WARMEST strategic goal is to create a novel comprehensive Decision Support System that will carry out a Cultural Heritage Risk Analsys (CHRA) and suggest improvements in maintenance and disaster management procedures for cultural and natural heritage sites. The maintenance and disaster management plans developed with the support of the Decision Support System, will consider current and future scenarios, setting priorities for the actions to be taken, both on economic and art historical grounds, delivering required information where and when needed, in a user-friendly way. To this end the consortium will develop new technologies to collect data on the conservation status of the sites and new tools to analyse it, as there is presently a lack of data that is specifically relevant to understanding climate change impacts; these technologies in case of emergence, can help to assess the impact of events quickly and on large areas. WARMEST is challenging from a management and from an engineering point of view, given that regulations are strict (to preserve the natural, archaeological and historical values), the factors to take into consideration are complex and not homogenous (technical, economic, historical), the information to deliver differentiated according to users and concise or detailed when needed. The goals set by WARMEST can be met only by creating an heterogeneus consortium, involving knowledgeable experts from various fields from private and public institutions. 9 beneficiaries will participate to the WARMEST consortium; 3 academic institutions, 2 association involved in heritage management and 4 private companies. 4 end users will be commited to the project as external partners to obtain the right mixing of knowledge.

The extensive objective of this RISE programme, called RRREMAKER, is to develop an artificial intelligence (AI) based maker platform for the design and production of handcrafted, rapid prototyped and reconditioned products, based on the availability of used goods and recyclable waste collected, getting inputs from, and connecting together, digital manufacturers and traditional crafts, designers/creative companies and green companies, establishing a new hybrid managing model based on the communities of knowledge, ecodesign and democratization invention, integrating orange, sharing and circular economy. As a disruptive approach, besides being a framework in which the different fields involved can share information, the proposed intelligent computational platform itself will be a main actor in the creative process, by integrating cutting-edge algorithms of generative design, as genetic and superquadric-based algorithms, machine learning classifiers, algorithms for big data, cloud computing, and experimental data will predict structures, forms, materials, colours, ornaments, etc, based on traditional artisan and innovative design parameters, and recycling materials. The platform will also be a “sorting point” to share information between recyclable material collectors and ecodesigners/green manufacturers, connecting them to each other. Also, based on the sales information archived, the platform will be able to generate maps of features of the goods already on the market and automatically propose to the manufacturers changes to make them innovative and more appealing.