Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Redefining the term 'Incubation Period' using large-scale digital data (DCUBATION)

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: Israel
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2020-11-01
End date: 2025-10-31
Duration (months): 60.0
Total project cost (EUR): 1986875.0
EU funding (EUR): 1986875.0
Participants: 1
Project status: SIGNED

Infectious diseases pose one of the greatest risks for a global catastrophe. Just like controlling the spread of wildfires, an early detection of infectious diseases is instrumental to containing outbreaks. Nearly all infections start silently, and gradually progress until clinical symptoms appear. In this silent period, the incubation period (IP), pathogens inhibit major pathways of the innate immune system, allowing an extended period of unhindered replication. The rate of replication, as well as the type and length of suppressed symptoms vary considerably between pathogens, creating a unique signature for each pathogen. Thus, improved understanding of the IP is pivotal for early detection, prevention and control of infectious diseases. Previous studies estimating IPs have used aggregated retrospective data, and are subject to the biases of patient self-reporting. I hypothesise that the actual onset of clinical symptoms occurs earlier than previously known, can be identified more accurately, and can be used in real-time for patient empowerment. Focusing on respiratory infections, my methodological approach includes: 1) real-time evaluation of the prior risk for respiratory infections by integrating transmission models with individual-level data from electronic medical records of 4.5 Million individuals, 2) identification of micro-changes in patients’ behaviour during the early phase of an infection by prospectively analysing digital sensory data from wearable devices and mobile phones of 5000 selected participants, 3) early detection of the causing pathogen validated with self-swab kits that are tested using RT-PCR. Our preliminary work that combined an analysis of EMR and transmission modelling led to a change in public health policy in Israel. The proposed study has the potential to open new research directions on the hidden side of infectious diseases and to initiate a new era of personalized medicine through dramatic changes in patient-doctor interaction.

Keywords: infectious disease modeling,incubation period,influenza,computational social science,transmission models,interface of epidemiology
Empowerment of marginalized convicted women through social enterprises (EmpowerMarginalized)

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: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-02-18
End date: 2023-02-18
Duration (months): 24.0
Total project cost (EUR): 170121.6
EU funding (EUR): 170121.6
Participants: 1
Project status: CLOSED

The European Union recently recognized “The empowerment of marginalized individuals” as one of the most relevant topics in modern societies. In its formal EU 2020 Strategy documents, the European Union listed “poverty, social exclusion and marginalization” as one of its main “Targets” and “inclusive growth” as one of its major “Priorities”. In 2011, the EU Commission adopted the Social Business Initiative (SBI), with the aim to promote the social enterprise as one of the most promising forms of entrepreneurial venture capable of dealing with this societal issue and fostering “inclusive growth”. However, the mechanisms by which the social enterprise may successfully allow the empowerment of marginalized individuals by economic driven solutions are not clear yet, and there is a lack of empirical works able to provide fine- grained/ micro-level evidences on this topic. Given these premises, I will commit this MSCA-IF research project to exploring the empowerment of convicted women, one of the most extremely marginalized category of individuals, using the perspective of social enterprise. I believe that a micro-level study of a successful case of social enterprises could reveal the critical factors behind the success or failure of these important initiatives, and from there, how they should be implemented. I will finally address two main research objectives: 1) to investigate the micro-processes enacted by social enterprises, which successfully allow the empowerment of one of the most marginalized category of people: convicted women; 2) to compare the micro-processes enacted by social enterprises, which, in extreme cases of marginalization, allow them a) to bridge closed context of marginalization and the external environment, and b) to bridge the social and economic dimension. Critical aspects of the project are: 1) its multidisciplinary nature and 2) the gender (women empowerment) related topic 3) extreme level of marginalization of convicted women.

Keywords: social entrepreneurship,empowerment,convicts,women,marginalization,marginalized individuals,social integration
Individual differences in human gaze behaviour and the visual system (INDIVISUAL)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Germany
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-01-01
End date: 2024-12-31
Duration (months): 60.0
Total project cost (EUR): 1499686.0
EU funding (EUR): 1499686.0
Participants: 1
Project status: SIGNED

Does visual perception vary between people? This question has fascinated philosophers for millennia, but largely evaded empirical vision science. Recent findings show that eye-movements towards complex, everyday scenes are drawn to important objects, like faces, but the attentional ‘pull’ of different objects reliably varies between people. We do not yet understand the causes and perceptual consequences of these individual salience biases. Understanding their basis in the individual brain has the potential to reveal general mechanisms of attentional selection. Uncovering their distribution in the general population is key to evaluate their potential as a biomarker. We propose three sets of experiments to achieve these goals. First, we will use psychophysics, virtual reality and mobile eye tracking to probe which visual features are driving individual salience biases and how they affect task-driven and real-world behaviour. Second, we aim to understand the neural mechanisms of attentional selection. It is unclear how the brain selects peripheral targets based on semantic attributes, which are thought to be processed by foveal pathways. We will exploit individual differences and the latest developments in brain imaging to juxtapose competing hypotheses and test the relation of salience biases to fine-scale functional neuroanatomy and connectivity. Third, we will evaluate the diagnostic potential of salience biases. We will record the gaze of thousands of individuals in a public setting to establish a norm sample of free viewing in the general population and compare observers with autism spectrum disorder and schizophrenia to this norm. This project will establish how and why natural gaze behaviour and perception vary between people. It will harness individual differences to uncover the general mechanisms that guide our eyes through the visual world. A norm sample of salience biases will lay the foundation to evaluate their use in clinical and applied settings.

Keywords: eye movements,salience,individual differences,attention,visual system,ventral stream,biomarker
INtegrating Functional Assessment measures for Neonatal Safeguard (INFANS)

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: Iceland,Italy,Germany,Germany,Belgium,Finland,Netherlands,Netherlands,Netherlands
Call: Innovative Training Networks (H2020-MSCA-ITN-2018, 2018)
Start date: 2019-01-01
End date: 2023-12-31
Duration (months): 60.0
Total project cost (EUR): 3950394.84
EU funding (EUR): 3950394.84
Participants: 10
Project status: SIGNED

INFANS will train 15 ESRs with background from basic to clinical sciences in multiple aspects of neonatal brain monitoring. The need for a coordinated research training programme in neonatal brain monitoring arises from i) the severe shortage of clinically viable means to high quality monitor the brain function in infancy, crucial to prevent later life neurological, cognitive and motor impairment and ii) the lack of well-educated PhDs in this field. Through their individual research projects, encompassing technological innovation, industrial development, clinical validation, identification of neonatal healthcare needs, the INFANS ESRs will develop a novel platform for high quality, clinically-viable EEG-NIRS monitoring accessible worldwide. Excellent science, industrial leadership and societal challenge are merged in INFANS: 6 academic and 4 non-academic partner from 6 EU countries, among which leading universities, industries, clinical institutions, share complementary expertise and facilities to provide international, interdisciplinary and intersectoral research training and mobility that will complement local doctoral training. Well-targeted visits and secondments, soft skills and dynamic training activities, an Open Science strategy, extensive involvement of ESRs in the network events organization, extensive contacts with other research, training and industrial European networks, dissemination activities and the award of Double doctoral degrees are further assets of INFANS. The ESRs will learn to transform a scientific/technological challenge into a product of socio-economic relevance, as the INFANS functional neuro-monitoring system will reduce the number of children with neurological, cognitive or motor dysfunctions associated with brain injuries at birth. The INFANS ESRs will become independent researchers with career prospects in both the academic and non-academic sectors, and will advance the EU capacity for innovation in biomedical engineering.

Keywords: electroencephalography,near infrared spectroscopy,neonatal neuroscience,neonatal,neurophysiology
Algorithmic and Mathematical Cryptology (AlmaCrypt)

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: Germany,France,France
Call: ERC Advanced Grant (ERC-2014-ADG, 2014)
Start date: 2016-01-01
End date: 2022-06-30
Duration (months): 78.0
Total project cost (EUR): 2403125.0
EU funding (EUR): 1024775.0
Participants: 6
Project status: SIGNED

Cryptology is a foundation of information security in the digital world. Today's internet is protected by a form of cryptography based on complexity theoretic hardness assumptions. Ideally, they should be strong to ensure security and versatile to offer a wide range of functionalities and allow efficient implementations. However, these assumptions are largely untested and internet security could be built on sand. The main ambition of Almacrypt is to remedy this issue by challenging the assumptions through an advanced algorithmic analysis. In particular, this proposal questions the two pillars of public-key encryption: factoring and discrete logarithms. Recently, the PI contributed to show that in some cases, the discrete logarithm problem is considerably weaker than previously assumed. A main objective is to ponder the security of other cases of the discrete logarithm problem, including elliptic curves, and of factoring. We will study the generalization of the recent techniques and search for new algorithmic options with comparable or better efficiency. We will also study hardness assumptions based on codes and subset-sum, two candidates for post-quantum cryptography. We will consider the applicability of recent algorithmic and mathematical techniques to the resolution of the corresponding putative hard problems, refine the analysis of the algorithms and design new algorithm tools. Cryptology is not limited to the above assumptions: other hard problems have been proposed to aim at post-quantum security and/or to offer extra functionalities. Should the security of these other assumptions become critical, they would be added to Almacrypt's scope. They could also serve to demonstrate other applications of our algorithmic progress. In addition to its scientific goal, Almacrypt also aims at seeding a strengthened research community dedicated to algorithmic and mathematical cryptology. --
Fog Computing for Robotics and Industrial Automation (FORA)

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: Austria,Germany,Germany,Sweden,Sweden,United States,Denmark,Denmark
Call: Innovative Training Networks (H2020-MSCA-ITN-2017, 2017)
Start date: 2017-10-01
End date: 2021-09-30
Duration (months): 48.0
Total project cost (EUR): 4000793.4
EU funding (EUR): 4000793.4000000004
Participants: 14
Project status: CLOSED

We are at the beginning of a new industrial revolution (Industry 4.0): disruptive technologies such as cyber-physical systems, machine-to-machine communication, Big Data and machine learning, and human-robot collaboration will transform the manufacturing and industrial automation sectors. However, Industry 4.0 will only become a reality through the convergence of Operational and Information Technologies (OT & IT). The European Parliament, says that “a very wide range of skills is required for [Industry 4.0] implementation. […] the convergence of IT, manufacturing, automation technology and software requires the development of a fundamentally new approach to training IT experts.” The FORA interdisciplinary, international, intersectoral network will train the next generation of researchers to lead this convergence and cross the IT-OT gap. The convergence will be achieved through the new concept of Fog Computing, which is a logical extension from Cloud Computing towards the edge of the network (where machines are located), enabling applications that demand guarantees in safety, security, and real-time behavior. Research objectives focus on: a reference system architecture for Fog Computing; resource management mechanisms and middleware for deploying mixed-criticality applications in the Fog; safety and security assurance; service-oriented application modeling and real-time machine learning. Our ambitious objectives require individuals with a unique combination of interdisciplinary and intersectoral skills. Thus, FORA’s 15 ESRs will receive integrated training across key areas (computer science, electrical engineering, control engineering, industrial automation, applied mathematics and data science) necessary to fully realize the potential of Fog Computing for Industry 4.0 and will move between academic and industrial environments to promote interdisciplinary and intersectoral learning.

Keywords: cyber physical systems,cyber physical production systems,fog computing,real time systems,resource management,scheduling,hypervisors,industrial ethernet
Audio Commons: An Ecosystem for Creative Reuse of Audio Content (AudioCommons)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Israel,Spain,France,United Kingdom,United Kingdom,Luxembourg
Call: Technologies for creative industries, social media and convergence (H2020-ICT-2015, 2015)
Start date: 2016-02-01
End date: 2019-01-31
Duration (months): 36.0
Total project cost (EUR): 2979055.0
EU funding (EUR): 2979055.0
Participants: 6
Project status: CLOSED

The democratisation of multimedia content creation has changed the way in which multimedia content is created, shared and (re)used all over the world, yielding significant amounts of user-generated multimedia resources, big part shared under open licenses. At the same time, creative industries need to reduce production costs in order to remain competitive. There is, therefore, an opportunity for creative industries to incorporate such content in their productions, but there is a lack of technologies for easily accessing and incorporating that type content in their creative workflows. In the particular case of sound and music, a huge amount of audio material like sound samples, soundscapes and music pieces, is available and released under Creative Commons licenses, both coming from amateur and professional content creators. We refer to this content as the 'Audio Commons'. However, there exist no practical ways in which Audio Commons can be embedded in the production workflows of the creative industries, and licensing issues are not easily handled across the production chain. As a result, most of this content remains unused in professional environments. The aim of this project is to create an ecosystem of content, technologies and tools to bring the Audio Commons to the creative industries, enabling creation, access, retrieval and reuse of Creative Commons audio content in innovative ways that fit the requirements of the use cases considered (e.g., audiovisual, music and video games production). Furthermore, we tackle rights management challenges derived from the content reuse enabled by the created ecosystem and research about emerging business models that can arise form it. Our project will benefit creative industries by providing new and innovative creativity supporting tools and reducing production costs, and will benefit content creators by offering a channel to expose their works to professional environments and to allow them to (re)licence their content.

Keywords: creative industries,creative commons,content creation,content retrieval,content reuse,audio,music,creation workflows,living content repositories,digital business models,content re licensing
A Framework for Pairing Circular Economy and IoT: IoT as an enabler of the Circular Economy circularity-by-design as an enabler for IoT (CE-IoT) (CE-IOT)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Economic Sciences
Countries involved: Cyprus,Belgium,Poland,Greece,France,United Kingdom
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2017, 2017)
Start date: 2018-07-01
End date: 2024-04-30
Duration (months): 70.0
Total project cost (EUR): 1692000.0
EU funding (EUR): 1692000.0
Participants: 10
Project status: SIGNED

The overall aim of CE-IoT is to develop an innovative framework of interplay between Circular Economy and IoT, to explore novel ways in which this interaction can drastically change the nature of products, services, business models and ecosystems. The CE-IoT framework will be bi-dimensional and bi-directional in terms of circularity, aiming to develop (i) novel circular economy business models and service supply chains to unlock CE-IoT synergies in order to generate direct value for customers/end-users and augmenting resource productivity across economies by forming new ecosystems that eliminate both negative externalities and the need for considerable resources altogether, and (ii) open, circular-by-design IoT architecture, where “smart” IoT objects (e.g., sensors, devices, systems and components) are integrated in the IoT ecosystem through patterns with proven key circularity-enabling properties (scalable connectivity, end-to-end security/privacy, dependability and interoperability) to maximize IoT resource and data harvesting in a new breed of circular-by-design IoT ecosystems. To achieve its overall aim, CE-IoT will undertake research and innovation activities to (i) establish a comprehensive framework with IoT as a key enabling and facilitating technology of the circular economy from a business perspective based on circular economy design patterns, (ii) to develop an open modular, circular-by-design IoT architecture based on IoT architectural design patterns and (iii) to integrate an overarching pattern-driven CE-IoT framework covering both business and technical aspects. CE-IoT will carry out comprehensive evaluation of the CE-IoT framework covering business, technical and legal aspects through two demonstrators in the domains of telecommunication and cloud services and will create conditions for effectuating circular economy principles through seamless integration with IoT technology and to broaden the use of the CE-IoT framework.

Keywords: circular economy,innovation management,sustainable development,business modeling,supply chains,internet of things,software defined networks,cloud computing,security and privacy