The objective of SafetyCube is to develop an innovative road safety Decision Support System (DSS) that will enable policy-makers and stakeholders to select and implement the most appropriate strategies, measures and cost-effective approaches to reduce casualties of all road user types and all severities. At the core of the project will be a novel and comprehensive analysis of accident causation factors combined with newly estimated data on the effectiveness and cost-effectiveness of safety measures, not just in relation to reduction of fatalities but also the number of injured. An operational framework will be established to provide future access to the DSS once the project is completed. The project has four sub-objectives: 1. To develop new analysis methods for (a) Priority setting, (b) Evaluating the effectiveness of measures (c) Monitoring serious injuries and assessing their socio-economic costs (d) Cost-benefit analysis taking account of human and material costs 2. To apply these methods to safety data to identify the key accident causation mechanisms, risk factors and the most cost-effective measures for fatally and seriously injured casualties 3. To develop an operational framework to ensure the project facilities can be accessed and updated beyond the completion of SafetyCube 4. To enhance the European Road Safety Observatory and work with road safety stakeholders to ensure the results of the project can be implemented as widely as possible The project outputs will be framed according to the specific policy and stakeholder areas – infrastructures, vehicles and road users – so that the measures developed in the project can be most readily applied. A systems approach will ensure effective coordination between these areas. The close involvement of road safety stakeholders of all types at national and EU levels and wider will enable the DSS to be focussed on the most appropriate policy-making procedures and ensure the project outputs have global reach.

The WHO estimates that vector-borne diseases (VBD) account for more than 17% of all infectious diseases. Every year, more than 2.5 billion people are at risk of contracting dengue alone, and VBDs cause almost 1 million deaths. In the last decades several species of invasive disease carrying mosquitoes have invaded the northern hemisphere of the planet through the transport of goods, increasing international travel and climate change. In 2018 a West Nile fever outbreak transmitted by mosquitoes occurred in the EU. For this disease there are no vaccines or medications. There were 1503 cases reported in 11 countries, and 181 deaths. VBD Mobile Bio-Labs could have assisted health authorities in containing this outbreak, reducing cases and preventing deaths. Unfortunately such a system does not exist. MOBVEC will be the first VBD Mobile Bio-Lab, providing: 1- Automatic information about vector populations, obtained in real-time by smart-traps, powered by machine-learning and edge computing: insect species, sex, age, and viral infection. 2- GEOSS compliant vector risk maps of adult insects and eggs/larvae, built on field + Copernicus data; 3- GEOSS compliant disease transmission models in mosquito populations, fusing data from Copernicus, clinical and diagnostic data of reference labs, and vector risk maps; 4- GEOSS compliant citizen-science platform to reinforce the surveillance of mosquitoes using citizens as observation nodes. 5- VBD mobile bio-lab with the capacities of points 1, 2, 3 and 4 + VBD Epidemiological maps and forecast models, to be rapidly operational in the heart of outbreaks to assist first-responders. This technology will the first line of defence against disease vectors worldwide, help prevent and fight devastating disease outbreaks, and will save lives while saving millions of euros in healthcare and lost working-hours. This has never been done before, and our consortium has the interdisciplinary research capacities to make it a reality.

Urban areas are very vulnerable to climate change impacts, because of the high concentration of people, infrastructure, and economic activity, but also because cities tend to exacerbate climate extremes such as heat waves and flash floods. The objective of the Pan-European Urban Climate Service (PUCS) project is to establish a service that translates the best available scientific urban climate data into relevant information for public and private end-users operating in cities. This will be achieved by demonstrating the benefits of urban climate information to end-users, considering the sectors of energy, cultural heritage, mobility, energy, health, and urban planning. During the first half of the 30-month project, end-users (included as partners) and climate service providers will be involved in the co-design/-development of six concrete sectoral cases, to be implemented in Antwerp, Barcelona, Bern, Prague, Rome, and Vienna. Each of these cases will be subject to a detailed socio-economic impact analysis, quantifying the benefits of using urban climate information. The second half of the project will focus on upscaling and market replication, initially aiming at the extension with six new cases, involving new (non-financed) end-users. Through a business development strategy, supported by dissemination and marketing activities, we ultimately aim at acquiring six more cases by the end of the project, involving new business intermediaries without PUCS project financing, and demonstrating the long-term market viability of the service. PUCS aims at a genuine market uptake of (urban) climate services, based on a distributed network of local business intermediaries throughout Europe, enhancing the awareness for urban climate-related issues in the end-user community, and converting (mature) research results into tailored added-value information, thus removing important barriers for the deployment of urban climate services.

Mosquito-borne diseases place a heavy burden on society, causing widespread suffering and driving poverty. They are increasing in prevalence, geographical distribution and severity, representing a growing threat worldwide. Hence, there is a need for better disease intelligence, capable of anticipating and identifying eco-epidemiological risks leading to explosive epidemics and emergence in previously unaffected areas. The basis of such intelligence stems from a deep understanding of the factors that drive disease circulation, emergence and spread. This requires insights into the complex interplay between humans, pathogen-carrying mosquitoes, pathogen reservoirs (e.g. birds), and a changing environment. The E4Warning consortium brings together interdisciplinary, innovative, and open science to contribute to the One Health paradigm shift that is required to tackle the spread and transmission of zoonotic deadly pathogens, and harness this shift to nowcast and forecast mosquito-borne disease risk in a constantly changing and globally connected environment. Our work aims to disrupt disease transmission pathways connecting humans, mosquitoes, and birds through innovative eco-epidemiological modelling tools and intelligent digital solutions, co-designed and implemented by public health administrations. Open innovation strategies and big data tools are the cornerstone of the next-level One Health Early Warning Systems required in the face of mounting mosquito-borne disease threats.

Climate change is one of several drivers of recurrent outbreaks and geographical range expansion of zoonotic infectious diseases in Europe. Policy and decision-makers need tailored monitoring of climate-induced disease risk, and decision-support tools for timely early warning and impact assessment for proactive preparedness and timely responses. The abundance of open data in Europe allows the establishment of more effective, accessible, and cost-beneficial prevention and control responses. IDAlert will co-create novel policy-relevant pan-European indicators that track past, present, and future climate-induced disease risk across hazard, exposure, and vulnerability domains at the animal, human and environment interface. Indicators will be sub-national, and disaggregated through an inequality lens. We will generate tools to assess cost-benefit of climate change adaptation and mitigation measures across sectors and scales, to reveal novel policy entry points and opportunities. Surveillance, early warning and response systems will be co-created and prototyped to increase health system resilience at regional and local levels, and explicitly reduce socio-economic inequality. Indicators and tools will be co-produced through multilevel engagement, innovative methodologies, existing and new data streams and citizen science, taking advantage of intelligence generated from selected hotspots in Spain, Greece, The Netherlands, Sweden, and Bangladesh that are experiencing rapid urban transformation and heterogeneous climate-induced disease threats. For implementation, IDAlert has assembled European authorities in climate modelling, infectious disease epidemiology, social sciences, environmental economics, One Health and EcoHealth. Further, by engaging critical stakeholders from the start, IDAlert will ensure long-lasting impacts on EU climate policy, and provide new evidence and tools for the European Green Deal to strengthen population health resilience to climate change.