Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
ADVanced Organ Support – Revolution in intensive care for treatment of multiple organ failure (ADVOS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Germany
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2019)
Start date: 2019-12-01
End date: 2022-04-30
Duration (months): 29.0
Total project cost (EUR): 3275055.0
EU funding (EUR): 2292538.5
Participants: 1
Project status: CLOSED

60% of intensive care patients die of multiple organ failure (MOF), resulting in a market potential in Western EU of €1.19bn in 13 targeted countries and in the US of €2.05bn. The detoxification organs are nearly always involved in MOF. Therefore, to treat MOF successfully, the vicious cycle of progressing organ failures and increasing toxin accumulation in the body has to be stopped. ADVOS has the potential to revolutionize the therapy of ICU patients worldwide, as it is the first and only ICU device for combined liver, lung, kidney and acid-base support in one device. ADVOS improves survival of patients with MOF from 10 to 50%. No serious side-effects have occurred so far in more than 500 treated patients. Currently, there is no other device in the market that supports all main detoxification organs as the ADVOS system does. As the ADVOS therapy is low-invasive, it can be used by far more intensive care units and can support by far more patients than other devices for e.g. removal of CO2. Although the ADVOS device has the CE mark and is already in the German market (20 first beta user hospitals) the TRL is 6, as we learned in the German market that due to the staff problem and the stressful environment in the ICU the ADVOS usability is by far not good enough to increase revenues more quickly. Therefore, the goal of the SME project ADVOS is faster market entry and penetration through improvement of device usability and ease of use (Integration of accessory components, state of the art turnable touch screen and smart user assistance), integration of IoT for remote access/maintenance in device, and increased marketing and communication measures (Total project cost: 3.3m€ / SME grant amount: 2.3m€).

Keywords: multiple organ failure,critical care,hemodialysis technology,extracorporeal treatment,survival,critical illness,hardware and software usability,health economics
Increasing reforestation success with a novel fungi-based bio-compound material (Spawnfoam)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Portugal
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-07-01
End date: 2018-10-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Reforestation projects have a failure rate of 25%, which generate internal project losses of around 450M€/year and reduces the financial sustainability of forestation at global level. At the same time, agricultural and forestry production as well as various agro-industries annually produce tons of waste that can be used in the production of 100% biodegradable biocomposites, allowing a useful destination for these wastes and contributing to the circular economy. With a central focus on the circular economy, we have created our company SPAWNFOAM specifically to commercialize our novel biocomposite material constituted by forest residues that function as a matrix that can be colonized by a fungal mycelium that will assume the role of bonding agent. Our first application of the Spawnfoam material is a plant pot specifically engineered for the reforestation market, that increases the survival rate of plants, and also their growth, due to proprietary functionalization of our pot with specific minerals and structures that provide water and nutrients directly to plants, while protecting root systems and are biodegradable. As a startup created in January 2017 specifically for the development and commercialization of SPAWNFOAM, this project is the core of our company’s strategy. We have secured a total of over 75.000€, of which 50.000€ from the Portuguese Environmental Fund to study the proof-of-concept of Spawnfoam and are now closing a 100.000€ grant to implement the pre-industrial proof of concept, our next milestone before large-scale implementation and global market replication, which we wish to study with the SME Instrument Phase 1 Feasibility Study.

Keywords: circular economy,biodegradable,biocomposite,renewable,eco friendly,microbiology,materials engineering,fungi,reforestation,plant pots
Solutions for CRitical Raw materials - a European Expert Network 2 (SCRREEN2)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Ensuring the sustainable supply of non-energy and non-agricultural raw materials
Action type: Coordination and support actions
Countries involved: Spain,Germany,Spain,Austria,Germany,Germany,Spain,Italy,Austria,Spain,Italy,Belgium,Greece,Belgium,Switzerland,Belgium,Finland,Slovenia,Sweden,France,France,Netherlands,Netherlands,Portugal,United Kingdom
Call: Raw materials policy support actions for the circular economy - Expert network on Critical Raw Materials (H2020-LCCI-2020-EASME-singlestage, 2020)
Start date: 2020-11-01
End date: 2023-12-31
Duration (months): 38.0
Total project cost (EUR): 2999875.0
EU funding (EUR): 2999875.0
Participants: 31
Project status: SIGNED

In order to secure the sustainable access to primary and secondary raw materials and particularly Critical Raw Materials (CRMs) in the EU, there is a need for an expert advice to better understand the value chains of the raw materials screened in the CRMs assessment. Making this information freely available, through the SCRREEN knowledge database and the EC Raw Materials Information System, will support decision-making at the EU level on the CRM strategies. In the continuation of SCRREEN, SCRREEN2 will develop and strengthen the SCRREEN expert network in order to cover all raw materials screened in the CRM 2020 assessment. The work was initiated in 2019 to support the EC (validation workshop and creation of an expert database). The SCRREEN network gathers today expertise on primary and secondary resources; production, including exploration, mining, processing, recycling and refining; substitution of CRM; raw materials markets; future demand and supply; materials flows; socio-economic analysis. It covers also strategic value chains and end-use sectors, including batteries, e-mobility, renewable energy, electronics, defence and aerospace. Thanks to clustering and cooperation with other projects/initiatives, SCRREEN2 will develop this network to fill the existing gaps and to mobilize it on two axes through dedicated workshops. First, in order to improve data and knowledge on all screened raw materials, SCRREEN2 will update on a regular basis the raw materials factsheets. It will also publish sector-oriented outlook reports analysing the future supply and demand of raw materials, policy and technology gaps and innovation potential along the raw materials value chains. A work-plan, updated every 6 months, will allow SCRREEN2 to flexibly support the Commission in policy-making related to CRM in general or linked to specific applications or sectors; and to support as well the Commission in the organisation of relevant events.

Keywords: raw materials
Disruptive Technologies Supporting Labour Market Decision Making (HECAT)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Theme: Innovative societies
Action type: Research and Innovation actions
Countries involved: Spain,Ireland,Switzerland,Slovenia,France,Denmark,Denmark
Call: Transformative impact of disruptive technologies in public services (H2020-SC6-TRANSFORMATIONS-2019, 2019)
Start date: 2020-02-01
End date: 2023-07-31
Duration (months): 42.0
Total project cost (EUR): 3493956.25
EU funding (EUR): 3493956.25
Participants: 10
Project status: SIGNED

Hecat aims to investigate, demonstrate and pilot a disruptive technology to support labour market decision making by unemployed citizens and those seeking to help them. At one stage or another, almost half of all EU citizens will rely on a Public Employment Services (PES), and so this is a key touchpoint of a contemporary state and has impacts on citizen’s thinking about social cohesion, care and existential wellbeing. The ambition of the project is to improve citizen’s experience and outcomes of unemployment by offering real-time evidence-based insight into their personal position in the labour market. Hecat builds on the experience and learning of existing basic algorithmic techniques used by some European PES administrations to: - deliver labour market insight directly to unemployed citizen and so is built on European values of open data, collaboration, transparency and citizen-participation - broaden out the focus on quantity of jobs drawn from the ‘economic imagination’ to add a focus on job quality and sustainable employment - go beyond profiling the ‘stock’ unemployed people, to incorporate measures of labour demand, and so take a labour market approach - go beyond the profiling of ‘problem categories’ of citizens that current survey-data based systems use, to exploit emerging big-data processing and analytics to treat each individual as a unique complex subject in a real-time and near limitless database that leverages the insight trapped inside statistical agencies - frame the development in deep contextual insight into the origin and transformation of the experience of unemployment and its administration based on anthropological inquiry - bring this insight into the hands of decision makers with a a platform-UX that exploits novel artificial intelligence with learning capabilities and cutting edge, accessible visualisation and gamification techniques to support knowledge discovery and decision making at the critical moment, as a decision support system

Keywords: disruptive technology,public employment services,labour markets,social welfare,decision making
Bio-inspired Coacervate Extruded Materials (CoaExMatter)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Synthetic Chemistry and Materials
Panel description: New materials and new synthetic approaches, structure-properties relations, solid state chemistry, molecular architecture, organic chemistry
Countries involved: Netherlands
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-09-01
End date: 2025-08-31
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

The threads produced by velvet worms are remarkably sticky and stiff; the beak of a jumbo squid is extremely hard; and spider silk is incredibly tough. The extraordinary material properties found in these natural systems have been of interest to researchers for a long time. However, only recently, biologists discovered that a crucial element in the processing of many of these materials are coacervates, which are concentrated macromolecular phases that form upon liquid liquid phase separation from the initial solution. An understanding is emerging that the liquid coacervate phases enable extrusion of the material and allow for conformational changes within the material before solidification. Thus, the coacervate nature is crucial for obtaining extraordinary property profiles in these natural materials. Here I propose to mimic this environmentally benign processing of coacervate extrusion for the development of completely new synthetic materials. Previous work in my group has led to the development of bio-inspired synthetic coacervates with well-controlled architecture and composition, and of various tools to study their mechanics. Here, I will take advantage of this expertise to develop unique material systems by extruding synthetic coacervates and by using the induced mechanical stress to obtain alignment and conformational changes. Analogous to the wide variety of materials found in natural systems that commence as a coacervate, this processing principle may be applicable to a wide variety of synthetic material classes. In this research program coacervate extrusion will be used to produce fibers, rods or scaffolds composed of: polyelectrolyte complexes, liquid-crystal elastomers, peptide-polymers, protein-polymers and nanocomposites. This bio-inspired processing principle of coacervate extrusion will lead to materials with unexplored property profiles and holds great promise for the development of novel high performance materials obtained by green processing.

Keywords: bio inspiration,coacervation,fibers,polyelectrolytes,structure property relationships,spinning
Social innovation and urban revitalization in hyperdiverse local societies (NEIGHBOURCHANGE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Italy,Canada
Call: Marie Skłodowska-Curie Individual Fellowships (IF-GF) (H2020-MSCA-IF-2015, 2015)
Start date: 2017-11-01
End date: 2020-10-31
Duration (months): 30.0
Total project cost (EUR): 193355.4
EU funding (EUR): 193355.4
Participants: 2
Project status: CLOSED

Traditional state-driven top-down revitalisation strategies have resulted in new urban dynamics and tensions, gentrification processes and social exclusion. In the meantime, ethnic concentration in neighbourhoods overlaps with situations of social exclusion and deprivation. The aim of the project is to investigate whether and how area-based programs inspired by an innovative social approach targeting deprived and hyperdiverse neighbourhoods can intervene on increasing socio-spatial inequalities, at the same time promoting institutional learning. Institutional learning is in fact considered as a pre-condition to assure the publicness and sustainability of bottom-up initiatives. The project stands on the assumption that promoting social cohesion in hyperdiverse cities urgently demands a new approach to territorial development. The GF will provide me with new competencies to be transferred in Italy and Europe where the development of coherent contextual strategies for urban revitalization is of utmost importance. The GF envisages: i) an outgoing period to Canada, University of Toronto, where I will be involved in a major research partnership over six Canadian metropolitan areas (NCPR) ii) a return period in Italy at IUAV, based at the SSIIM UNESCO Chair to transfer the skills acquired, develop an additional training to establish a sustainable career iii) a secondment being based at TU Delft, Netherlands, being involved in the ERC Project DEPRIVEDHOODS to develop specific hands-on training activities and strengthen the collaboration among hosting institutions. If funded IUAV will provide me with a full-time research contract to invest in my career development. My profile deeply based on migration studies, policy design and analysis, urban planning and human rights will be reinforced with new inter disciplinary expertise and strengthen skills on community development, urban regeneration, social innovation, segregation studies and neighbourhood research.

Keywords: diversity,immigration,neighbourhood,urban revitalization,social innovation,territorial,development,urban polarisation,hyperdiversity
Curiosity and the Development of the Hidden Foundations of Cognition (FOUNDCOG)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Ireland
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2019-01-01
End date: 2025-06-30
Duration (months): 78.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

How do human infants develop complex cognition? We propose that artificial intelligence (AI) provides crucial insight into human curiosity-driven learning and the development of infant cognition. Deep learning—a technology that has revolutionised AI—involves the acquisition of informative internal representations through pre-training, as a critical precursory step to learning any specific task. We propose that, similarly, curiosity guides human infants to develop ‘hidden’ mature mental representations through pre-training well before the manifestation of behaviour. To test this proposal, for the first time we will use neuroimaging to measure the hidden changes in representations during infancy and compare these to predictions from deep learning in machines. Research Question 1 will ask how infants guide pre-training through directed curiosity, by testing quantitative models of curiosity adapted from developmental robotics. We will also test the hypothesis from pilot data that the fronto-parietal brain network guides curiosity from the start. Research Question 2 will further test the parallel with deep learning by characterising the developing infant’s mental representations within the visual system using the powerful neuroimaging technique of representational similarity analysis. Research Question 3 will investigate how individual differences in curiosity affect later cognitive performance, and test the prediction from deep learning that the effects of early experience during pre-training grow rather than shrink with subsequent experience. Finally, Research Question 4 will test the novel prediction from deep learning that, following perinatal brain injury, pre-training creates resilience provided that curiosity is intact. The investigations will answer the overarching question of how pre-training learning lays the foundations for cognition and pioneer the new field of Computational Developmental Cognitive Neuroscience.

Keywords: infant,neuroimaging,deep learning,computational developmental cognitive neuroscience,vision
Exploring complexity in the archaeological landscapes of monsoon Asia using lidar and deep learning (archaeoscape.ai)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The study of the human past
Panel description: Archaeology, history and memory
Countries involved: France
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-10-01
End date: 2025-09-30
Duration (months): 60.0
Total project cost (EUR): 2748285.0
EU funding (EUR): 2748285.0
Participants: 1
Project status: SIGNED

Compelling evidence is now emerging that tropical environments were cradles of innovation and complexity from prehistory to the present. Tropical forests in particular have long been considered marginal and inhospitable, but recent work suggests that several critical milestones were achieved in these landscapes. Vast expanses were terraformed by increasingly complex societies, often in a quest to mitigate the sharp seasonality of the monsoon. Ostensibly wild and pristine rainforests are now characterised as managed 'gardens'. The giant low-density settlement complexes of 'rainforest civilisations' anticipate the sprawling megacities of our contemporary world, and offer a laboratory for understanding the profound challenges that they create. To date, these emerging perspectives have largely been driven by advances in palaeobotany, archaeogenetics, isotopic analyses, and contemporary rainforest ecology. Remote sensing has so far played only a modest role in this broader agenda, in spite of the unique capability of lidar technology to 'strip away' vegetation and reveal archives of human activity inscribed in the Earth's surface. This program will tackle the core problems that currently constrain the 'lidar revolution' in archaeology: We will use a new generation of lidar technologies to greatly expand coverage in Southeast Asia, home to many of the most important and understudied rainforest landscapes. We will develop open access frameworks and infrastructures for aggregating, sharing and collaborating on new and existing lidar datasets. We will build on recent advances in artificial intelligence to develop generic models for automation and analysis, in order to move beyond localised, culturally-specific lidar applications. The net result of this work will be to create consistent, comparable datasets of human impacts on the Earth's surface, with a view to understanding trajectories of innovation and complexity in the tropical world from the deep past to the present.

Keywords: southeast asia,remote sensing,lidar,deep learning,neural networks,geomorphometry,historical and tropical ecology,complexity,resilience,sustainability,water management,agriculture,urbanism
A Digital Copy Of The Earth (Nomoko)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Switzerland
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2019)
Start date: 2019-08-01
End date: 2021-01-31
Duration (months): 18.0
Total project cost (EUR): 3399606.25
EU funding (EUR): 2379724.38
Participants: 1
Project status: CLOSED

Nomoko is a Swiss start-up whose solutions to automatically create “Artificial Reality” have received numerous public recognitions. It brings innovation to the digital mapping market, which, although expected to reach € 7.17 billion by 2025, is looking for alternatives to the current accuracy and reliability constraint of digital maps at a cost-effective price. Based on a digital ultra-accurate 3D model of the Earth, Nomoko offers a platform with the best virtualization of the reality, dynamic interaction with the data and fully customizable scenarios for simulation that enables building digital solutions and products rooted in “reality”. The 3D model is created from an in-house developed ultra-accurate digital camera, the 3D software is a proprietary 3D modelling pipeline capable of processing petabytes of data and enhancing the models with intelligence, and the platform is a cloud-based engine turning the world from a static model to a dynamic one. Nomoko’s business model follows a Platform as a Service (PaaS) strategy complemented by a shared revenues approach, differentiating itself from its competitors, whose solutions and business models are several steps behind (only PaaS, 3D model accuracy in the 1mm to 1cm range). Technological and market assessment highlight that volumetric city-based 3D data and digital 3D models are a trend to follow. The photorealistic, ultra-accurate nature of Nomoko’s 3D environments provide the key building blocks for a variety of cross-industry products, especially for the Autonomous car, Gaming, Construction & Architecture and Smart Cities & Urban planning industries, contributing also to the creation of a new market for products built on real-world based 3D data. Financial projections show promising net sales reaching 118 MM €, continuous increasing gross income over 95MM € by 2025.

Keywords: 3d model,artifical reality,platform as a service