Agency: European Commission | Branch: H2020 | Program: RIA | Phase: WASTE-6b-2015 | Award Amount: 4.25M | Year: 2016
Europes cities are some of the worlds greatest tourism destinations. The socio-economic impact of tourism is extraordinary and urban tourism, but it brings at the same time a range of negative externalities, including high levels of unsustainable resource consumption and waste production. In comparison with other cities, tourist cities have to face additional challenges related to waste prevention and management due to their geographical and climatic conditions, the seasonality of tourism flow and the specificity of tourism industry and of tourists as waste producers. UrBAN-WASTE will support policy makers in answering these challenges and in developing strategies that aim at reducing the amount of municipal waste production and at further support the re-use, recycle, collection and disposal of waste in tourist cities. In doing so UrBAN-WASTE will adopt and apply the urban metabolism approach to support the switch to a circular model where waste is considered as resource and reintegrated in the urban flow. UrBAN-WASTE will perform a metabolic analysis of the state of art of urban metabolism in 11 pilot cities. In parallel a participatory process involving all the relevant stakeholders will be set up through a mobilization and mutual learning action plan. These inputs will be integrated in the strategies along with a review of the most innovative existing technologies and practices in the field of waste management and prevention. The strategies will then be implemented in the 11 cities and the results will be monitored and disseminated facilitating the transfer and adaptation of the project outcomes in other cases.
Agency: European Commission | Branch: H2020 | Program: MSCA-RISE | Phase: MSCA-RISE-2016 | Award Amount: 2.34M | Year: 2016
Regulators and industries are challenged by the difficulty to analyse and predict the impact of nonlinear environmental processes on short-term and long-term responses of ecosystems to environmental change. Until very recently, the development of most conventional monitoring, forecasting and prediction tools has been based on the assumption of stationary environmental systems. In the context of global change these tools are increasingly pushed towards and even beyond their design limits (the latter resulting in the first line from the prevailing limitations in spatial and temporal resolution of environmental observations). For this project, we propose a rationale stating that only novel, high-frequency/high-resolution environmental monitoring and predictive modelling will yield new process understanding of ecosystem functioning. Technological progress offers as many opportunities as it triggers challenges: what is needed now are new strategies to generate, manage and analyse BIG DATA at unprecedented spatial and temporal resolution. Innovation can only stand as a synonym for significant positive changes if [a] we manage to clearly state the challenges (global change & non-stationarity) and problems (generating and managing high-frequency information) and [b] transform them into solutions, i.e. the quantification and prediction of environmental responses to global change as a prerequisite for designing and implementing adaptation and/or mitigation strategies wherever needed. The timely outcomes of this research project will hence be of great relevance for the scientific community, regulatory agencies, and the private sector.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ISIB-04b-2015 | Award Amount: 4.00M | Year: 2016
European forests are expected to provide a broad range of ecosystem services (ES). This capacity is however threatened by the uncertainties of climate change, the complex dynamics of evolving global markets and the pressures for increased use of bioenergy. Such challenges cannot be effectively addressed with an uncritical regional or national commitment to traditional forest management models (FMMs), as these are unlikely to ensure the sustained long-term provisioning of desired ES, let alone their optimised delivery. ALTERFORs goal is thus to facilitate the implementation of FMMs better suited to meeting the challenges of the 21st century by: (1) Identifying and developing FMMs robust in their capacity to deliver ES and overcome projected socio-ecological risks and uncertainties; (2) Assessing the impact of different FMM combinations in terms of resultant ES baskets on the European and landscape level, and (3) Facilitating the implementation of desired FMMs and improving cross-national knowledge transfer regarding their benefits, costs, management, and utilization. The project will involve a consortium of 19 organisations from nine countries chosen due to their possession of the transdisciplinary expertise necessary to achieve these objectives, and for ensuring an encompassing representation of Europes socio-economic conditions and prevailing forest management paradigms. Based on carefully designed case studies, the consortium will make sure realistic models of forest owner behaviour are employed; guarantee the involvement of forest stakeholders throughout the project; anchor the desired FMMs to relevant forest actors; and help disseminate project findings to local, national and European stakeholders. The main long-term impact of ALTERFOR is the implementation of FMMs that secure the capacity of Europes forests to continue providing a balanced ES basket that societies will depend upon over the coming century.
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: RUR-10-2016-2017 | Award Amount: 2.00M | Year: 2017
Grasslands are vitally important for European agriculture. The 20 partners of Inno4Grass gather farmers organisations, extension services, education and research in eight countries (Germany, Belgium, France, Ireland, Italy, the Netherlands, Poland & Sweden) where grasslands contribute a major share of the agricultural area. The overall objective of the project is to bridge the gap between practice and science to ensure the implementation of innovative systems on productive grasslands to achieve profitability while providing environmental services. The associated animal productions are dairy and beef cattle and sheep. Inno4Grass will set up a Facilitator Agents network, capture novelties from innovative farms scrutinized via 85 case studies, discuss and synthesize them in electronic farm networks and through cognitive mapping. It will upgrade this capital via multi-actor approaches and science dialogue, transfer innovation capital and boost collaboration and exchanges beyond the borders of regions and among Member States (MS). Dedicated dissemination approaches and events like national and European Wikimedia, decision support systems and grassland awards are designed and applied to convey innovations to practice with highest acceptance by practitioners and beyond the project term. Inno4Grass will ensure delivery and training of grassland knowledge at operational, tactical and strategic levels for farmers, advisors, and students (specific syllabus, materials for existing MOOCs) and for the value chain mobilizing key actors within the collaborating MS. At least 100 practice abstracts and 104 video clips describing innovative practices will be provided. The project strongly contributes to the implementation of the EIP and many consortium members are involved in their national contact points. This supports the establishment and cross linkage of Operational Groups on grasslands.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: SFS-01b-2014 | Award Amount: 10.52M | Year: 2015
SAPHIR aims to develop vaccine strategies effective against endemic pathogens responsible for high economic losses in livestock in order to strengthen the profitability of food animal systems, improve animal welfare and reduce xenobiotic usage in farming with a One Health perspective. SAPHIR will bring novel vaccine strategies to the market i) at short term, with several promising vaccines brought to demonstration (RTL6), ii) at long term, with cutting edge strategies brought at proof of concept (RTL3) and iii) in line with socio-economic requirements. SAPHIR has selected two representative pathogens of pigs (Porcine Reproductive and Respiratory Syndrome Virus and Mycoplasma hyopneumoniae), chickens (Eimeria and Clostridium perfringens) and cattle (Bovine Respiratory Syncytial Virus, Mycoplasma bovis) to develop generic vaccine approaches applicable to other pathogens. SAPHIR will issue i) knowledge of immune mechanisms of protection, ii) affordable, safe and multivalent vaccines with DIVA properties, iii) efficient adjuvants targeting dendritic cells, optimal formulations, new mucosal and skin delivery systems, a new generation of DNA vectors and viral replicon platforms for fostering an earlier and longer duration of immunity including the perinatal period, and iv) basal biomarkers of individual immuno-competence for future breeding strategies. The SAPHIR dissemination and training programme includes creation of an integrated health management website, launch of a Global Alliance for Veterinary Vaccines and organization of workshops directed at food animal system stakeholders. This will ensure optimal research translation of SAPHIR outputs to market and field applications. SAPHIR brings together interdisciplinary expertise from fourteen academic institutes including a Chinese partner, five SMEs and two pharmaceutical companies.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: NMP-28-2014 | Award Amount: 11.30M | Year: 2015
Concept: NanoFASE will deliver an integrated Exposure Assessment Framework, including methods, parameter values, model and guidance that will allow Industry to assess the full diversity of industrial nano-enabled products to a standard acceptable in regulatory registrations. Methods to assess how use phases, waste streams and environmental compartments (air, soil, water biota) act as reactors in modifying and transporting ENMs will be developed and used to derive parameter values. Our nanospecific models will be integrated with the existing multi-media fate model SimpleBox4Nano for use in EUSES and also develop into a flexible multi-media model for risk assessment at different scales and complexities. Information on release form, transformation and transport processes for product relevant ENMs will allow grouping into Functional Fate Groups according to their most probable fate pathways as a contribution to safe-by-design based on fate. Methodology: Inventories of material release forms along the product value chain are established. We then study how released ENMs transform from initial reactive states to modified forms with lower energy states in which nanospecific properties may be lost. Transport studies assess material fluxes within/between compartments. The experimental work underpins models describing ENM transformation and transport. Open access is provided to the models suitable for incorporation into existing exposure assessment tools (e.g. SimpleBox4Nano) and for more detailed assessment. Framework completeness is validated by case studies. Impact: Identified links between ENM material properties and fate outcome (e.g. safe-by-design). Improved representation of nanospecific processes in existing key fate and exposure assessment tools (e.g. SimpleBox4Nano in EUSES). Contribution to standardization. GIS framework to support predictive assessment, catchment and point source management of ENM releases.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: NMBP-26-2016 | Award Amount: 10.76M | Year: 2016
An increasing number of nanomaterials (NMs) are entering the market in every day products spanning from health care and leisure to electronics, cosmetics and foodstuff. Nanotechnology is a truly enabling technology, with unlimited potential for innovation. However, the novelty in properties and forms of NMs makes the development of a well-founded and robust legislative framework to ensure safe development of nano-enabled products particularly challenging. At the heart of the challenge lies the difficulty in the reliable and reproducible characterisation of NMs given their extreme diversity and dynamic nature, particularly in complex environments, such as within different biological, environmental and technological compartments. Two key steps can resolve this: 1) the development of a holistic framework for reproducible NM characterisation, spanning from initial needs assessment through method selection to data interpretation and storage; and 2) the embedding of this framework in an operational, linked-up ontological regime to allow identification of causal relationships between NMs properties, be they intrinsic, extrinsic or calculated, and biological, (eco)toxicological and health impacts fully embedded in a mechanistic risk assessment framework. ACEnano was conceived in response to the NMBP 26 call with the aim to comprehensively address these two steps. More specifically ACEnano will introduce confidence, adaptability and clarity into NM risk assessment by developing a widely implementable and robust tiered approach to NM physico-chemical characterisation that will simplify and facilitate contextual (hazard or exposure) description and its transcription into a reliable NMs grouping framework. This will be achieved by the creation of a conceptual toolbox that will facilitate decision-making in choice of techniques and SOPs, linked to a characterisation ontology framework for grouping and risk assessment and a supporting data management system.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: SFS-02b-2015 | Award Amount: 7.63M | Year: 2016
European crop production is to remain competitive while reducing environmental impacts, requiring development and uptake of effective soil improving cropping systems. The overall aim of SOILCARE is to identify and evaluate promising soil-improving cropping systems and agronomic techniques increasing profitability and sustainability across scales in Europe. A trans-disciplinary approach will be used to evaluate benefits and drawbacks of a new generation of soil improving cropping systems, incorporating all relevant bio-physical, socio-economic and political aspects. Existing information from literature and long term experiments will be analysed to develop a comprehensive methodology for assessing performance of cropping systems at multiple levels. A multi-actor approach will be used to select promising soil-improving cropping systems for scientific evaluation in 16 study sites across Europe covering different pedo-climatic and socio-economic conditions. Implemented cropping systems will be monitored with stakeholder involvement, and will be assessed jointly with scientists. Specific attention will be paid to adoption of soil-improving cropping systems and agronomic techniques within and beyond the study sites. Results from study sites will be up-scaled to the European level to draw general lessons about applicability potentials of soil-improving cropping systems and related profitability and sustainability impacts, including assessing barriers for adoption at that scale. An interactive tool will be developed for end-users to identify and prioritize suitable soil-improving cropping systems anywhere in Europe. Current policies and incentives will be assessed and targeted policy recommendations will be provided. SOILCARE will take an active dissemination approach to achieve impact from local to European level, addressing multiple audiences, to enhance crop production in Europe to remain competitive and sustainable through dedicated soil care.
Agency: European Commission | Branch: H2020 | Program: MSCA-RISE | Phase: MSCA-RISE-2015 | Award Amount: 1.89M | Year: 2016
Forest policy and decision makers are challenged by the need to balance the increasing demand for forest-based services (e.g. recreation, protection, conservation) and wood-based products (e.g. timber, fuelwood) with the foreseen scarcity of supply in different situations as for example disturbances (e.g. wildfires, droughts). Under these circumstances research on the impacts of different disturbances on the supply of services and goods is needed. To achieve these multipurpose forest managements and to integrate risk and uncertainty, New tools and models are needed. Furthermore, these tools and models may help to develop new policies that target the achievement of certain level of services while sustaining a certain level of goods supply. This project will take advantage of the knowledge on these topics in European and American organizations. It will further serve to exchange and generate knowledge on multipurpose forests, addressing risk and uncertainty as well as to strengthen research collaboration through active networking, staff exchange and dissemination activities between the participants.
Agency: European Commission | Branch: H2020 | Program: BBI-RIA | Phase: BBI.VC2.R5-2015 | Award Amount: 4.20M | Year: 2016
EFFORTE draws a red line through critical, cost/benefit driving processes, and environmentally concerns of todays forestry. Starting with efficient fulfilment of various customer demands the red line goes along efficient utilization of Big Data sources, present knowledge and critical new knowledge foreseen as outcomes from this project. Technical development and mechanization has been a winning concept for high productivity now emphasizing more gentle methods and just in time deliveries to different industry customers. This is possible to reach if new knowledge, improved methods and technical development are combined with better transfer of information and data from different sources (e.g processes, geo data from LiDAR scanning, other conditions such as weather data etc).These Big Data sources have been available for some years, but it is not until recently that hardware, data communication and merging possibilities enable full potential for a revolution of new applications. In the EFFORTE proposal we have identified three main subjects that have specific importance for efficiency, productivity and environmental concern in forest practice. Two of these implies to increasing crucial knowledge and the third, Big Data applications, combines the new knowledge with high resolution information sources into practice increasing efficiency in forest management and the connected value chains. The main objectives of EFFORTE are: i) To develop scientifically firm and techno-economically feasible methodology to predict trafficability prior to forest operations. ii) To increase forest growth and productivity of tree planting and young stand management iii) To develop, customize and pilot modern Big data solutions that will increase productivity and decrease negative environmental impact (e.g. soil, water and reduced fuel consumption). By EFFORTE we expect to make difference in efficiency, productivity and sustainability for a growing Bio-based economy in Europe.