Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
The world's first edge computing solution for SMEs enabling energy efficiency, Industry 4.0 and new business models for the energy sector (ENIT Agent 2.0)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Germany
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2018-05-01
End date: 2020-04-30
Duration (months): 24.0
Total project cost (EUR): 2002250.0
EU funding (EUR): 1401575.0
Participants: 1
Project status: CLOSED

ENIT Energy IT Systems is a leader in smart grid technology, founded in 2014 as a Fraunhofer spin-off. The pilot product, ENIT Agent 1.0, is an innovative energy management system based on edge computing, combining the advantages of cloud and decentral optimization for the target market of industrial, energy-intensive SMEs. Since 2016, over 100 pilot customers confirmed its feasibility and valuated three USPs: fast and simple installation (<10 minutes), flexibility by integrating existing infrastructure and higher data accuracy for improved efficiency analytics. A local food manufacturer reduced its yearly energy consumption by 230tkWh, saving €40t. While the ENIT Agent 1.0 focuses on monitoring energy efficiency, the project‘s objective is the full exploitation of edge technology‘s potential, offering solutions for three crucial European challenges: 1) increasing energy efficiency by data driven analysis; 2) offering interoperable industry 4.0 interfaces to integrate energy data, industrial process data and business intelligence; 3) enabling new business models in the energy sector by integrating SMEs for direct participation. These objectives are achieved by adding an open API for third party applications and building a central/decentral IT infrastructure for upscaling the European rollout. For commercialisation, additional partners (industrial manufacturers, utilities, etc.) are acquired, supporting sales and using the API. Together with existing partners, ENIT develops new analytic applications reducing investment risks for PV, batteries etc. by data driven ROI calculation. The funding significantly increases the strategic value for ENIT and its partners, the SMEs as customers and the European Union. ENIT was initiated by bootstrapping and award-funding, further funded by the EUs Climate KIC initiative and the German EXIST program. Today, ENIT completed seed phase and VC financing rounds (in total > € 2.5 Mio.) and currently employs 20 team-members.

Keywords: energy management system,data analysis,edge computing,smes,energy consumption,resource efficiency,industry 4 0,business model
Thin flexible hermetic packaging of ultra-thin silicon chips for high-density neuro electronic implantable devices. (THINPAC)

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: Information Science and Engineering
Countries involved: Belgium
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-04-01
End date: 2024-03-31
Duration (months): 24.0
Total project cost (EUR): 178320.0
EU funding (EUR): 178320.0
Participants: 1
Project status: CLOSED

Microelectronic medical implants with superior performance are needed to improve quality of life for patients. For neuroelectronic applications, this will be enabled through miniaturisation of large numbers of high-density electrodes in bio-mimetic packages. The leading solution is to use ultra-thin silicon chips (UTCs) embedded in flexible polymers with small flexible ribbon cables. However, this technology creates a unique challenge of maintaining sufficient hermeticity, biocompatibility and biostability for decades-long implantation without the use of bulky, rigid glass/Ti boxes. The primary aim of THINPAC (Thin Hermetic Implantables using Novel Packaging of Active Chips) is to realize a robust technology platform for ultra-thin flexible hermetic packaging of UTCs using alternating layers of ceramic nanofilms and polyimide. Innovation beyond existing fabrication technology is needed (i.e. bonding for higher yield, thin-film noble metal patterns over chip edge topography, and hermetic connector strategies). THINPAC will aim to develop these technologies by solving remaining fabrication issues and in-depth in vitro evaluation of the developed technology to ensure long term hermeticity, biostability, and flexibility. New testing strategies will be developed towards highly reliable test protocols for real-time and accelerated testing to mimic long term evaluation of implants. Implant development is a highly multidisciplinary activity and in vivo testing in animals is indispensable. Discussion with medical people and initial tests with dummy devices are essential from the start of the project to avoid less suitable medical devices. Finally, functional probes for implantation into peripheral nerves will be fabricated and fully characterized in rats for foreign body reaction and electrophysiology. With this project, we aim to mature a technology platform for advanced implant fabrication and for the first time make it viable for clinical translation into humans.

Keywords: flexible electronics,hermetic thin film encapsulation,chip in foil packaging,accelerated aging,direct bonding,foreign body reaction,in vivo electrophysiology
AGRICAM – reducing the usage of antibiotics and increasing animal welfare through advanced thermal imaging system for detecting early cases of mastitis in dairy cows (AGRICAM)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Sweden
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-08-01
End date: 2020-01-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Mastitis, a potentially fatal mammary gland infection, is the most common disease in dairy cows, usually resulting from bacteria introduced either during the milking process or from environmental contact. It affects at least one in three dairy cows throughout Europe and has a big economic impact on farms, causing very large losses in milk production and degradation in milk quality. Current treatments use conventional antibiotics however, this method is ineffective and leads to developing bacteria that are resistant to antibiotics. Agricam AB, a Swedish Ag-Tech company, has developed a revolutionary technology - a sensor-solution comprising of a thermal imaging camera and smart data analysis software, detecting the symptoms of mastitis in a very early stage. Our patented heat camera systems (TRL-8) perform over 10 000 analyses daily for large scale and heavy-duty dairy farms in Sweden, monitoring and preventing mastitis amongst the herd 24-7. With a drastically earlier detection time, 2-4 times faster than any current methods, no antibiotics are needed for tackling the disease. We strive to lead an agricultural revolution that will help farmers to manage their herds in a unique way- through early detection of harmful diseases thereby increasing on-farm efficiency and production, animal welfare, reducing the usage of antibiotic drugs and on-farm costs. Agricam is now ready to take the product on an international arena starting in Europe where funds are required, in order to save millions of dairy cows from mastitis and reduce usage of antibiotics. This project will thus develop a business plan for the international expansion of Agricam’s technology to bring it to the European markets.

Keywords: mastitis in dairy cows,heat camera,sensor technology,machine learning,statistical data processing,intelligent systems
Correlative Super Resolution Imaging of the Collagen Mineralization Process (SUPERMIN)

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: Netherlands,Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-03-01
End date: 2020-02-29
Duration (months): 24.0
Total project cost (EUR): 165598.8
EU funding (EUR): 165598.8
Participants: 2
Project status: CLOSED

Bone tissue is an organic-inorganic composite material that provides the mechanical support and protection for our bodies. Its impressive mechanical properties arise from the hierarchical organization of the organic collagen matrix that is mineralized with ultrathin, aligned inorganic crystals of carbonated hydroxyapatite. Despite its importance to the human body, still relatively little is understood about the mechanisms by which collagen mineralization occurs, and what the respective roles are of the collagen and other, non-collagenous proteins (NCPs) in directing this process. This is because the process is complex: there are different stages that occur over multiple length scales, and many different components are involved. So far, studying collagen mineralization has mainly relied on analyses that require sample-altering preparation methods and lack information about the dynamics; or on simplified in vitro systems that do not necessarily represent what happens in the native bone environment. To really understand the role of NCPs in collagen mineralization, we need to study their dynamics and structural interactions with the highest possible resolution and in an environment as close as possible to native bone. I will use a recently developed tissue engineering platform that produces mineralized collagen with the main characteristics of that in bone. This will now allow me to apply gene editing for studying the role of NCPs in situ and in a living system with correlative imaging using super resolution microscopy and cryogenic transmission electron microscopy. My approach will provide unprecedented details on the role of selected NCPs in collagen mineralization. It will significantly impact how bone defects and mineralization are studied, and open the door to new treatments for related diseases such as osteogenesis imperfecta and Ehlers-Danlos syndrome.

Keywords: biomineralization,cryo electron microscopy,collagen mineralization,apatite,correlative,bone,non collagenous proteins,cryo super resolution,csclem
UniTuition – Using internet technologies to upgrade and optimize inefficient university tutoring markets. (UTFebSMEApp)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Ireland
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-07-01
End date: 2016-12-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The aim of the UniTuition project is to bring outdated university academic support markets online. The core innovation involves using real time Internet connectivity and communication to match students with suitable tutors in their own university community. Unfortunately, cash strapped students currently pay very high rates for professionals in their field to tutor them. These private tutors are often not familiar with students’ class specific subject matter, and students are regularly left dissatisfied. Furthermore they are very difficult to find, and many university students cannot find the help they need at all. The problems outlined above affect millions of students worldwide, and are contributing to under-performance and failure rates in universities around the world. By applying new technologies to the university tutoring market the UniTuition project can facilitate knowledge transfer within the university student community, enabling senior students and recent graduates to help junior students improve their grades at affordable rates. The project will also empower those with specialist knowledge to create learning content and provide it to students online. Currently, no service in Europe effectively meets the needs of university students who need academic support, and there is no large player in this space globally. The feasibility study proposed aims to validate UniTuition as a solution to this problem beyond its test market in Ireland in the wider European market. The objectives of the study are to establish the technical feasibility of additional service features for UniTuition, identify key target markets in Europe and develop a detailed internationalization plan. The company will require external funding to achieve rapid growth using the strategies outlined in this proposal. Financial projections included are based on receiving a minimum funding round of €650,000 in the 2016/17 academic year.

Keywords: e learning,online,marketplace
Studying the role of the retrosplenial cortex in flexible learning (REFLEX)

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: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-09-01
End date: 2018-08-31
Duration (months): 24.0
Total project cost (EUR): 175419.6
EU funding (EUR): 175419.6
Participants: 1
Project status: CLOSED

An emerging view of cortical area function posits that instead of primarily accounting for sensory processing and motor control, cortical areas might mediate flexible handling of sensory information and motor planning through learning and memory. In this project I propose to investigate this notion focusing on the function of retrosplenial cortex (RSC), a large, poorly understood and highly interconnected cortical area that interfaces with the hippocampal system. RSC has a key role in memory, and is thought to control flexible use of contextual information; it accounts for earliest memory deficits in Alzheimer’s disease. In primates, the RSC is positioned immediately behind the splenium and is centrally located between cortical sensory and limbic memory regions. It exhibits reciprocal connections with the hippocampal for-mation, anterior thalamic nucleus, and a network of dorso-medial cortical areas. RSC has a critical role in spatial and relational memory, and its interactions with the hippocampal system are essential for normal memory processing. The focus of this project is the hypothesis that the connectivity patterns of RSC account for what has been called its “translational” properties. I will first study the role of RSC in a generic form of flexible learning, then I will focus on spatial learning and analyse the capability of RSC to integrate information across multiple cue types and use these inputs to deal with the environment e.g. in allocentric-egocentric and egocen-tric-allocentric transformations.

Keywords: retrosplenial cortex,learning,flexibility,neuronal tagging
KATANA - Emerging industries as key enablers for the adoption of advanced technologies in the agrifood sector (KATANA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Innovation actions
Countries involved: Spain,Italy,Germany,Serbia,Greece,Greece,Greece,Greece,Netherlands,Denmark,United Kingdom
Call: Cluster faciltated projects for new value chains (H2020-INNOSUP-2015-1, 2015)
Start date: 2016-07-01
End date: 2018-12-31
Duration (months): 30.0
Total project cost (EUR): 5445695.0
EU funding (EUR): 4590151.25
Participants: 16
Project status: CLOSED

“KATANA - Emerging industries as key enablers for the adoption of advanced technologies in the agrifood sector" supports European SMEs in the agrifood value chain to simultaneously access knowledge, technology, capital and markets in order to respond to the global competitive environment. KATANA aims to provide this access to companies by leveraging upon the multiplier potential of cross-border/cross-sectoral collaboration and the systemic approach which homogenizes services towards the overall aim to place new products/ services in the market. KATANA proposes a systemic approach by combining (i) an innovative selection and funding scheme based on peer to peer evaluation and crowdfunding; (ii) a holistic portfolio of support services covering the entire KATANA lifecycle and (iii) three large scale demonstrators capitalizing upon emerging industries (eco-industries, mobile services and personalized health). KATANA is a cluster-driven project, bringing together 7 active clusters of SMEs from all over Europe (from Scandinavia to Mediterranean and Balkans) covering the entire ecosystem, namely agriculture, food production and ICT/ emerging industries. At the same time a diverse and strong presence of five SMEs – technology providers within the consortium will guarantee that the technological infrastructure for the large scale demonstrators will be delivered by actors who understand the needs of the community. The innovative selection method and the corresponding algorithms will be provided by an RTD organization with long experience in organizing and running Open Calls and competitions for SMEs.

Keywords: agrifood ecosystem,emerging industries,clusters,innovation support,crowdfunding,large scale demonstrators
“Causes and consequences of pluripotency gene regulatory network member heterogeneity” (CACOHET)

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: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-08-01
End date: 2018-07-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

How stem cell populations balance the opposing forces of self-renewal and differentiation to maintain a functional population is a question that strikes at the heart of what it means to be a stem cell. Undifferentiated embryonic stem cell (ESC) identity is maintained by transcription factors (TFs) of the pluripotency gene regulatory network (PGRN) centred on the TFs Oct4, Sox2 and Nanog. ESCs with high levels of Nanog self-renew efficiently while ESCs with low Nanog levels are prone to differentiate. Therefore, the observed heterogeneous expression of some PGRN components, in particular Nanog, is likely to be important for simultaneous maintenance of self-renewal and facilitation of differentiation, thereby sustaining functional pluripotency. In this proposal I will unravel mechanisms establishing heterogeneity and characterise the role of Nanog in generating ESC heterogeneity. By determining chromatin binding dependencies between TFs and by using a novel approach to identify functional cis-elements that mediate Nanog action, these studies will illuminate mechanisms regulating ESC phenotype. The hypothesis that pluripotency is generated by heterogeneity in PGRN component expression, that then generates an ESC population in which single cells have distinct intrinsic probabilities for differentiation into specific cell types will be tested. Interfering with PGRN component function locus-specifically using a high efficiency genome engineering strategy, will explore a new method to influence cell-fate. Together, the proposed innovative experiments aim to increase the understanding of the causes and consequences of PGRN component heterogeneity and the regulation of pluripotency that may be of relevance to other stem cell systems. The results will have important implications for ESC biology, in terms of increasing the efficiencies of ESC derivation, differentiation, and the use of ESCs in future cell based regenerative medicine approaches.

Keywords: pluripotency,embryonic stem cells,nanog,transcription factor networks,heterogeneity,retrospective analysis of pluripotency factor binding,dcm methylation
Measuring the electron's electric dipole moment using ultracold molecules (UltracoldEDM)

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: Physics
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-05-14
End date: 2023-05-13
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

New fundamental particles at high energy scales that have not been reached by the Large Hadron Collider (LHC) could explain the observed matter-antimatter asymmetry that cannot be understood by the Standard Model of particle physics. These hypothetical particles, if they exist, will introduce a tiny electric dipole moment on the electron (eEDM), which can be probed by extremely sensitive measurement of the electron spin precession in a huge intra-molecular electric field. Previous eEDM measurements using relatively warm molecules are all consistent with zero and are mainly limited by spin coherence and interogation time. Here we propose to measure the eEDM using ultracold molecular beams. We will apply polarization gradient cooling in the two transverse directions to reduce the temperature to below 50 microkelvin. This will significantly increase the number of molecules that can be detected in the forward direction and improve the coherence. We will also develop a new deceleration technique for molecules, called Zeeman-Sisyphus deceleration, to reduce the forward velocity of the molecules to below 30 m/s that allows around 0.1 s interogation time, 100 times longer than the longest in the current beam experiments, in the measurement apparatus. Together with other improvements on molecule production, initial state preparation, magnetic field shielding and control, and spin state detection, we expect that the eEDM can be measured at least 10 or 100 times more precisely than the state-of-the-art level. This will be a search for new particles responsible for matter-antimatter asymmetry and a test of new physics beyond the Standard Model up to a few 100 TeV. This energy range extends far beyond the kinematic reach of any existing and near-future particle colliders and lies around the favoured mass range of many supersymmetric models.

Keywords: electron s electric dipole moment,fundamental symmetries,new physics beyond the standard model,laser cooling and deceleration of molecules