BIORIMA stands for Biomaterial Risk Management. BIORIMA aims to develop an integrated risk management (IRM) framework for nano-biomaterials (NBM) used in Advanced Therapeutic Medicinal Products (ATMP) and Medical Devices (MD). The BIORIMA RM framework is a structure upon which the validated tools and methods for materials, exposure, hazard and risk identification/assessment and management are allocated plus a rationale for selecting and using them to manage and reduce the risk for specific NBM used in ATMP and MD. Specifically, the IRM framework will consist of: (i) Risk Management strategies and systems, based on validated methodologies, tools, and guidance, for monitoring and reducing the risks together with methods for evaluating them; (ii) Validated methodologies and tools to identify the potential Exposure and Hazard posed by NBM to humans and the environment; (iii) A strategy for Intelligent Testing (ITS) and Tiered Risk Assessment for NBM used in ATMP and MD. BIORIMA workplan consists of 7 workpackages covering the major themes: Materials, Exposure, Hazard and Risk. BIORIMA will generate methods and tools for these themes for use in risk evaluation and reduction. The BIORIMA toolbox will consist of validated methods/tools for materials synthesis; reference materials bank; methods for human/environment exposure assessment and monitoring; (eco)-toxicology testing protocols; methods for prevention of accidental risks – massive release or explosion – A tiered risk assessment method for humans/environment; An intelligent testing strategy for NBM and risk reduction measures, including the safer-by-design approach. BIORIMA will deliver a web-based Decision Support System to help users, especially SME, evaluate the risk/benefit profile of their NBM products and help to shorten the time to market for NBM products.

Trees and forests are a proven nature-based solution that contribute to sustainable urban development. Their potential for delivering ecosystem services, enhancing biodiversity and contributing to the wellbeing of urban societies is often underestimated and underused. CLEARING HOUSE provides evidence and tools that facilitate mobilising the full potential of urban forests as nature-based solutions (UF-NBS) for rehabilitating, reconnecting and restoring urban ecosystems. UF-NBS comprise every measure a city can take to address urban development challenges by deploying tree-based ecosystems. CLEARING HOUSE will review existing knowledge and will collect new data from large scale analyses (WP1), and evidence emerging from the comparative analysis of ten case studies in Europe and China (WP2), including a citizen science approach. Knowledge will relate to the social, economic and policy drivers of UF-NBS, their design and implementation, and their impacts on urban ecosystem and human wellbeing across continents. CLEARING HOUSE implements a co-design approach early in the project to ensure that its research programme exactly fits the demand of end-users, and engages stakeholders and scientists in problem-oriented knowledge generation through a set of targeted learning mechanisms (WP3). CLEARING HOUSE then develops user-targeted outputs to support cities, planners, business and civil society in implementing UF-NBS. Inter alia, decision support tools such as an online application, a global benchmarking tool and guidelines will provide knowledge on the design, governance and management of UF-NBS, and on sustainable business models relating to them (WP4). Target group specific communication and dissemination activities complement the project. These include Sino-European science-policy symposia (WP5) targeting senior decision-makers, activities targeting businesses and civil society organisations, and measures reaching out to citizens including school children (WP5).

"DiTECT will develop an integrated framework for real-time detection, assessment, and mitigation of biological, chemical and environmental contaminants throughout the food supply chain. Bringing together research, industrial and food authority partners representing the agro-food industry in the EU and China, DiTECT aspires to establish the foundation for future food safety monitoring platforms, through the development of a standards-based, modular, Big Data-enabled platform, capable of accurately predicting food safety parameters of a given food product based on data collected in real-time via cost-efficient sensors, at crop, grain storage, livestock and finally in the food supply, incorporating blockchain processes. DiTECT integrates multidisciplinary research teams from fields such as microbial and spectroscopic fingerprinting technologies; emerging ICT-based food tracing systems; signal analysis and data mining. Microbial profiling will be attained via conventional microbiological analyses in tandem with advanced molecular methods (e.g., NGS-based metagenomics), while spectroscopic profiling will be based on spectral data generated using appropriate rapid, non-invasive methods and sensor devices. DiTECT recognizes that current food-chains are lacking a complete snapshot view of food safety at the crop/livestock and finished product levels, and so foresees the development of a cloud-enabled storage system for all data corresponding to different insights of product-specific safety aspects, to be integrated into. The novel food safety services will be demonstrated in four (4) real-world Pilots with the active engagement of 21 EU and 13 CN partners, using real datasets to validate efficiency improvements. The carefully structured work plan embodies a “multi-actor” approach to prototype and validates a ready-for-take-up framework of significant exploitation potential for the agro-food industry."