Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Advancing the Green Chemistry of Singlet Oxygen and Applying it to Synthetic Challenges (SINOXYGEN)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Materials and Synthesis
Countries involved: Greece
Call:  (ERC-2011-StG_20101014, 2011)
Start date: 2011-10-01
End date: 2017-09-30
Duration (months): 72.0
Total project cost (EUR): 1338000.0
EU funding (EUR): 1338000.0
Participants: 1
Project status: CLOSED

Novel synthetic methods are vital to the work of a host of key chemical disciplines; from new materials and nanotechnology to pharmaceuticals, practitioners constantly need cleaner, greener, milder and more efficient ways to synthesize their chosen targets. In this proposal, we seek to develop, and then apply to some very challenging scenarios, a set of particularly powerful and beyond the state-of-the-art new methods, using singlet oxygen, that will meet all these tough criteria. Singlet oxygen is a remarkable reagent; it is a natural, cheap, green and atom-efficient oxidant. It also makes an ideal initiator for cascade reaction sequences through which molecular complexity is enhanced very rapidly and effectively. With this chemistry protecting groups and toxic heavy metal oxidants, both normally associated with the construction of molecules rich in oxygen functionality, are not needed. In the projects described within this proposal, singlet oxygen will be manipulated to orchestrate a diverse range of cascade reaction sequences, and “super cascade” reaction sequences, by which complex polyoxygenated and polycyclic molecular architectures will be synthesized, from very simple and readily accessible furan precursors, in one-pot. Polyoxygenated-polycyclic motifs are common synthetic targets across a range of disciplines. In our case, we will focus research efforts towards bioactive natural products because these highly complex and intricate structures provide the best, and most challenging, testing grounds for any new set of chemical methods. The natural products chosen belong to the azaspiracid, pinnatoxin/pteriatoxin, spirolide and pectentoxin families, respectively. We also hope to further promote the widespread application of these singlet oxygen-based chemical solutions to a host of problems by developing a prototype Continuous Flow Reactor that will facilitate large scale photooxygenations.

Keywords: synthetic methodologies,biologically active natural products,singlet oxygen,green chemistry,organic photochemistry,continuous flow reactors
Agriculture, Food Security, and Climate Change (FACCE CSA)

Framework: FP7 — Cooperation
Programme: Food, Agriculture and Fisheries, and Biotechnology
Destination: Sustainable production and management of biological resources from land, forest, and aquatic environment
Action type: Coordination and support actions
Countries involved: France,Ireland,Germany,Austria,Germany,Spain,Romania,Netherlands,Netherlands,Türkiye,Denmark,United Kingdom
Call:  (FP7-JPROG-2011-RTD, 2011)
Start date: 2011-04-01
End date: 2014-09-30
Duration (months): 42.0
Total project cost (EUR): 2317025.0
EU funding (EUR): 1998873.0
Participants: 13
Project status: CLOSED

The FACCE (Agriculture, Food Security, and Climate Change) CSA will prepare and support the successful development of FACCE JPI and deliver strong foundations designed to insure long term durability and a strong impulse to allow a rapid start to Joint Programming and Joint actions. The FACCE CSA will: - Define the research priorities in terms of research pillars as well as agendas based on foresight and a common understanding of the challenges ahead - Finely map the European research in the agreed prioritised areas and develop a catalogue of joint actions, options for the pooling of national expertise and resources and initiate closer and robust collaboration among the participating states of FACCE JPI in agriculture, food security and climate change - Share knowledge, know-how as well as equipment and existing research infrastructures and/or develop new facilities - Promote the CSA through communication actions with stakeholders as well as other relevant initiatives at the national, transnational, European and international levels - Coordinate and develop FACCE relationships with other relevant international initiatives - Ensure the long term viability of the FACCE JPI by designing and implementing the JPI permanent governance, management structure and long-term financial continuity, beyond the CSA - Ensure project monitoring and consortium coordination according to contractual obligations and the needs of the JPI governance. It is thus expected that the FACCE CSA, through its support to the FACCE JPI, will permit significant advances in the coordination and cooperation between national programmes on the challenge of agriculture, food security and climate change and that will contribute to the building of the European Research Area.

Keywords: agriculture,food security,climat change,the joint programming initiative,joint actions,european research area,scientific advisory board,strategic research agenda,challenges,jpi governance
Low Cost and low Energy GNSS-based WIreless Tag for asset Tracking and monitoring (CEWITT)

Framework: FP7 — Cooperation
Programme: Transport (including Aeronautics)
Destination: Support to the European global satellite navigation system (Galileo) and EGNOS
Action type: Collaborative project
Countries involved: France,Germany,United Kingdom
Call:  (FP7-GALILEO-2011-GSA-1-b, 2011)
Start date: 2012-05-30
End date: 2014-04-29
Duration (months): 23.0
Total project cost (EUR): 896095.67
EU funding (EUR): 574740.0
Participants: 5
Project status: CLOSED

Nowadays, all long range asset tracking applications make use of the GSM/GPRS network to transfer the position of the items being monitored at regular intervals to treatment servers and end-users. These communication channels call for expensive subscriptions with telecom operators which limit their use to those applications which are worth the investment either from an economic or safety standpoints. Yet, many additional ‘tracking’ applications could be envisaged provided that long range communication costs could be decreased. The SigFox Wireless company has developed the TransFox Ultra Narrow Band technology which brings drastic enhancements in terms of range, capacity, autonomy, power consumption and total system cost, compared to competing technologies. Targeted to be deployed as a wide area wireless communication system, the technology allows offers higher coverage than GSM/GPRS with the same output power as WiFi or Bluetooth. The STERELA company benefits from a strong market positioning for traffic counting and road data collection equipment. Based on its market knowledge, STERELA is convinced of the opportunity to combine such new radio-communication systems with their own leading edge expertise in low consumption electronics to open new GNSS applications in the road area. In this overall context, the CEWITT project aims at developing an innovative wireless tag and the associated SIGFOX wireless communication and GNSS geo-positioning capabilities with the objective to ensure the integrity and cost effectiveness of Pay per Use parking & Identification of free parking slots applications in Urban Areas. The optimisation of EGNOS / GPS capabilities, map matching techniques, correlation with SIGFOX signals and the development of specific algorithms working on EGNOS corrected pseudo-ranges and pseudo range differences will allow maximising the level of accuracy and integrity needed in the applications.

Keywords: tracking applications,innovative wireless communication technology,low cost,low energy wireless tag,location of available parking spaces in urban areas,pay-per-use parking
Development of novel treatment strategies based on knowledge of cellular dysfunction in diabetes (BETABAT)

Framework: FP7 — Cooperation
Programme: Health
Destination: Translating research for human health
Action type: Collaborative project
Countries involved: Belgium,United Kingdom,Switzerland,United States,Spain,Sweden,Finland,Germany,Belgium,Denmark,Germany
Call:  (FP7-HEALTH-2011-two-stage, 2011)
Start date: 2011-10-01
End date: 2015-09-30
Duration (months): 48.0
Total project cost (EUR): 8005516.8
EU funding (EUR): 5999000.0
Participants: 11
Project status: CLOSED

A reduction in functional pancreatic beta cell mass is the key feature of type 1 and type 2 diabetes. Beta cell failure is exacerbated in the context of obesity and insulin resistance. Brown adipose tissue (BAT) is a highly metabolic organ, mediating energy dissipation and glucose disposal, thus contributing to maintain energy balance. BAT dysfunction contributes to obesity and impaired glucose metabolism, increasing functional demand on the beta cells. The cellular dysfunction of beta cells and BAT in diabetes is the fruit of defective signal transduction and organelle function, and the vulnerability to these molecular defects may be modulated by diabetes genes. To identify the crosstalk and pathways responsible for beta cell and BAT dysfunction and beta cell apoptosis in diabetes at its real level of complexity, this consortium will use cutting edge genetics, functional (epi)genomics, molecular biology and computational tools to reach an accurate organelle and cell diagnosis. This diagnosis will be used to define novel targets for intervention to prevent dysfunction and facilitate recovery of functionally impaired metabolic tissues. Some of these targets have already been identified by consortium members, including endoplasmic reticulum (ER) stress and mitochondrial dysfunction and apoptosis. Since many of these targets are related to dysfunction of specific organelles, we will focus on the novel concept of organelle therapy, aiming to preserve mitochondrial and ER function by the use of viral vectors and small molecule chemical probes. We will thus follow a two-pronged approach, namely a focused approach to restore known and specific cellular/organelle dysfunctions and a systems biology approach to identify novel targets for intervention. This, in combination with high throughput screening of large compound libraries, will translate discoveries into innovative therapeutic strategies that halt destruction and facilitate recovery of cell dysfunction in diabetes.

Keywords: diabetes,pancreatic beta cell,brown adipose tissue,cell dysfunction,metabolic crosstalk,functional (epi)genomics,high throughput screening,small molecule chemical probes
OpenCarData (OCD)

Framework: FP7 — Cooperation
Programme: Transport (including Aeronautics)
Destination: Support to the European global satellite navigation system (Galileo) and EGNOS
Action type: Collaborative project
Countries involved: United Kingdom,Netherlands,Germany,Luxembourg
Call:  (FP7-GALILEO-2011-GSA-1-b, 2011)
Start date: 2012-01-10
End date: 2013-07-09
Duration (months): 18.0
Total project cost (EUR): 712128.0
EU funding (EUR): 428872.0
Participants: 4
Project status: CLOSED

Vehicle Emission Profiles leverage OpenCarData / OBD-II Technology to generate real-world carbon emission profiles from passenger vehicles to contrast these with European Union legislation for Car Energy Labelling (Directive 1999/94/EC). Emission Profiles have a one-to-one relationship with a driver's automotive behaviour, hence they provide a management tool for drivers, fleet owners & governments to share, compare & change real world – location based – car related CO2 emissions.

Keywords: vehicle emission profiles,energy,gnss,road user charging,co2,emission
IMmune MOdulating strategies for treatment of MErkel cell Carcinoma (IMMOMEC)

Framework: FP7 — Cooperation
Programme: Health
Destination: Translating research for human health
Action type: Collaborative project
Countries involved: Austria,Italy,Germany,Denmark,France,Spain,Germany,United Kingdom,Germany,Poland
Call:  (FP7-HEALTH-2011-two-stage, 2011)
Start date: 2012-01-01
End date: 2016-12-31
Duration (months): 60.0
Total project cost (EUR): 7426212.03
EU funding (EUR): 5717979.0
Participants: 11
Project status: CLOSED

Merkel cell carcinoma (MCC) is a highly aggressive, often lethal neuroendocrine cancer of the skin associated with the recently discovered, common Merkel cell polyomavirus (MCV). With an incidence of 0.44 per 100,000 MCC is a very rare cancer. Notably, however, although MCC is 40 times less common than malignant melanoma, MCC has a dramatically higher mortality rate than melanoma rendering MCC to the most lethal skin cancer (37 versus 15 percent). This high mortality rate is largely due to the fact that to date none of the currently available therapeutic interventions is able to improve overall survival of patients suffering from metastatic disease. Consequently, new therapeutic strategies are needed for metastatic MCC. Since several lines of evidence indicate the outstanding immunogenicity of MCC, immune modulating treatment strategies are particularly attractive. IMMOMEC is a 5-year project to establish and investigate an innovative and effective immunotherapy for MCC, thus directly responding to the aims of the topic HEALTH-2011.2.4.1-1 Investigator-driven treatment trials for rare cancers. IMMOMEC will develop a rational immune therapeutic approach for treatment of patients with MCC that is based on the targeted delivery of interleukin-2 to the tumor microenvironment. However, IMMOMEC will not only provide a new therapeutic option for MCC patients, but will also establish the relevance of immune modulating strategies to treat solid cancers in general, establish and validate new tools to monitor patients receiving such therapies as well as compile prognostic and predictive biomarkers to individualize immune modulating therapies. Moreover, IMMOMEC will introduce a new immune modulating therapeutic produced by a European SME, which also holds the intellectual property rights. Objectives of IMMOMEC: I. Establish an effective therapy for Merkel cell carcinoma evaluated in a multicentre randomized clinical phase II trial II. Establish the feasibility of effective immunotherapy for solid cancers III. Identification and characterization of HLA-restricted immunodominant T cell epitopes specific for MCC to monitor the immune modulating effect and to develop specific therapeutics IV. Identification of prognostic and predictive biomarkers, i.e. search for markers foretelling the course of disease or treatment response in MCC, respectively V. Establish a European network for research and therapy of MCC

Keywords: merkel cell carcinoma,immune therapy,randomized phase iib clinical trial,biomarker
Moduli spaces of local G-shtukas (G-SHTUKAS)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Mathematical foundations
Countries involved: Germany,Germany
Call:  (ERC-2011-StG_20101014, 2011)
Start date: 2011-09-01
End date: 2017-02-28
Duration (months): 66.0
Total project cost (EUR): 900000.0
EU funding (EUR): 900000.0
Participants: 2
Project status: CLOSED

This project provides a novel approach to the local Langlands programme via a comprehensive investigation of local G-shtukas and their moduli spaces and the exploitation of their relations to Shimura varieties. Local G-shtukas are generalisations to arbitrary reductive groups of the local analogue of Drinfeld shtukas. They also are the function field counterpart of p-divisible groups. Hence moduli spaces of local G-shtukas are of great interest, in particular for the geometric realisation of local Langlands correspondences. Compared to p-divisible groups local G-shtukas have several advantages. They can be defined and studied for any reductive group, enabling a systematic use of group theoretic methods and promising unified results. Furthermore, their local description by elements of loop groups makes them more accessible than the description of p-divisible groups by Cartier theory or displays. Comparison theorems to p-divisible groups then provide a novel way to insight into their moduli spaces. The research plan of this project is subdivided into three strands which mutually benefit from each other: Firstly we want to understand the representations realised in the cohomology of moduli spaces of local G-shtukas in connection with the geometric local Langlands programme. Secondly, we study the geometry of the moduli spaces and investigate several natural stratifications. Finally, we build the bridge to Shimura varieties. On the one hand we explore the source of new results obtained by transferring methods developed for one of the two sides (Shimura varieties resp. moduli spaces of local G-shtukas) to prove similar assertions for the other. On the other hand we establish closer ties by proving direct comparison theorems.

Keywords: langlands programme,shimura variety,shtuka,moduli space,loop group,arithmetic geometry
PLEASE: Projections, Learning, and Sparsity for Efficient data-processing (PLEASE)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Computer science and informatics
Countries involved: France
Call:  (ERC-2011-StG_20101014, 2011)
Start date: 2012-01-01
End date: 2016-12-31
Duration (months): 60.0
Total project cost (EUR): 1493536.8
EU funding (EUR): 1493536.8
Participants: 1
Project status: CLOSED

Sparse models are at the core of many research domains where the large amount and high-dimensionality of digital data requires concise data descriptions for efficient information processing. A flagship application of sparsity is compressed sensing, which exploits sparsity for data acquisition using limited resources. Besides sparsity, a key pillar of compressed sensing is the use of random low-dimensional projections. The standard principle of general sparse and redundant representations is to rely on overcomplete dictionaries of prototype signals called atoms. The foundational vision of this proposal is that the efficient deployment of sparse models for large-scale data is only possible if supported by a new generation of efficient sparse models, beyond dictionaries, which must encompass computational efficiency as well as the ability to provide sparse and structured data representations. Further, I believe that the true impact of compressed sensing has been to unearth an extremely powerful yet counter-intuitive tool: random projections, which open new avenues in machine learning. I envision applications to data sizes and volumes of collections that cannot be handled by today’s technologies. A particular challenge is to adapt the models to the data by learning from a training corpus. In line with the frontier research on sparse decomposition algorithms, I will focus on obtaining provably good, yet computationally efficient algorithms for learning sparse models from collections of training data, with a geometric insight on the reasons for their success. My research program is expected to impact the whole data processing chain, from the analog level (data acquisition) to high level processing (mining, searching), where sparsity has been identified as a key factor to address the “curse of dimensionality”. Moreover, the theoretical and algorithmic framework I will develop will be directly applied to targeted audiovisual and biomedical applications.

Keywords: signal processing,machine learning,inverse problem,random projection,sparsity,nonconvex optimization,audio applications,biomedical applications
Discovery and Insight with Advanced Models Of Nanoscale Dimensions (DIAMOND)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Physical and Analytical Chemical sciences
Countries involved: Switzerland
Call:  (ERC-2011-StG_20101014, 2011)
Start date: 2011-11-01
End date: 2016-10-31
Duration (months): 60.0
Total project cost (EUR): 1728576.0
EU funding (EUR): 1728576.0
Participants: 1
Project status: CLOSED

Generating knowledge about new materials and obtaining insight in their properties at the nanoscale level are highly relevant to the scientific objectives of the EU. Here, I propose to advance the current state of the art in atomistic modeling of complex systems. I aim at providing and establishing new tools that will allow for the description of large multi-component/multi-phase systems at experimental temperature and pressure with predictive power and controlled error. Generality and ease of use will be key. Building upon my experience, I have identified two clear needs that I will address. One need is a capable implementation, i.e. suitable for large condensed phase systems, of electronic structure theories that go beyond traditional DFT. Powerful linear scaling methods with excess accuracy are essential to validate, on the complex systems themselves, the use of DFT. The second need is an automatic approach for extracting empirical models from raw electronic structure data. Empirical methods are essential to perform simulations that are multiscale in time, space, and accuracy. This automatic approach must be able to generate models beyond the intuition and patience of an individual scientist using advanced optimization methods such as genetic algorithms or neural networks. Models must have a built-in estimate of their quality. The latter feature will allow for enhancing/correcting these empirical approaches automatically with first principles calculations whenever necessary. Massively parallel computing will be the enabling technology. In line with my track record, I will establish these new methods by demonstrating their potential through challenging applications. Example applications will be in diverse fields, including sustainable energy production, catalysis, environment and health. By making these tools freely and openly available to both academia and industry the benefit for the community as a whole will be significant.

Keywords: linear scaling,dft,mp2,rpa,molecular modeling,neural networks,genetic programming,solar cells,oxides,catalysis,interfaces,liquids