Society as a whole is increasingly exposed and vulnerable to natural disasters because extreme weather events, exacerbated by climate change, are becoming more frequent and longer. To increase the resilience of European citizens and assets to natural disaster we propose I-REACT: Improving Resilience to Emergencies through Advanced Cyber Technologies. The proposed system targets public administration authorities, private companies, as well as citizens in order to provide increased resilience to natural disasters though better analysis and anticipation, effective and fast emergency response, increased awareness and citizen engagement. I-REACT integrates existing services, both local and European, into a platform that supports the entire emergency management cycle. Leveraging on innovative cyber technologies and ICT systems, I-REACT will be able to enable early planning of disaster risk reduction actions, achieve effective preparedness thanks to risk assessment and early warnings, and efficiently manage emergency responses by empowering first-responders with up-to-date situational information and by engaging citizens through crowdsourcing approaches and social media analysis. I-REACT will integrate multiple systems and European assets, including the Copernicus Emergency Management Service, the European Flood Awareness System (EFAS), the European Forest Fire Information System (EFFIS), and European Global Navigation Satellite Systems (E-GNSS), e.g. Galileo and EGNOS.I-REACT will be structured as a user-driven project, integrating the requirements from all main stakeholders as well as the guidelines that emerged during European workshops and seminars related to emergency management. I-REACT services will also enable new business development opportunities around natural disasters triggered by extreme weather conditions, which will reduce the number of affected people and loss of life, lowering the environmental and economic costs due to damaged assets within society.

EFRA will explore how extreme data mining, aggregation and analytics may address major scientific, economic and societal challenges associated with the safety and quality of the food that European consumers eat. EFRA’s goals are: i) develop and test solutions to discover and distil food risk data from heterogeneous and dispersed/scarce data sources with minimal delay and appropriate format; ii) design relevant human aspects & interactions with users to measure usefulness for human risk prevention actions in real-world use-cases iii) demonstrate how solutions enable the development of trustworthy, accurate, green and fair AI systems for food risk prevention iv) achieve groundbreaking advances in performance and effectiveness of food risk data discovery, collection, mining, filtering, and processing; v) integrate relevant technologies (big data, IoT, AI) to foster links to food data innovator communities vi) position its contributions into the overall ecosystem of public & private stakeholders that share data, technology and infrastructure to ensure the safety and quality of food in Europe. To achieve these goals, EFRA will design, test, and deploy tools and undertake appropriate initiatives to facilitate their uptake, elicit feedback, and engage stakeholders. The EFRA tools are: (i) EFRA Data Hub, offering intelligent crawlers and data annotation & linking modules to search, mine, process, annotate, and link dispersed, multilingual, heterogeneous, and deep/hidden food safety data sources (ii) EFRA Analytics Powerhouse: offering modules running over a green cloud HPC that distil useful insights & signals from the EFRA Data Hub to train privacy-preserving, explainable, green food risk prediction AI models (iii) EFRA Data & Analytics Marketplace: A front-facing user-friendly web app that allows interested users to discover, purchase/use, and contribute data, AI models, and analytics modules, creating an economy where data holders and data consumers engage and trade.

The overall aim of the project is to foster diverse participation in the heritage domain through a process of "citizen curation". Citizens will be supported to: develop their own personal interpretations of cultural objects; work together to present their collective view of life through culture and heritage; and gain an appreciation of alternative cultural viewpoints. Methods will be codesigned that can be used by citizen groups to produce personal interpretations of cultural objects and analyse and compare them against the interpretations of others. Tools will be developed for modelling users and groups and recommending content in a way that assists citizen groups in building a representation of themselves and appreciating variety within groups and similarity across groups to enhance social cohesion. A Linked Data infrastructure will support citizen curation using social media platforms in a way that gives heritage institutions control over rights protected digital assets and access to citizens responses to their collections. User experiences will be designed that enable inclusive participation in citizen curation activities across cultures and abilities. A series of citizen curation case studies with a diverse set of museums and citizen groups will demonstrate how the approach can promote inclusive participation and social cohesion in a variety of contexts. The project brings together 13 partners from 7 countries. The consortium comprises: three SMEs from the visitor guide (GVAM), mobile game (PadaOne) and data mining (CELI) sectors; four heritage institutions (Design Museum Helsinki, Irish Museum of Modern Art, Gallery of Modern Art Turin, Hecht Museum); and seven research centres (Bologna, Aalto, Aalborg, OU, UCM, Turin, Haifa) with expertise in codesign, museology, HCI, Linked Data, narratology, ontologies, visualisation and user modelling.