local level.

The ClimAIr project will expand the evidence-based understanding of climate change, air pollution, and non-communicable respiratory diseases by using Artificial Intelligence (AI) tools. It will gather data on greenhouse gases levels and disaster risks, information on serious air pollutants and respiratory diseases' prevalence. The AI-powered tools will be employed to generate better intervention methods and improve public health outcomes. Federated Learning (FL) will be used to develop AI models to protect patients' privacy. By raising public awareness and delivering the ClimAIr tool specifically designed to health workers, urban planners and policy makers - the project aims to influence policy decisions, promote healthier environments, and reduce respiratory diseases in Europe, which will be tested and validated the ClimAIr tool in specific municipalities that are part of the project. ClimAIr draws on a consortium of 21 partners from 15 European countries, including carefully selected health centres across Europe in Spain, Luxembourg, Ukraine, Italy, France, Germany, Greece, Romania and Poland focused on respiratory diseases, which will provide disease data and explore metabolic routes of the studied contaminants/diseases. ClimAIr is composed of an interdisciplinary team formed by research centres, ethical AI and modelling experts, SSH specialists, municipal governance, and a Communication & Dissemination (C&D) expert team dedicated to achieving and spread the results of the project.