Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Global advisory DSS platform for citrus fruit growers (CITRUS-PORT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Slovakia
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

European commercial fruit orchards are faced with critical issue: 20-25 chemical sprays performed every season only against fungal pathogens translate into 200-250 kg of toxic chemicals per hectare, polluting the environment and financially burdening producers. EU Member States seek to reduce reliance on pesticides while ensuring the competitiveness of this sector. There is a high demand for IPM innovations and Decision Support Systems that would aid producers in protecting their crops. Drawbacks of currently available solutions create immense business opportunity for our project, which aims to revolutionize the field of IPM with its disruptive innovation - advisory platform CITRUS-PORT. It will become the first global digital advisory platform for citrus fruit segment, as market is currently missing any comprehensive solution for this crop. It will provide citrus growers with personalized advice on when and how to treat their orchards against diseases and pests, in order to increase efficiency and decrease pesticide use by 30-40%. Enabling our customers to conserve resources, while minimizing negative environmental consequences, significantly contributes to sustainable agriculture. The quality of produced fruits increases, as the toxic residues are reduced by 60%, contributing to safety of the EU food chain. CITRUS-PORT has potential to be global disruptive innovation as it is universally applicable not only within the whole EU, but worldwide, thanks to state-of-art technical solution (Cloud Software as a service - SaaS application) and unique causal algorithms developed during more than 20 years research work. Our solution is unparalleled as its algorithms are based on novel approach to understanding development cycles. That is why our customers can take measures at specific time, before disease symptoms become visible, at which point treatments becomes more costly and complicated.

Keywords: eco innovative food production,reduction of pesticide use,intelligent farming,integrated pest,management
Syzygies, moduli and topological invariants of groups (SYZYGY)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: Germany
Call: ERC Advanced Grant (ERC-2018-ADG, 2018)
Start date: 2020-03-01
End date: 2026-02-28
Duration (months): 72.0
Total project cost (EUR): 2147202.5
EU funding (EUR): 2147202.0
Participants: 1
Project status: SIGNED

This is a proposal aimed at harvesting interconnections between algebraic geometry and geometric group theory using syzygies. The impetus of the proposal is the recent breakthrough in which, inspired by rational homotopy theory, we introduced Koszul modules as novel homological objects establishing striking connections between algebraic geometry and geometric group theory. Deep statements in geometric group theory have startling counterparts in algebraic geometry and these connection led to a recent proof of Green's Conjecture for generic algebraic curves in arbitrary characteristic, as well as to a dramatically simpler proof in characteristic zero. Based on a dynamic view of mathematics in which ideas from one field trigger major developments in another, I propose to lead a group at HU Berlin dedicated to the following major themes, which are outlined in the proposal: (i) Find a solution to Green's Conjecture on the syzygies of an arbitrary smooth canonical curve of genus g. Find a full solution to the Prym-Green Conjecture on the syzygies of a general paracanonical algebraic curve of genus g. Formulate and prove a non-commutative Green's Conjecture for super algebraic curves. (ii) Compute the Kodaira dimension of the moduli space of curves in the transition case from unirationality to general type, when g is between 17 and 21. Construct the canonical model of the moduli space of curves and find its modular interpretation. (iii) Find algebro-geometric interpretations for Alexander invariants of the Torelli group of the mapping class group and that of the Torelli group of the free group. Understand the link between these invariants, the homotopy type and the cohomological dimension of the moduli space of curves. (iv) Get structural insight in the newly discovered topological version of Green's Conjecture involving the Alexander invariant of the group.

Keywords: syzygies,moduli spaces in algebraic geometry,green s conjecture,alexander invariants and torelli groups
Enhanced migration measures from a multidimensional perspective (HumMingBird)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Theme: Inclusive societies
Action type: Research and Innovation actions
Countries involved: Germany,Ireland,Italy,Spain,Italy,Malta,Belgium,Poland,Switzerland,Sweden,Türkiye,Norway,Serbia,Greece,Belgium,Netherlands,United Kingdom,United Kingdom
Call: Understanding migration mobility patterns: elaborating mid and long-term migration scenarios (H2020-SC6-MIGRATION-2019, 2019)
Start date: 2019-12-01
End date: 2024-05-31
Duration (months): 54.0
Total project cost (EUR): 2992035.0
EU funding (EUR): 2992035.0
Participants: 24
Project status: SIGNED

The significance of migration as a social, political and broader public concern has intensified significantly. Migration is increasingly seen as a high-priority policy issue by many governments, politicians and throughout the world. As well as migration projections and scenarios that are essential for appropriate planning and effective policymaking, a deeper understanding of the root causes and drivers of migration and of their interrelation with people’s propensity to migrate is needed. Enhancing migration data is a crucial step to advance migration governance since better data is needed in order to accomplish sustainable social and economic development and national migrant data strategies are required to inform good policies. The project’s overall objective is to improve understandings of changing nature of migration flows and the drivers of migration, to analyse patterns, motivations and new geographies. Moreover, HumMingBird aims to calculate population estimates and determine emerging trends and future trends and accordingly to identify possible future implications of today’s policy decisions. Correspondingly, migration scenarios will be developed in a more forward looking manner that takes into account both quantitative and qualitative perspectives of different migration actors that might have an impact people’s decisions to migrate and consequent trends that will have an impact on our societies. Global scenarios will base on not only a realistic understanding of the drivers and dynamics of migration but also on the effects and effectiveness of past migration policies. Projects ambitions are to identify the uncertainties and reappraise, to explore the reasons why migration predictions may not hold and to demonstrate non-traditional data sources for migration research.
A slow release insemination that doubles the success rate of the most common first line treatment of infertility. (EVIE 2.0)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Israel
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-12-01
End date: 2020-02-29
Duration (months): 3.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Infertility impacts 25 million European citizens and 90 million couples globally (1 in 6 couples). Europe’s total fertility rate is among the lowest in the world, at 1.5 children per woman, a figure that is expected to decrease further to 1.2 by 2030 – making it a critical public health issue. Typically, infertility is treated with intrauterine insemination (IUI) or IVF. IUI is the most common first-line treatment as it is non-invasive and relatively cheap, but its success rate of around 7% means that IVF, a far more expensive and invasive procedure, with an overall success rate of around 30% becomes necessary. The market needs an affordable, easily accessible, non-invasive alternative that increases the success rate. EVIE 2.0 is a patent protected, fully automatic slow release insemination device that bypasses the hostile cervix to slowly release sperm into the uterus over four hours via a proprietary balloon catheter and an insemination syringe. Unlike standard Intrauterine Insemination (IUI), EVIE mimics nature by slowly and gently releasing the sperm - maximizing the opportunity for the sperm to reach the egg and increasing the prospect of fertilization - more than doubling the success rate of 7.2% to 18.7% and decreasing the average cost per pregnancy. EVIE 2.0 will transform the infertility market by providing an alternative non-invasive first-line treatment solution with increased success rate, reducing the need for couples to resort to expensive and complex treatments. To have EVIE 2.0 fully projected at a European and global level we need a further investment of €2.5M to complete all product development, scale-up and complete a clinical study. The proposed work in Phase 1 of the SME instrument fits into our overall plan to reach the market by contributing the financial resources needed to plan a fast, sound and widee deployment of EVIE 2.0.

Keywords: infertility,slow release insemination,insemination device,intrauterine insemination,non invasive
Unique Light-Matter Interactions with Two-Dimensional Materials (unLiMIt-2D)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Germany,Germany
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-05-01
End date: 2023-10-31
Duration (months): 90.0
Total project cost (EUR): 1499931.66
EU funding (EUR): 463954.66
Participants: 2
Project status: SIGNED

Controlling light- and matter excitations down to the microscopic scale is one major challenge in modern optics. Applications arising from this field, such as novel coherent- and quantum light sources have the potential to affect our daily life. One particularly appealing material platform in quantum physics consists of monolayer crystals. The most prominent species, graphene, however remains rather unappealing for photonic applications due to the lack of an electronic bandgap in its pristine form. Monolayers of transition metal dichalcogenides and group III-VI compounds comprise such a direct bandgap, and additionally feature intriguing spinor properties, making them almost ideal candidates to study optics and excitonic effects in two-dimensional systems. unLiMIt-2D aims to establish these materials as a new platform in solid-state cavity quantum electrodynamics. The targeted experiments will be based on thin layers embedded in high quality photonic heterostructures providing optical confinement. Firstly, I will exploit the combination of ultra-large exciton binding energies, giant absorption and unique spin properties of such materials to form microcavity exciton polaritons. These composite bosons provide the unique possibility to study coherent quantum fluids up to room temperature. Due to the possibility of fabricating such structures by relatively simple means, establishing bosonic condensation effects in atomic monolayers can lead to a paradigm shift in polaritonics. Secondly, I will study exciton localization in layered materials, with the perspective to establish a new generation of microcavity-based quantum light sources. Light-matter coupling effects will greatly improve the performance of such sources. I will investigate possibilities of tuning the spectral properties of these localizations via external electric and strain-fields, to gain position control and make use of them as sources of single, indistinguishable photons.

Keywords: atomic monolayers,cavity quantum electrodynamics,bose einstein condensation,photonic,strong light matter coupling,single photon source
Designing and Enabling E-infrastructures for intensive Processing in a Hybrid DataCloud (DEEP-HybridDataCloud)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: e-Infrastructures
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Spain,Germany,Italy,Slovakia,Poland,Czechia,Portugal
Call: Platform-driven e-infrastructure innovation (H2020-EINFRA-2017, 2017)
Start date: 2017-11-01
End date: 2020-04-30
Duration (months): 30.0
Total project cost (EUR): 2988750.0
EU funding (EUR): 2988750.0
Participants: 11
Project status: CLOSED

The key concept proposed in the DEEP Hybrid DataCloud project is the need to support intensive computing techniques that require specialized HPC hardware, like GPUs or low latency interconnects, to explore very large datasets. A Hybrid Cloud approach enables the access to such resources that are not easily reachable by the researchers at the scale needed in the current EU e-infrastructure. We also propose to deploy under the common label of “DEEP as a Service” a set of building blocks that enable the easy development of applications requiring these techniques: deep learning using neural networks, parallel post-processing of very large data, and analysis of massive online data streams. Three pilot applications exploiting very large datasets in Biology, Physics and Network Security are proposed, and further pilots for dissemination into other areas like Medicine, Earth Observation, Astrophysics, and Citizen Science will be supported in a testbed with significant HPC resources, including latest generation GPUs, to evaluate the performance and scalability of the solutions. A DevOps approach will be implemented to provide the chain to ensure the quality of the software and services released, that will also be offered to the developers of research applications. The project will evolve to TRL8 existing services and technologies at TRL6+, including relevant contributions to the EOSC by the INDIGO-DataCloud H2020 project, that the project will enrich with new functionalities already available as prototypes, notably the support for GPUs and low latency interconnects. These services will be deployed in the project testbed, offered to the research communities linked to the project through pilot applications, and integrated under the EOSC framework, where they can be further scaled up in the future.

Keywords: cloud,extremely large data,deep learning,hybrid
QLEX Creo – Bringing reach to the drone market. (QLEX Creo)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Germany
Call: Small business innovation research for Transport and Smart Cities Mobility (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-12-01
End date: 2018-10-31
Duration (months): 11.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The impact of drones and its commercial applications is often being compared with the disruptive force of the IT revolution. Soon, clients in all areas of the economy will begin to see the impact of drones on their operational processes – from the way they inspect construction sites to the way they receive goods like parcels or blood supply. The global market for commercial applications of drones – in 2016 estimated at about EUR 1.9 bn – will rise to as much as EUR 118 bn by 2020. But the application of today’s drones is limited by a crucial weakness in technology: reach. Depending on the construction type, today’s comparable industry class electric drones cannot fly longer 2 hours. Short flight time is one key barrier for a widespread usage of drones. Especially the transport industry is dependent on longer distance flights. At QLEX we developed the QLEX Creo – a winged drone that can takeoff and land vertically and achieve 4-5 hours of flight time. We achieved this breakthrough efficiency by completely rethinking the architecture, aerodynamics and propulsion systems of how drones can be built. QLEX has been running for two years, but was a secret until now. We spent the last 24 months in stealth mode designing, prototyping and testing the Creo and forming a highly skilled and experienced team of leading experts and engineers and startup shaped business developers. We now established our company, the QLEX GmbH, to assess the technological feasibility and commercial potential of the Creo. One key objective of this project is a record-breaking proof of concept by carrying out a delivery from German mainland to remote island Helgoland and return in one non-stop flight. No competing solution is close of being capable of achiving this.

Keywords: drone,drones,rpas
Translating the Global Refined Analysis of Newly transcribed RNA and Decay rates by SLAM-seq (T-GRAND-SLAM)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Immunity, Infection and Immunotherapy
Panel description: The immune system, related disorders and their mechanisms, biology of infectious agents and infection, biological basis of prevention and treatment of infectious diseases, innovative immunological tools and approaches, including therapies
Countries involved: Germany
Call: ERC Proof of Concept Grant (ERC-2018-PoC, 2018)
Start date: 2019-03-01
End date: 2020-08-31
Duration (months): 18.0
Total project cost (EUR): 149564.0
EU funding (EUR): 149564.0
Participants: 1
Project status: CLOSED

I propose to introduce novel analysis tools via a platform for three recently developed RNA sequencing (RNA-seq) mI propose to introduce novel analysis tools via a platform for three recently developed RNA sequencing (RNA-seq) methods (SLAM-seq, TimeLapse-seq and TUC-seq). All three methods enable the direct detection of new RNA transcribed by cells in a defined window of time within the pool of total cellular RNA. This is achieved by the introduction and subsequent detection of base-mismatches in newly transcribed RNA using RNA-seq. The ability to differentiate “new” from “old” RNA greatly increases the temporal resolution of RNA-seq experiments. In the frame of my ERC CoG grant “HERPES”, we developed a computational approach (an algorithm) termed GRAND-SLAM (Globally Refined Analysis of Newly transcribed RNA and Decay rates using SLAM-seq; patent application filed) to reliably define the relative contributions of “new” and “old” RNA. GRAND-SLAM not only directly computes the contribution of “new” and “old” RNA but also provides credible intervals that allow to judge the precision of the obtained ratios for each gene. GRAND-SLAM thereby provides novel means to identify perturbations in RNA synthesis and decay. Furthermore, GRAND-SLAM directly reduces experiment costs by eliminating the need for control samples to determine sequencing error rates. In conclusion, SLAM-seq will become the new standard for gene expression profiling worldwide and GRAND-SLAM the computational tool to analyze the respective data. Within this PoC-project, we will present the GRAND-SLAM analysis platform and prepare its introduction on the market with prospective customers in three areas: next-generation-sequencing companies, pharmaceutical industry, and research institutes. We will validate the analysis platform, improve its usability via direct testing with pilot customers, and develop our envisaged business strategy according to the feedback we will gain in the course of the project.

Keywords: gene expression profiling,rna seq,slam seq,rna decay,single cell sequencing,bioinformatics
Standard Operating Procedures for Research Integrity (SOPs4RI)

Framework: Horizon 2020 — Science with and for Society
Programme: Develop the governance for the advancement of responsible research and innovation by all stakeholders, which is sensitive to society needs and demands and promote an ethics framework for research and innovation
Action type: Coordination and support actions
Countries involved: Austria,Italy,Ireland,Belgium,Belgium,Greece,Croatia,Poland,Netherlands,Netherlands,United Kingdom,United Kingdom,Denmark
Call: Developing research integrity standard operating procedures (H2020-SwafS-2018-1, 2018)
Start date: 2019-01-01
End date: 2022-12-31
Duration (months): 48.0
Total project cost (EUR): 3999860.0
EU funding (EUR): 3999860.0
Participants: 13
Project status: CLOSED

The objective of the Standard Operating Procedures for Research Integrity (SOPs4RI) project is to promote excellent research that aligns with the principles and norms of the European Code of Conduct for Research Integrity, and to counter research misconduct. SOPs4RI will stimulate transformational processes across European research performing organisations (RPOs) and research funding organisations (RFOs) to achieve this goal. SOPs4RI involves a mixed-methods, co-creative approach to the development and empirical validation of standard operating procedures (SOPs) and guidelines to cultivate research integrity and reduce detrimental practices. With rigorous methods, the SOPs and guidelines will be developed by experts and key stakeholders and will be offered as flexible tools for RPOs and RFOs to develop Research Integrity Promotion Plans. Active researchers in the EU and selected OECD countries will be surveyed as part of the validation procedure. Proposals for appropriate incentives and novel sanctions will be developed to promote adoption. The discipline-sensitive SOPs and guidelines will support the production of sound, trust-worthy knowledge, a precondition for tackling the current crisis of truth and trust in science. In turn, a strong research integrity culture and high epistemic quality of research-based knowledge will make a vital contribution to addressing the EU’s current and future challenges. SOPs4RI is fully aligned with the core objectives of the Science with and for Society 2018-20 Work Programme and will draw upon and liaise with other projects in the work programme. To maximise the feasibility and impact of the project’s outcomes, SOPs4RI engages with key stakeholders in the ERA and beyond in an iterative development, cost benefit assessment, and real world validation of the toolbox of SOPs and guidelines. A strategic communication plan leveraging the support of key partners will be implemented to maximise short, medium, and longer term impacts.

Keywords: standard operating procedures,guidelines,research integrity promotion plans