Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Advanced Training Environment for Crisis Scenarios. (PANDORA)

Framework: FP7 — Cooperation
Programme: Security
Destination: Security systems integration, interconnectivity and Interoperability
Action type: Collaborative project
Countries involved: United Kingdom,Italy,Slovenia,France,France
Call:  (FP7-ICT-SEC-2007-1, 2007)
Start date: 2010-01-01
End date: 2012-03-31
Duration (months): 27.0
Total project cost (EUR): 3997166.21
EU funding (EUR): 2930000.0
Participants: 9
Project status: CLOSED

Crisis management is a major issue to prevent emergency situations from turning into disasters. In last years a not correct management of emergencies often created critical situations. In the happening of a catastrophic event, it is human behaviour-- and often human behaviour alone--that determines the speed and efficacy of the crisis management efforts. Frequently speed and efficacy do not stem from the ignorance of procedures, but from the difficulty to operate in contexts where consistent damages are occurring, for the difficulty of managing emotional aspects. Training plays an important function to the preparation of the crisis manager. Currently two main modalities for training purpose are two: table top exercise and real world simulation exercise. Table top exercises are low cost and can be easily and frequently organized, but it cannot recreate the real atmosphere, (e.g. stress, confusion) and need to keep critical decisions in very little time. On the other hand, crisis managers trained through simulation exercises on the field can be very effective, but such a simulations are very expensive and cannot be easily and quickly organized. PANDORA will bridge the gap between table-top exercises and real world simulation exercises, providing a near-real training environment at affordable cost. In a real-time, physics-based environment, PANDORA authentically simulates all the dynamic elements of the entire disaster environment. PANDORA will emulate a complete crisis room: realistic 3D visuals and audio create a truly immersive, chaotic and stressful environment. PANDORA realistically responds to actions taken to enable real individual training value and the development of complete skill sets. Pandora will train at all levels of response, from management and control to all the on-scene activities for emergency organizations. Furthermore, different crisis room will be able to interact, thus recreating a near-real interconnected cross-borders environment.

Keywords: training,critical infrastrutures,crisis management,simulation,modelling,interconnection,communication,energy,transport,decision tree,realist environment,behaviour.
PAthways for Carbon Transitions (PACT)

Framework: FP7 — Cooperation
Programme: Socio-economic sciences and Humanities
Destination: Combining economic, social and environmental objectives in a European perspective
Action type: Collaborative project
Countries involved: France,France,Germany,Italy,Sweden,Finland,Hungary,Czechia
Call:  (FP7-SSH-2007-1, 2007)
Start date: 2008-10-01
End date: 2011-09-30
Duration (months): 36.0
Total project cost (EUR): 1801883.2
EU funding (EUR): 1374466.0
Participants: 12
Project status: CLOSED

Most «business-as-usual scenarios» built up till now have shown that hydrocarbon resources scarcity and the growing release of greenhouse gases will bring the world far away from sustainability over the next decades. Then, deep changes in behaviours away from «BAU» are unavoidable long before the turn of the century in a move towards a post-carbon society. Urbanisation and mobility are probably the domains where these changes might be the most important and they will be necessarily driven and limited by socio-economic and cultural forces that will dominate the century. They will induce further deep changes in behaviours of consumers and producers and are likely to deeply impact the use and production of bulk materials, large energy consumers and GHG emitters. To address these challenges, key milestones were defined by the EU : - A 20% reduction (minimum) of CO2 emissions by 2020 (compared to 1990) in Europe - A reduction of the GHG emissions by 2050 and after, so as to limit the increase of the temperature due to climatic change within 2°C. In this framework, the PACT project objective is to provide strategic decision-support information to decision makers to achieve these milestones. It will focus on 3 themes : - What shape the energy demand, and how this should evolve towards post-carbon concept, from the infrastructures viewpoint, in relation to urbanisation and land-use schemes, and that of the life-styles and behaviours, in relation to the available technologies. - The question of urbanisation and land-use from the renewable energy perspective, including that of the systems. - The role of social forces, actors, stakeholders in the transition process. PACT will address these issues in two phases: first, by developing the necessary analytical and conceptual framework, second in attempting to quantify scenarios of post-carbon societies at EU and world level by 2050 and beyond, using enhanced versions of the VLEEM and POLES models.

Keywords: post carbon society,energy,modeling,materials,environment,policies,scenarios,transition,land-use,mobility,stake-holders,climate change,renewables,actors
Strategic Risk Assessment and Contingency Planning in Interconnected Transport Networks (STAR-TRANS)

Framework: FP7 — Cooperation
Programme: Security
Destination: Security systems integration, interconnectivity and Interoperability
Action type: Collaborative project
Countries involved: Luxembourg,Greece,Belgium,United Kingdom,Germany,Cyprus,Italy
Call:  (FP7-ICT-SEC-2007-1, 2007)
Start date: 2009-11-01
End date: 2012-04-30
Duration (months): 30.0
Total project cost (EUR): 3296369.71
EU funding (EUR): 2105588.94
Participants: 11
Project status: CLOSED

STAR-TRANS aspires to develop a holistic risk assessment methodology for Critical Infrastructure and apply it to a wide panel of international transportation infrastructures to analyse and assess common issues for risks, threats and vulnerabilities and identify possible interdependencies assessing the impact of failures on interconnected transportation infrastructures. The successful project outcome will offer important aids for decision-makers to determine priorities among multiple contingency alternatives by evaluating the consequences (cost, timing, resources, etc) of proposed actions. The improvement of the response and management capabilities regarding assessment of incidences / failures in critical transport infrastructures will be achieved through the identification and closure of relevant knowledge gaps and through the development, validation and usage of computational modelling tools. STAR-TRANS aims at developing a modelling formalism in which specification of the structure and associated assets of European transportation networks as well as the specification of the dependency types between the assets of interconnected and interdependent transportation networks is facilitated. This modelling formalism will consider a transportation ‘network of networks’ as consisting of nodes and links. In so doing, tools from network and graph theory and the systems area will be employed. A specialised software system will be developed that will support the end users, and network operators needs. The software tool will provide the technology to link together any relevant assets of interconnected and interdependent transport networks, such that risk managers, policy makers and others can, subsequently, be provided with the impact that a risk incident on an asset of a specific transportation network may have on the assets of other interconnected and interdependent transport networks.

Keywords: transportation risk assessment framework
Learning 4 Security (L4S)

Framework: FP7 — Cooperation
Programme: Security
Destination: Security systems integration, interconnectivity and Interoperability
Action type: Collaborative project
Countries involved: Greece,Austria,France,Germany,Italy,Spain,Germany
Call:  (FP7-ICT-SEC-2007-1, 2007)
Start date: 2009-07-01
End date: 2011-07-31
Duration (months): 25.0
Total project cost (EUR): 3471413.41
EU funding (EUR): 2415768.13
Participants: 11
Project status: CLOSED

Effective collaboration dynamics are at the core of crisis management in the transportation sector. Nevertheless, in today’s global environment, a very large number of crisis management initiatives fail to deliver the value expected, as the collaboration challenges in crisis are very high. This is because of the complexity of the knowledge integration processes as well as the diversity and distributed nature of the people, groups and knowledge involved in the management of crisis under high pressure of time. Thus, effective crisis management requires collaborative crisis management competencies at the individual, team, organizational as well as the inter-organizational level. The project builds on interdisciplinary scientific / academic models and best / worst practices and experiences to identify the factors inhibiting effective collaboration in crisis situations in the transport sector (“Collaboration Traps & Challenges in Crises”), and the interventions required to reduce these risks (“Collaborative Crisis Management Competencies”). After integration, this know-how will lead to the development of: • An innovative framework (Advanced Collaboration in Crisis Management – ACCM-Framework), addressing the effective development of collaboration competencies for the specific challenges of crisis management in the transportation sector. • A set of widely deployable, advanced, interactive and experiential technology-enhanced solutions (“ACCM Simulation Games”) guaranteeing the effective understanding and internalization of collaborative decision making processes (1) under extreme time pressure, (2) facing the lack and asymmetries of information, (3) dealing with the diversity and emotions of people, and (4) effectively addressing the interpersonal dimension of speed-relationship building, trust and role definitions between crisis managers in the transportation industry.

Keywords: learning for security
Vital Infrastructure, networKs, INformation and control systems manaGement (VIKING)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trustworthy network and service infrastructures
Action type: Collaborative project
Countries involved: Germany,Switzerland,Germany,Sweden,United States,Hungary,Sweden
Call:  (FP7-ICT-SEC-2007-1, 2007)
Start date: 2008-11-01
End date: 2011-11-30
Duration (months): 37.0
Total project cost (EUR): 2633479.0
EU funding (EUR): 1824950.0
Participants: 7
Project status: CLOSED

Society is increasingly dependent on the proper functioning of the electric power system, which in turn supports most other critical infrastructures: water and sewage systems; telecommunications, internet and computing services; air traffic, railroads and other transportation. Many of these other infrastructures are able to operate without power for shorter periods of time, but larger power outages may be difficult and time consuming to restore. Such outages might thus lead to situations of fully non-functioning societies with devastating economical and humanitarian consequences. For this reason, this consortium has decided to concentrate its research to the systems for transmission and distribution of electric power. We anticipate that most of the results will be applicable to the protection of other critical infrastructures. The operation and management of the electric power system depend on computerized industrial control systems. Keeping these systems secure and resilient to external attacks as well as to internal operational errors is thus vital for uninterrupted service. However, this is challenging since the control systems are extremely complex. Yet, the systems are operating under stringent requirements on availability and performance: If control and supervision are not done in real-time, the power network may come to a collapse. The objective of the project is to develop, test and evaluate methodologies for the analysis, design and operation of resilient and secure industrial control systems for critical infrastructures. Methodologies will be developed with a particular focus on increased robustness of the control system. As mentioned, the focus is on power transmission and distribution networks. The project combines a holistic management perspective—in order to counteract sub-optimization in the design—with in-depth analysis and development of security solutions adapted to the specific requirements of networked control systems.

Keywords: scada systems,information security,critical infrastructure,resilience,electric power system
Support to the Chair of the ERC Scientific Council 2008 (ERCSC-CHAIR-SUP 2008)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: MSCA other
Action type: Coordination and support actions
Countries involved: United Kingdom,France,Austria
Call:  (FP7-Adhoc-2007-13, 2007)
Start date: 2008-01-01
End date: 2008-12-31
Duration (months): 12.0
Total project cost (EUR): 217822.9
EU funding (EUR): 217822.9
Participants: 3
Project status: CLOSED

The proposed project aims to support the ScC Chair in the efficient and timely achievement of the ScC’s objectives in 2008. It will support and assist Professor F.C. Kafatos, Chair of the ERC’s ScC, in his diverse responsibilities which include the achievement of efficient and effective functioning of the ScC, its integrated operation together with the ERC’s Dedicated Implementation Structure (DIS), and effective interfacing with the scientific community, other funding agencies and the political institutions of the European Union. The project will provide administrative and research support ranging from secretarial tasks to assistance in developing policy papers related to the work of the Chair of the ERC Scientific Council for a period of one year. The potential impact of the project will be to ensure an efficient and well-managed operation of the ERC ScC. By providing high level local support for the EcC Chairman who is based at Imperial College London, the project will complement the activities of and allow efficient interfacing with the DIS. Overall, the project is expected to contribute significantly to the implementation of the Ideas specific programme. This proposal is one of three linked proposals, providing support to the Chair and Vice- Chairs of the European Research Council Scientific Council (ERC ScC). The proposals are linked by means of common sections in their description of work and shared deliverables. The proposed project will be a continuation of ongoing project “Support to the Chair of the ERC Scientific Council 2006 – 2007” Contract No. 044505 (ERCSC-CHAIR-SUP).

Keywords: administrative help,support to the chair of erc
Use of Foresight to Align Research with Longer Term Policy Needs in Europe (FARHORIZON)

Framework: FP7 — Cooperation
Programme: Socio-economic sciences and Humanities
Destination: Foresight activities
Action type: Collaborative project
Countries involved: United Kingdom,Austria,Malta,Netherlands
Call:  (FP7-SSH-2007-1, 2007)
Start date: 2008-09-01
End date: 2011-02-28
Duration (months): 30.0
Total project cost (EUR): 282532.0
EU funding (EUR): 217874.0
Participants: 4
Project status: CLOSED

The aim of this project is to pilot the use of foresight to align strategic and applied research with longer-term policy needs in Europe. It addresses a perceived gap in alignment under present arrangements and also argues that to develop, the European system needs a more content-oriented approach. It seeks to advance knowledge on: 1) Differences across policy domains in the European Research and Innovation Ecosystem (also further articulating this concept) in terms of the role and the integration of research agendas in long-term policies and vice-versa; and 2) Appropriate foresight designs needed to get engagement and secure follow-up across policy domains/areas. The project seeks to produce immediately useful results by selecting areas and participants with a view to stimulating action. Four areas with different sectoral characteristics will be selected with the advice of an independent panel to ensure that the pilot covers a range of circumstances. Success scenario workshops will be used to engage policymakers and those responsible for research. The methodology involves consideration of key drivers and wildcards to produce a vision of success, This is compared with the ability of the research and innovation ecosystem in the area to deliver and a roadmap for change is produced. A policy conference will be used to consider the outcomes and to disseminate the approach to other policy domains.

Keywords: foresight policy research ecosystem success scenario
European Security Research Conference - SRC 08 (SRC 08)

Framework: FP7 — Cooperation
Programme: Security
Destination: Security
Action type: Coordination and support actions
Countries involved: France
Call:  (FP7-Adhoc-2007-13, 2007)
Start date: 2008-09-15
End date: 2008-12-14
Duration (months): 3.0
Total project cost (EUR): 700000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

The French presidency is hosting the European Security Research Conference - SRC 08. The conference will take place in Paris on 29 and 30 September 2008 and will allow the participation of about 1000 - 1200 people.

Keywords: security research,conference,french presidency
Sparse Models, Algorithms, and Learning for Large Scale Data (SMALL)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Future and emerging technologies
Action type: Collaborative project
Countries involved: France,United Kingdom,United Kingdom,Switzerland,Israel
Call:  (FP7-ICT-2007-C, 2007)
Start date: 2009-02-01
End date: 2012-07-31
Duration (months): 42.0
Total project cost (EUR): 2523139.0
EU funding (EUR): 1919167.0
Participants: 5
Project status: CLOSED

SMALL will develop a new foundational framework for processing signals, using adaptive sparse structured representations.A key discriminating feature of sparse representations, which opened up the horizons to new ways of thinking in signal processing including compressed sensing, has been the focus on developing reliable algorithms with provable performance and bounded complexity. Yet, such approaches are simply inapplicable in many scenarios for which no suitable sparse model is known. Moreover, the success of sparse models heavily depends on the choice of a "dictionary" to reflect the natural structures of a class of data, but choosing a dictionary is currently something of an "art", using expert knowledge rather than automatically applicable principles. Inferring a dictionary from training data is key to the extension of sparse models for new exotic types of data.SMALL will explore new generations of provably good methods to obtain inherently data-driven sparse models, able to cope with large-scale and complicated data much beyond state-of-the-art sparse signal modelling. The project will develop a foundational theoretical framework for the dictionary-learning problem, and scalable algorithms for the training of structured dictionaries. SMALL algorithms will be evaluated against state-of-the art alternatives and we will demonstrate our approach on a range of showcase applications. We will organise two open workshops to disseminate our results and get feedback from the research community.The proposed framework will deeply impact the research landscape since the new models, approaches and algorithms will be generically applicable to a wide variety of signal processing problems, including acquisition, enhancement, manipulation, interpretation and coding. This new line of attack will lead to many new theoretical and practical challenges, with a potential to reshape both the signal processing research community and the burgeoning compressed sensing industry.

Keywords: signal processing,applied mathematics,inverse problems,compressed sensing,sparse models,dictionary learning
Visual Analytics - Mastering the Information Age (VISMASTER CA)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Future and emerging technologies
Action type: Coordination and support actions
Countries involved: Germany,Germany,Norway,Netherlands,Finland,United Kingdom,Germany,Italy,Austria,France,France,Netherlands,Austria,Greece,United Kingdom,Germany,Sweden,Switzerland,Germany,Netherlands,Luxembourg
Call:  (FP7-ICT-2007-C, 2007)
Start date: 2008-08-01
End date: 2010-09-30
Duration (months): 26.0
Total project cost (EUR): 797382.0
EU funding (EUR): 535303.0
Participants: 28
Project status: CLOSED

One of the most important challenges of the emerging Information Age is to effectively utilise the immense wealth of information and data acquired, computed and stored by modern information systems. On the one hand, the appropriate use of available information volumes offers large potential to realize technological progress and business success. On the other hand, there exists the severe danger that users and analysts easily get lost in irrelevant, or inappropriately processed or presented information, a problem which is generally called the information overload problem. Visual Analytics is an emerging research discipline developing technology to make the best possible use of huge information loads in a wide variety of applications. The basic idea is to appropriately combine the strengths of intelligent automatic data analysis with the visual perception and analysis capabilities of the human user. We propose a Coordination Action to join European academic and industrial RandD excellence from several individual disciplines, forming a strong Visual Analytics research community. An array of thematic working groups set up by this consortium will focus on advancing the state of the art in Visual Analytics. Specifically, the working groups will join excellence in the fields of data management, data analysis, spatial-temporal data, and human visual perception research with the wider visualisation research community. This Coordination Action will (1.) form and shape a strong European Visual Analytics community, (2.) define the European Visual Analytics Research Roadmap, (3.) expose public and private stakeholders to Visual Analytics technology and (4.) set the stage for larger follow-up Visual Analytics research initiatives in Europe.

Keywords: visual analytics,interdisciplinary community building,roadmap definition