Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Developer-Centric Knowledge Mining from Large Open-Source Software Repositories (CROSSMINER)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Italy,Germany,Spain,Greece,Hungary,France,Netherlands,United Kingdom,United Kingdom,Portugal,United Kingdom
Call: Software Technologies (H2020-ICT-2016-1, 2016)
Start date: 2017-01-01
End date: 2019-12-31
Duration (months): 36.0
Total project cost (EUR): 4519007.5
EU funding (EUR): 4519007.5
Participants: 15
Project status: CLOSED

Recent reports state that the adoption of open-source software (OSS) helps, resulting in savings of about $60 billion per year to consumers. However, the use of OSS also comes at enormous cost: choosing among OSS projects and maintaining dependence on continuously changing software requires a large investment. Deciding if an OSS project meets the required standards for adoption is hard, and keeping up-to-date with an evolving project is even harder. It involves analysing code, documentation, online discussions, and issue trackers. There is too much information to process manually and it is common that uninformed decisions have to be made with detrimental effects. CROSSMINER remedies this by automatically extracting the required knowledge and injecting it into the IDE of the developers, at the time they need it to make their design decisions. This allows them to reduce their effort in knowledge acquisition and to increase the quality of their code. CROSSMINER uniquely combines advanced software project analyses with online monitoring in the IDE. The developer will be monitored to infer which information is timely, based on readily available knowledge stored earlier by a set of advanced offline deep analyses of related OSS projects. To achieve this timely and ambitious goal, CROSSMINER combines six end-user partners (in the domains of IoT, multi-sector IT services, API co-evolution, software analytics, software quality assurance, and OSS forges), along with R&D partners that have a long track-record in conducting cutting-edge research on large-scale software analytics, natural language processing, reverse engineering of software components, model-driven engineering, and delivering results in the form of widely-used, sustainable and industrial-strength OSS. The development of the CROSSMINER platform is guided by an advisory board of world-class experts and the dissemination of the project will be led by The Open Group.

Keywords: open source mining,oss based software development,knowledge extraction,mining natural language sources,software analytics
Heat Recovery System for Professional Laundry Equipment (ReHeat)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Italy
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-1-2015, 2015)
Start date: 2015-06-01
End date: 2015-09-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

TEKFRIGO was founded in 1997 by Alessandro Aldini taking over the activity of the family owned business ALCA Srl. Nowadays, TEKFRIGO is one of the leading Italian refrigeration, condensing units and cooling equipment providers to important customers such as CARPIGIANI SPA, the world leader manufacturer of ice cream machines. Since 2007 we have been working to develop a novel green heat recovery system for professional laundry systems (ReHeat) by applying the heat pump water condensed dryer principle. Professional laundry equipment is energy intensive: 66 billion kWh/year or 78% of all laundry electricity consumption. Many inefficient products continue to be placed on the market, despite lower life cycle cost for products with higher efficiencies. If no specific measures are taken, the annual energy consumption of laundry equipment is predicted to increase 17% by 2030. As a result the EU is preparing new regulation (EU Ecodesign Directive 2009/125/E) to reduce the environmental impact of non-household laundry equipment. From TEKFRIGO, we are pre-empting the legislation with the development of ReHeat. Our first prototype recovers heat from the exhaust air reducing the energy consumption of a dryer by 25%-63% and generates hot clean water at 50°C that can be re-used by the washing machines leading to a reduction of electricity to heat water by 50%. After the technical upgrade and scale of our technology, ReHeat will reduce operating expense costs of the end users by 75% whilst reducing the environmental impact. On the other side, the world market volume of professional tumble dryers is around 85,000 units/year and the European one around 39,200 units/year with an expected market value of 220M€ in 2014 growing at an average rate of 5% .Through the commercialization of ReHeat we estimate that our product will reach a market penetration of 12% achieving a cumulative revenue of 32.7 M€ with a net profit of 12.6 M€ after 5 years of market uptake.

Keywords: energy efficiency,heat recovery,laundry,dryer,washing machine,refrigeration unit
The interoceptive link between anxiety and breathing perception (ILBAB)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-06-01
End date: 2020-08-31
Duration (months): 24.0
Total project cost (EUR): 175419.6
EU funding (EUR): 175419.6
Participants: 1
Project status: CLOSED

Anxiety is one of the most common mental health issues, and debilitating anxiety symptoms can be present across a spectrum of diseases and disorders. While dysfunctional interoception (monitoring of the internal state of the body) is thought to be both a cause and effect of anxiety, the brain mechanisms leading to perturbed interoception remain unclear. Breathing offers a unique insight into our interoceptive processing, as the continuous swap between subconscious and conscious control provides an active gateway into our interoceptive selves. Therefore, this project aims to understand how anxiety may change the brain’s computations that underlie interoception of breathing, leading to identification of targets for treatments of debilitating anxiety symptoms across a range of physiological and psychiatric conditions. This proposal will employ interoceptive breathing tasks with high-resolution functional brain imaging, applying state-of-the-art computational models of perception to investigate where and how anxiety can interrupt brain processing systems. This project will utilise the inter-disciplinary strengths of the Translational Neuromodeling Unit (TNU) in Zurich, where computational research and applied psychological and clinical studies occur in tandem, and employ innovative and novel high-resolution scanning technologies available at the University of Zurich for unprecedented data quality. I will use my previous experience in high-field functional imaging of breathing perceptions, to develop and collect specific scanning protocols for high-resolution computational perception models. Here, I will target disparate anxiety groups within healthy volunteers, before future work moves towards applications in disease or disorder-specific populations. This work will occur within a wider framework of interoceptive research at the TNU, with the ultimate goal of providing novel diagnostic procedures and targeted treatments for symptoms of anxiety within an individual.

Keywords: breathing,interoception,anxiety
Study of the environmental impact of insecticides by metabolomic foot-printing approach (EnvFate)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: France
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-09-01
End date: 2019-08-31
Duration (months): 24.0
Total project cost (EUR): 185076.0
EU funding (EUR): 185076.0
Participants: 1
Project status: CLOSED

The European Directive in 1998 led to the increasing use of biological insecticides such as cry proteins produced by the bacterium Bacillus thuringiensis israelensis (Bti) that kill mosquito larvae after being ingested. Considering the interest in Bti as more environmentally sustainable biocide, it is important to examine environmental fate and impact of Bti especially taking into account the need of this information to fulfil the REACH criteria. Chandrashekhar (PhD 2014, North Maharashtra University, India) will employed an innovative 'Environmental Metabolic Footprinting' approach, at the University of Perpignan via Domitia, France and participate in a multidisciplinary project that spans the interface between chemistry and biology. To dynamically characterize biomarkers of Bti pollution found among metabolites issued from the sediment matrix meta-metabolome will require him to develop and optimize detection protocols using LC-MS platform. In addition, metabarcoding approach will allow to understand microbial community responses to the Bti pollution. Emphasis will be placed on better standardisation, data interpretation and evaluation that will build confidence in the value of “omics technologies – this being essential to increase their (regulatory) use. Through secondment to University Joseph Fourier, Grenoble he will deepen his knowledge base by evaluating fate of Bti in the sediment through cutting edge biological analysis tools. Taken together, these activities will advance our understanding of environmental risks associated with Bti, and pave the way for the development and adaptation to new environmental monitoring tool. EnvFate will thus increase the European research visibility to promote sustainable development, ensure the protection of environment, one of the priority areas of the H2020 program. Moreover, through the planned training and mentoring activities, Chandrashekhar will develop in to an outstanding early career researcher of great potential.

Keywords: metabolomic,biopesticide,environment,impact,bacillus thuringiensis
AErial RObotic TRAINing for the next generation of European infrastructure and asset maintenance technologies (AERO-TRAIN)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Spain,Italy,Spain,Switzerland,Finland,Sweden,Sweden,Denmark
Call: Innovative Training Networks (H2020-MSCA-ITN-2020, 2020)
Start date: 2021-01-01
End date: 2024-12-31
Duration (months): 48.0
Total project cost (EUR): 4108492.8
EU funding (EUR): 4108492.8
Participants: 10
Project status: SIGNED

AERO-TRAIN fills gaps between the infrastructure O&M industry and Industry4.0 with the ambition to keep our invaluable assets operational and safe. The AERO-TRAIN general objectives are, in fact, to reduce the costs associated to O&M operations, while increasing the safety aspects related to the asset management. To achieve its objectives, AERO-TRAIN researches and develops automation technologies based on aerial manipulators and it identifies that the solution lays in the synergy between three main research pillars: Intelligent Mechatronics, Artificial Intelligence and Human-Machine Interaction. AERO-TRAIN will focus on developing new approaches for improving the robustness of aerial manipulators under conditions that reflect real application, such as the application of relevant forces for tool manipulation and robust perception in featureless and light challenging environments. Moreover, AERO-TRAIN takes a unique human-centered direction and it addresses the scientific issues related to increasing the maneuverability for remote aerial manipulation by development new immersive technologies, augmented and mixed reality for damage assessment by a remote expert, and collaborative human-machine intelligence for supported evaluation of criticalities. Finally, AERO-TRAIN addresses the lack of skills and competences that are needed in the industry to ensure that the outcome of the project create an impact, by developing a training program where both the academic and non-academic sector contribute to train 15 Early Stage Researchers that are hosted by 9 beneficiaries that are experts in the AERO-TRAIN core technologies, and 7 partner organizations that partners from both industry and academia will complement the framework for the training, advancement and test of the technology.

Keywords: robotics,aerial robots,infrastructure inspection,infrastructure maintenance,oandm,automation
Towards an Automated and exPlainable ATM System (TAPAS)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Single European Sky Air Traffic Management Research
Action type: Research and Innovation actions
Partnership: SESAR (Art-187)
Countries involved: Spain,Germany,Greece,United Kingdom
Call: Digitalisation and Automation principles for ATM (H2020-SESAR-2019-2, 2019)
Start date: 2020-06-01
End date: 2022-11-30
Duration (months): 30.0
Total project cost (EUR): 997410.0
EU funding (EUR): 997410.0
Participants: 6
Project status: CLOSED

As Artificial Intelligence (AI) becomes an increasing part of our lives in general, individuals are finding that the need to trust these AI based systems is paramount. Air Traffic Management (ATM) is not an stranger to this: with a system close to, or already at, a saturation level, AI applications are considered a main enabler to reach higher levels of automation. This would mean a fundamental shift in the automation approach when moving from the classical human-machine interaction to a potentially much richer solution enabled by these AI systems, in which trust in the operations needs to be generated. As humans, operators must be able to fully understand how decisions are being made so that they can trust the decisions of AI systems. The lack of explainability and trust hampers the ability (both individual and global) to fully trust AI systems. TAPAS aims at exploring highly automated AI-based scenarios through analysis and experimental activities applying eXplainable Artificial Intelligence (XAI) and Visual Analytics, in order to derive general principles of transparency which pave the way for the application of these AI technologies in ATM environments, enabling higher levels of automation. Specifically, TAPAS will: • Analyse two operational environments: ATC (Air Traffir Control)Conflict Detection & Resolution (tactical), and Air Traffic Flow Management (pre-tactical). For them, levels of automation 1 to 3 according to SESAR Model will be considered. • Develop eXplainable Artificial Intelligence (XAI) prototypes addressing the requirements and acceptability criteria of the scenarios. • Run experiments that assess the applicability of these XAI modules in the higher levels of automation considered, exploring different ways of interaction and information exchange. • Apply Visual Analytics techniques to contribute to explainability of decissions. • Extract conclusions, principles and recommendations related to transparency of AI in ATM.

Keywords: explainable artificial intelligence,visual analytics,transparency
Cell type-specific molecular analysis of epigenetic changes and transposable element derepression in Alzheimer's disease progression (CTS-TEs-ADprogress)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-09-01
End date: 2023-08-24
Duration (months): 24.0
Total project cost (EUR): 174806.4
EU funding (EUR): 174806.4
Participants: 1
Project status: SIGNED

Alzheimer’s disease (AD) is a major contributor to disease burden and healthcare costs worldwide. AD is usually diagnosed once symptoms like memory impairment become evident. However, at this point typical AD pathology such as Aβ plaques and cell death is already widespread, suggesting that molecular changes have occurred decades before symptom onset. With an increasingly aging population and no available treatments, it has become imperative to identify the molecular mechanisms underlying onset and progression of AD. Chronic environmental stress and age-associated changes in stress response have been associated as drivers of AD pathology. The epigenome plays a critical role in translating stress signals into a cellular response by influencing gene expression, which can either promote or inhibit cell survival. Several studies have shown that alterations in chromatin structure, including heterochromatin loss, and associated changes in gene expression contribute to neurodegeneration. In addition, neuronal death was also linked to transposable element (TE) dysregulation due to epigenetic changes, which can lead to changes in gene expression and insertional mutations due to transposition. However, our understanding of epigenetic changes at onset and during progression of AD pathology is very limited, as current studies have two major limitations: 1) lack of cell type resolution due to use of bulk tissue samples and 2) coverage of only few or only one disease stage. Here, single-cell RNA-seq and ATAC-seq as well as CUT&RUN on isolated hippocampal neuron subtypes will be used to identify cell type-specific alterations of gene expression and gene regulatory mechanisms during onset and progression of AD pathology in the APP/PS1 mouse model. APP/PS1 mice are a well-established AD model, which recapitulates many characteristics of preclinical AD in human patients and thereby allows correlating the identified changes with the development of specific pathological hallmarks.

Keywords: single cell,disease onset and progression,gene regulatory changes,transposable elements,multi omics data integration,longitudinal analysis
The role vision plays in shaping the representation of numbers. (NonVisNumCog)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Italy
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2017-01-01
End date: 2018-12-31
Duration (months): 24.0
Total project cost (EUR): 180277.2
EU funding (EUR): 180277.2
Participants: 1
Project status: CLOSED

In the literature on numerical cognition, vision was for a long time assumed to play an important role in the development of number representations. In line with this idea, I recently demonstrated that congenitally blind (CB) present a qualitatively different representation of numbers by comparison to their sighted peers. In this project, I propose to further explore with fMRI techniques whether the CB qualitative different numerical representation is supported by specific cerebral reorganisation of the brain. I also propose to examine whether the qualitative different numerical representations of CB could delay the acquisition of numerical concepts in childhood. I finally propose to explore the extent to which this knowledge of the blind’s numerical representation could be extended to the elaboration of a multisensory mathematics teaching program. I advocate the idea that this research program is crucial because poor mathematical competencies are common among adults and result in employment and day-to-day activities difficulties. Further research into multisensory access to numerical information could therefore lead to education benefits in teaching mathematics to young children but could also promote interventions that target specific mathematical deficits. I am uniquely suited for working on this project due to a number of parallels between the skills the proposed project requires, and the skills I possess. This includes: 1) my successful collaborations with Dr Collignon in the past; 2) good inter-personal skills; 3) my strong background in the research topic; 4) working with a variety of participant populations, and combining different methodologies. If funded, the present project will allow me to continue to explore a large overarching question by applying my pre-existing knowledge to a broader range of experimental techniques and topics - a vital skill to become an independent researcher in Europe.

Keywords: numerical cognition,blindness,fmri,multisensory teaching,development
CHECKPOINTS IN CHECK: Novel Chemical Toolbox for Local Cancer Immunotherapy (CHEMCHECK)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Prevention, Diagnosis and Treatment of Human Diseases
Panel description: Medical technologies and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions, pharmacology, preventative medicine, epidemiology and public health, digital medicine
Countries involved: Netherlands
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-07-01
End date: 2021-12-31
Duration (months): 66.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 2
Project status: CLOSED

Cancer evades the immune system by generating an immunosuppressive tumour-microenvironment through various mechanisms to enable unhampered growth. Recent breakthroughs in blocking one of these mechanisms – the so called ‘immune checkpoints’ – put cancer immunotherapy back in the spotlights. Although promising, clinical benefits of these checkpoint inhibitors as single treatment has been limited to a subset of patients and goes along with unwanted systemic autoimmune toxicity. I hypostasize, that attacking the tumour microenvironment from multiple immunological angles simultaneously by local, conditional, and multimodal immunomodulation will greatly improve success of cancer immunotherapy and patient wellbeing. To achieve this, I will develop a highly defined synergistic chemistry-based molecular therapeutic toolbox to specifically attack cancer, acting on effector T cells, macrophages as well as tumour cells simultaneously. In this highly multidisciplinary endeavour I will (i) generate novel multifunctional dendritic cell targeted anti-cancer vaccines to ‘educate’ the patient’s immune system to recognise the tumour, (ii) I will develop conditional, targeted immune checkpoint inhibitors to release the immunosuppressive break specifically within the tumour microenvironment without the risk of autoimmunity and (iii) I will generate chemical tools to locally eliminate the tumour-associated macrophages to tear down a major immunosuppressive barrier. I will do so utilizing the novel ModimAb technology which I developed to obtain functionalized antibody fragments. These individual therapeutic tools will allow me and my research team to explore uncharted tumour immunological territories in vitro as well as in vivo, greatly advancing the field of cancer immunotherapy. But above all, together they will form a highly dedicated symbiotic immunotherapeutic regime which will be extremely effective without systemic side effects, dramatically improving patient care.

Keywords: cancer immunotherapy,chemical biology,tumour microenvironment,immune checkpoint,antibody engineering