Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Solutions and Technologies for deep Energy renovation Processes UPtake (StepUP)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Reducing energy consumption and carbon foorpint by smart and sustainable use
Action type: Innovation actions
Countries involved: Italy,Spain,Spain,Italy,Spain,Ireland,Hungary,Belgium,Belgium,Hungary,Denmark,United Kingdom
Call: Decarbonisation of the EU building stock: innovative approaches and affordable solutions changing the market for buildings renovation (H2020-LC-SC3-EE-2018, 2018)
Start date: 2019-08-01
End date: 2024-04-30
Duration (months): 57.0
Total project cost (EUR): 4778756.74
EU funding (EUR): 3692578.75
Participants: 16
Project status: SIGNED

The 2018 EPBD update identifies deep renovation as key to drastically reduce energy demand and achieve the EU vision of a decarbonised building stock by 2050. The technology to achieve this reduction is available on the market today. Renovation rates are still far from the target 3% and shallow retrofits persist with low impacts on energy consumption. StepUP will develop a new process for deep renovation for decarbonisation, with fast design to operation feedback loops to minimise performance gap and optimise investments. The project will deliver plug&play technologies for minimal disruption, interconnected for maximum impact on energy, costs, IEQ and user comfort. The new iterative approach to renovation, based in big data for continuous performance improvement, will reduce financial barriers and make decarbonisation of existing buildings a reliable, attractive investment. StepUP will: 1. Make renovation more attractive and reliable with a new methodology based on near-real time data intelligence to identify cost-optimal, high impact interventions at any stage of the building life; 2. Reduce the performance gap to 10% via an integrated life-cycle software platform to plan renovation steps, identify high value ECM, improve IEQ, integrate RES (including storage) and optimise operations by constantly refining and verifying targets and constraints; 3. Minimise time on site to 40% by advancing innovative technologies for deep renovation to a market-ready renovation package of Plug & Play Technologies, including RE generation and storage for decarbonisation; 4. Optimise renovation investments via innovative financing models for optimisation of energy, comfort and cost performance over the building life, based on progressive financing and building performance as a service; 5. Accelerate the renovation market via an open protocol for interoperability of the StepUP solutions with third party market products, fostering a plug&play environment accessible to innovative SMEs.

Keywords: deep renovation,decarbonisation,pre assembly,market transformation
Intelligent cashflow management and forecasting platform providing insights for financial decision making of SMEs (Fluidly)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: United Kingdom
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-08-01
End date: 2019-11-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Cashflow is the lifeblood of any business and the accuracy of forecasting is critical to avoid shortfalls in cash balances, ensuring that payments can be made and ultimately avoid insolvency. Whilst there is an increased focus towards improving cashflow management, the inability to manage cashflow effectively is still a significant cause of small business failure: 50% of SMEs fail in the first 5-years, with 80% of failures due to cashflow issues. Cashflow management is a complex process, commonly delivered either by a remote book-keeper or an expensive in-house accountant. SMEs have a poor quality of these services and receive accounts days or weeks after a period end. Moreover these traditional methods often rely on projections based on a few historical data and inaccurate assumptions, posing SMEs at high failure risk. Fluidly is the first intelligent cashflow management software based on Artificial Intelligence and machine learning algorithms for accurate forecasting of cashflow in SMEs. Fluidly provides accounting firms and business owners with real-time insights about cash flow, its projection, associated risks and suggested actions. It enables accounting firms to provide additional service to SMEs - specific business recommendations according to big data and past actions. Fluidly saves time through automation and uses powerful data analytics with real-time notifications to draw attention to the risks, issues or actions that require further intervention of accounting firms and SMEs. Like an anti-virus software, Fluidly works away in the background providing peace of mind with proactive interventions when needed. During phase 1 of SME instrument, Fluidly will establish a sound go-to-market strategy and a supply chain, and draft further development plans. In phase 2, Fluidly will optimize the platform with new features, and validate it through a large scale pilot with SMEs.

Keywords: business process innovation,automated cashflow management,cashflow forecasting,fintech,sme innovation,machine learning,artificial intelligence,web based platform,big data,risk assessment
Narratives of Loss: Unravelling the Origins of Support for Socially Conservative Political Agendas (LOSS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Italy
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-03-01
End date: 2025-02-28
Duration (months): 60.0
Total project cost (EUR): 1993518.0
EU funding (EUR): 1993518.0
Participants: 1
Project status: SIGNED

The key aim of the LOSS project is to unravel: How economic hardship affects support for socially conservative political agendas aimed at restricting the rights of marginalised groups (ethnic, linguistic and religious minorities, migrants, LGBTQIA+ and women), and how local and national policy contexts affect this relationship. Many European societies have recently experienced growing prejudice towards marginalised groups and the rise in support for far-right parties advocating to restrict the rights of these groups. These developments threaten the cohesion of national and local communities across Europe. While aggregate level evidence suggests that financial crises generally coincide with increased support for far-right parties, we do not understand why this happens. By developing a groundbreaking interdisciplinary theoretical framework that integrates insights about the role of loss from political science, sociology, social psychology and behavioural economics, the LOSS project contends that experiences of economic hardship translate into specific narratives of loss that in turn trigger support for social conservative political agendas. To empirically examine the importance of narratives of loss, the LOSS project employs an innovative multi-method empirical approach combining qualitative and quantitative research methodologies. To uncover the role of context, the project compares five European countries (Italy, Germany, the Netherlands, Sweden, and the United Kingdom) that vary in the level of compensation provided for economic hardship, and local contexts within these countries.

Keywords: public opinion,political parties,public policy,voting behavior,economic hardship
PHILOS: Real-time Detection and Automated Mitigation of BGP Prefix Hijacking Attacks (PHILOS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Greece
Call: ERC-Proof of Concept (ERC-2017-PoC, 2017)
Start date: 2019-01-01
End date: 2020-06-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

The Internet, with its unprecedented success and global scale as a network of networks, depends heavily on few fundamental technologies. One of these technologies is the Border Gateway Protocol (BGP), which glues together the independent networks of the Internet. BGP, based on a three-decade old design, is highly susceptible to BGP prefix hijacking attacks. These attacks, which have been repeatedly covered in the news due to their critical impact in several prominent cases, persistently pest network operators and users accessing their services, as they have the capability to render entire networks (and their services) unreachable. The resulting network outages, lasting from several hours to days, cost millions of dollars. BGP prefix hijacking events result usually from human error, but can also be malicious. Offenders can impersonate victim networks, steal sensitive information, or stealthily intercept and manipulate traffic destined to legitimate destinations. Current approaches to defend against hijacking attacks (a) are poorly adopted, due to their high cost and low immediate benefit, or (b) rely on inaccurate detection mechanisms that generate numerous false alerts, while lacking automation. The latter results in manual and slow mitigation processes, which is presently the norm. PHILOS is a new approach to defend against BGP prefix hijacking attacks. It focuses on real-time detection and automated mitigation, relies on novel detection algorithms, and employs new technologies in order to reduce the duration of the detection/mitigation cycle from hours and days, down to a few seconds. It therefore greatly reduces the cost of outages. The goal of this project is twofold. First, it aims to create a Proof of Concept implementation of PHILOS that can be deployed within the network of potential future customers. Second, it will form a business plan aiming to establish the necessary environment for finding the first commercial customer of PHILOS.

Keywords: bgp prefix hijacking,internet routing,network security,network monitoring
Industrial-scale plant-based protein production in a cell-free platform (PEPPER)

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: 2022-02-28
Duration (months): 27.0
Total project cost (EUR): 3391250.0
EU funding (EUR): 2373875.0
Participants: 1
Project status: CLOSED

The company LenioBio is a biotech company that develops and markets a novel, unique and proprietary protein production platform, ALiCE®, which enables protein-based therapeutics to become more accessible and affordable and specifically targeting the substantial but underserved class of ‘difficult-to-express (DTE) proteins’. LenioBio has developed a proprietary tobacco-based cell-free protein synthesis (CFPS) platform “ALiCE” with a higher yield (3 mg/ml) than any other eukaryotic cell-free system currently available (0.2 mg/ml) at a lower cost, while ensuring protein stability and activity. The goal of PEPPER is to bring LenioBio to a position of competitiveness and growth to be able to meet the current industrial demands of ‘difficult- to-produce’ proteins for various biotechnology sectors (e.g. pharmaceutical, and agricultural industries). To achieve this, LenioBio will scale-up the protein production capacity and yield to be able to produce proteins at an industrial scale using a semi- automated platform, while complying to GMP protocols and FDA/EMA regulations for biopharmaceuticals proteins. LenioBio’s mission is to offer a fully integrated protein production platform for pharmaceutical and biotechnology companies with the ability to scale along with our customers’ needs. LenioBio is developing the ALiCE® technology into the first eukaryotic cell-free production platform for any proteins. LenioBio launched its first product as a protein expression kit in 2018 under the name ALiCE® (Almost Living Cell-free Expression). Due to its sustainable competitive advantages, already within nine months, 8 of the top 10 biopharma companies are customers, with more in the process of registering LenioBio as a vendor.

Keywords: cell free protein expression,in vitro protein synthesis,large scale protein production
Riding a ‘Trojan horse’ against cancer (TROJAN)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Biotechnology and Biosystems Engineering
Panel description: Biotechnology using all organisms, biotechnology for environment and food applications, applied plant and animal sciences, bioengineering and synthetic biology, biomass and biofuels, biohazards
Countries involved: Poland
Call: Call for proposals for ERC Proof of Concept Grant (ERC-2020-PoC, 2020)
Start date: 2021-01-01
End date: 2022-12-31
Duration (months): 24.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

New therapeutic approaches have led to significant improvements in cancer treatment, but none have been able to overcome the limited efficacy of solid tumor treatment due to poor tumor delivery and the presence of hypoxic tumor cells. Macrophages represent a promising vesicle to deliver cancer therapeutics to solid tumors as they are continuously recruited into the tumor mass, even the most hypoxic regions. Our pioneering research demonstrated that macrophages are able to take up ferritins loaded with anti-cancer drugs, creating Macrophage-Drug Conjugates (MDCs), and transfer these to cancer cells and kill them, a phenomenon we named TRAIN. In my ongoing ERC STARTING GRANT PROJECT ‘MCHAP’, we have proven that MDCs can be used as a ‘Trojan horse’ to efficiently deliver drugs directly to the cancer cells via TRAIN. Now we aim to turn the MDC technology into a COMMERCIAL and SOCIAL VALUE PROPOSITION by confirming our findings in a PDX model, which is crucial to raise interest of and establish a co-development (or licensing) deal with big pharma’s to realize commercialization and clinical uptake of our IP-protected MDC technology. During the ERC PoC project, we determine the optimal efficacy of MDC delivery, examine the concentration of the drug delivered to the tumor and other organs, validate the efficacy of MDC delivery in PDX mice after MDC treatment,and optimize our business case. This project will thus provide PROOF OF CONCEPT for the efficacy and pharmacokinetics of, and establish the viability, feasibility, commercialization and overall direction for our innovative MDC technology. This project will substantially contribute to bring our MDC technology to the market and in clinical practice, where our MDC technology has the promising potential to improve prognosis of cancer patients, improve the performance of anti-cancer drugs, and reduce healthcare costs. THE NEW, INNOVATIVE MDC TECHNOLOGY CAN THUS REALIZE SIGNIFICANT BENEFITS FOR OUR SOCIETY AND OUR ECONOMY.

Keywords: drug delivery platform,targeted drug delivery,macrophage drug conjugates mdcs,transfer of,iron binding proteins train,macrophages,ferritins,advanced solid tumors
Instantaneous Road Traffic Emissions Modelling System for cities (IRTEMS)

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: Environment and Geosciences
Countries involved: Spain,United States
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-02-15
End date: 2024-02-14
Duration (months): 36.0
Total project cost (EUR): 245732.16
EU funding (EUR): 245732.16
Participants: 2
Project status: SIGNED

IRTEMS aims at developing an instantaneous road traffic emission modelling system for its application at city scale. The final result is a useful and thorough tool to provide accurate city-wide emission results considering European traffic conditions. It will be developed by means of the implementation of an instantaneous traffic emission modelling system with high resolution at city scale. This tool will help to give knowledge-based answers for measures to be implement for a good air quality in the European Union cities taking into account gender dimension and ethical aspects in all steps of the project. For the purpose of the project a 2-year stay in the USA with experts on measuring and modelling emissions is proposed with a 1-year returning phase to an emission and air quality modelling reference group in Europe, located in Madrid. Collaborations with enterprises of the transport sector and other research organizations with expertise on instantaneous traffic emission models are contemplated through the research program. This aspect reinforce the strong inter/multidisciplinary of the project to develop a powerful tool and to provide solutions involving different aspects to generate an important impact on society. On the other hand this ambitious project is a career opportunity that will help to generate new research lines and reinforce an independent position of the researcher through the scientific training activities and complementary skills developed during the action. All the research results and knowledge generated during the project will be openly accessible by scientific publications and several dissemination activities for different target audiences. This will help to involve different sectors on the research activities from the EU, increasing the interest of a wider part of the society. In this case, by contributing to a better air quality in accordance with the targets of the European climate action plan through the analysis of air traffic emissions.

Keywords: road traffic,microsimulation,instantaneous emission modelling,city scale
Load Slice Core: A Power and Cost-Efficient Microarchitecture for the Future (Load Slice Core)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Belgium
Call: ERC Advanced Grant (ERC-2016-ADG, 2016)
Start date: 2018-01-01
End date: 2023-12-31
Duration (months): 72.0
Total project cost (EUR): 2499500.0
EU funding (EUR): 2499500.0
Participants: 1
Project status: SIGNED

The ideal processor building block is a power and cost-efficient core that can maximize the extraction of memory hierarchy parallelism, a combination that neither traditional in-order nor out-of-order cores provide. We propose the Load Slice Core microarchitecture, a restricted out-of-order engine aimed squarely at extracting memory hierarchy parallelism, which, according to preliminary results, delivers a nearly 8 times higher performance per Watt per euro compared to an out-of-order core. The overarching objective of this project to fully determine the potential of the Load Slice Core as a key building block for a novel multi-core processor architecture needed in light of both current and future challenges in software and hardware, including variable thread-level parallelism, managed language workloads, the importance of sequential performance, and the quest for significantly improved power and cost efficiency. We anticipate significant improvement in multi-core performance within the available power budget and cost by combining chip-level dynamism to cope with variable thread-level parallelism along with the inherent power- and cost-efficient Load Slice Core design. If we are able to demonstrate the true value and potential of the Load Slice Core to address future hardware and software challenges, this project will have a long-lasting impact on the microprocessor industry moving forward.

Keywords: computer architecture
Workforce Sustainability Testing Platform (Work-STeP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Netherlands
Call: ERC-Proof of Concept (ERC-2017-PoC, 2017)
Start date: 2018-09-01
End date: 2020-02-29
Duration (months): 18.0
Total project cost (EUR): 149963.0
EU funding (EUR): 149963.0
Participants: 2
Project status: CLOSED

With the proposed Workforce Sustainability Testing Platform (Work-STeP) organisations will have a tool to assess their HR practices with regards to workforce sustainability (e.g. engagement, health, performance).The proposed project will have a profound impact on the European business community. By automating all aspects of the platform, Work-STeP is able to offer its services at affordable rates. Where traditional HR analytics are often too costly for small and medium establishments (SMEs), with Work-STeP SMEs too will be able to assess their workforce sustainability. The project will be embedded in the host institution’s Future of Work Hub and will be supported by its advisory committee consisting of executives from large national and international organisations. The advisory committee, and the PI’s network of organisations from the Sustainable Workforce project will ensure that Work-STeP will be in line with industry demands. In the Proof of Concept phase the team will determine whether and to what extent the platform can use our substantial benchmark dataset from the ERC-Advanced Sustainable Workforce project, in which we investigated what HR investments organisations make and the effects they have on the workforce, in 259 organisations from nine EU countries across six economic sectors. Work-STeP will offer the manager insight in key performance measures of teams within the organisation. Lower team or organisation scores, in comparison with their sector and region, expose areas where there is room for growth in terms of workforce sustainability. These areas of concern, team demographics and the Sustainable Workforce analyses on policy effectiveness allow Work-STeP to offer organisations contextualized advice on which investments to use.

Keywords: workforce sustainability,hr policy assessment,online testing platform