The Experts below are selected from a list of 42 Experts worldwide ranked by ideXlab platform
Graham Tanner - One of the best experts on this subject based on the ideXlab platform.
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Domino D6.1 - Dissemination plan and project visual identity
2018Co-Authors: H. Ureta, I. Gómez, Graham Tanner, Luis Delgado, L. Guichard, Tatjana Bolic, Fabrizio Lillo, Andrew J. CookAbstract:The purpose of this Document, Deliverable 6.1, is to describe the dissemination plan, dissemination policy and initial dissemination products of the SESAR 2020 Exploratory Research action Domino, taking into account its specifications and the target audience. The following pages Document the corresponding tasks involved in D6.1.
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DATASET2050 D2.1 - Data Requirements and Acquisition
2016Co-Authors: Andrew J. Cook, Graham TannerAbstract:The purpose of this Document, Deliverable 2.1, is to describe the sources of data required by the H2020 coordination and support action DATASET2050. Data requirements have been categorised into seven broad groups to support WP3 and WP4: demographic; passenger demand; passenger type; door-to-kerb; kerb-to-gate; airside capacity and competing services. The current scenario is well supported by existing datasets, however the two future scenarios require modelled data.
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DATASET2050 D4.2 - Future supply profile
2016Co-Authors: Graham Tanner, H. Ureta, Luis Delgado, Andrew J. Cook, Gérald Gurtner, Anne Graham, S. Cristobal, A. Paul, U. Kluge, P. MennigAbstract:The purpose of this Document, Deliverable 4.2, is to describe the future supply profile of EU mobility in the context of air transport. This includes, but is not restricted to, the evolution of the different travel services detailed in earlier DATASET2050 tasks and their corresponding trade-offs. This Deliverable and associated tasks feed the model quantitatively and qualitatively via WP5, representing a key milestone for the DATASET2050 model.
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DATASET2050 D2.2 - Data-driven Model
2016Co-Authors: Andrew J. Cook, Graham TannerAbstract:The purpose of this Document, Deliverable 2.2, is to build the structure and specifications of the DATASET2050 data driven model. The door-to-door process is complex and therefore direct performance measurement of the process cannot be done due to availability of data and the high number of involved stakeholders. There are additional phenomena that cannot be measured, so the approach to assess performance is by collecting sample data and/or model the different elements of the mobility processes. This modelling exercise, Documented in D2.2, is a powerful tool that assesses how the process performs in the current scenario, and beyond that, identify bottlenecks how modelling paradigms can be improved to take Europe to the 4-hour door-to-door target. The model utilises data that has been sourced, analysed and Documented thus far (D2.1), as well as the numerous inputs from the demand and supply profiles (WP3 and WP4, namely: D3.1 and D4.1). This Deliverable Documents how the model is to be built, along with its scope and the development strategy.
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DATASET2050 D4.1 - Current Supply Profile
2016Co-Authors: Andrew J. Cook, Graham TannerAbstract:The purpose of this Document, Deliverable 4.1, is to describe the Current Supply Profile for its further use in different threads by the DATASET2050 Horizon 2020 coordination and support action. This Deliverable comprises the work conducted in order to define and list the door-to-door mobility supply components, as described in task 4.1. It presents the baseline supply situation with respect to current door-to-door trips within Europe, including an assessment, identification and mode of the mobility services currently available in Europe (airport access/egress times, airport processes times etc.) All the above will allow the DATASET2050 project partners to determine the time required to undertake the current processes involved from leaving the place of origin (the "Door") to the point of arrival at the airport (the "Kerb"), from the Kerb to the moment the passenger has had their boarding card scanned immediately prior to embarkation (the "Gate"). The same approach is used for the Gate-to-Gate processes (including connecting flights and the transfer process), and finally Gate-to-Kerb and Kerb-to-Door. The inherent asymmetries of what are, in principle, symmetric processes have been assessed (e.g.: Door-to-Kerb vs. Kerb-to-Door). D4.1 directly feeds the supply side of the mobility model that will be run in WP5 of DATASET2050.
Andrew J. Cook - One of the best experts on this subject based on the ideXlab platform.
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Domino D6.1 - Dissemination plan and project visual identity
2018Co-Authors: H. Ureta, I. Gómez, Graham Tanner, Luis Delgado, L. Guichard, Tatjana Bolic, Fabrizio Lillo, Andrew J. CookAbstract:The purpose of this Document, Deliverable 6.1, is to describe the dissemination plan, dissemination policy and initial dissemination products of the SESAR 2020 Exploratory Research action Domino, taking into account its specifications and the target audience. The following pages Document the corresponding tasks involved in D6.1.
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DATASET2050 D2.1 - Data Requirements and Acquisition
2016Co-Authors: Andrew J. Cook, Graham TannerAbstract:The purpose of this Document, Deliverable 2.1, is to describe the sources of data required by the H2020 coordination and support action DATASET2050. Data requirements have been categorised into seven broad groups to support WP3 and WP4: demographic; passenger demand; passenger type; door-to-kerb; kerb-to-gate; airside capacity and competing services. The current scenario is well supported by existing datasets, however the two future scenarios require modelled data.
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DATASET2050 D4.2 - Future supply profile
2016Co-Authors: Graham Tanner, H. Ureta, Luis Delgado, Andrew J. Cook, Gérald Gurtner, Anne Graham, S. Cristobal, A. Paul, U. Kluge, P. MennigAbstract:The purpose of this Document, Deliverable 4.2, is to describe the future supply profile of EU mobility in the context of air transport. This includes, but is not restricted to, the evolution of the different travel services detailed in earlier DATASET2050 tasks and their corresponding trade-offs. This Deliverable and associated tasks feed the model quantitatively and qualitatively via WP5, representing a key milestone for the DATASET2050 model.
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DATASET2050 D2.2 - Data-driven Model
2016Co-Authors: Andrew J. Cook, Graham TannerAbstract:The purpose of this Document, Deliverable 2.2, is to build the structure and specifications of the DATASET2050 data driven model. The door-to-door process is complex and therefore direct performance measurement of the process cannot be done due to availability of data and the high number of involved stakeholders. There are additional phenomena that cannot be measured, so the approach to assess performance is by collecting sample data and/or model the different elements of the mobility processes. This modelling exercise, Documented in D2.2, is a powerful tool that assesses how the process performs in the current scenario, and beyond that, identify bottlenecks how modelling paradigms can be improved to take Europe to the 4-hour door-to-door target. The model utilises data that has been sourced, analysed and Documented thus far (D2.1), as well as the numerous inputs from the demand and supply profiles (WP3 and WP4, namely: D3.1 and D4.1). This Deliverable Documents how the model is to be built, along with its scope and the development strategy.
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DATASET2050 D4.1 - Current Supply Profile
2016Co-Authors: Andrew J. Cook, Graham TannerAbstract:The purpose of this Document, Deliverable 4.1, is to describe the Current Supply Profile for its further use in different threads by the DATASET2050 Horizon 2020 coordination and support action. This Deliverable comprises the work conducted in order to define and list the door-to-door mobility supply components, as described in task 4.1. It presents the baseline supply situation with respect to current door-to-door trips within Europe, including an assessment, identification and mode of the mobility services currently available in Europe (airport access/egress times, airport processes times etc.) All the above will allow the DATASET2050 project partners to determine the time required to undertake the current processes involved from leaving the place of origin (the "Door") to the point of arrival at the airport (the "Kerb"), from the Kerb to the moment the passenger has had their boarding card scanned immediately prior to embarkation (the "Gate"). The same approach is used for the Gate-to-Gate processes (including connecting flights and the transfer process), and finally Gate-to-Kerb and Kerb-to-Door. The inherent asymmetries of what are, in principle, symmetric processes have been assessed (e.g.: Door-to-Kerb vs. Kerb-to-Door). D4.1 directly feeds the supply side of the mobility model that will be run in WP5 of DATASET2050.
Eleftheria Tsourlidaki - One of the best experts on this subject based on the ideXlab platform.
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Go-Lab Deliverable D6.6 Go-Lab user communities support framework and guidelines
2015Co-Authors: Fani Stylianidou, Eleftheria TsourlidakiAbstract:This Document (Deliverable D6.6) aims to be the teacher help guide which will accompany and a classroom scenario handbook (Deliverable D1.5) on how to incorporate Go-Lab into the classroom, as is foreseen in the Go-Lab’s Description of Work. It is the outcome of Task 6.5. ‘Go-Lab Users Guidelines (Guidelines and Supporting Materials for Teachers)’ and accordingly aims to: • provide easy step-by-step guides for the use of the Go-Lab Portal and its main components; • present the philosophy of the search mechanism and the main characteristics of the Go-Lab inventory of online labs; • provide an easy step-by-step guide of how teachers can build their own Inquiry Learning Spaces (ILSs) to use in the science classroom; • provide an a step-by-step guide for how teachers can access online support by expert and peer communities The Document will be available in conventional and electronic format (through the project’s web site). It will be translated in 12 languages (English, French, German, Greek, Dutch, Spanish, Portuguese, Estonian, Bulgarian, Romanian, Italian, and Polish).
Simon Pinnock - One of the best experts on this subject based on the ideXlab platform.
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ESA Globsnow: Algorithm Theoretical Basis Document - SWE-algorithm
2013Co-Authors: Kari Luojus, Jouni Pullianinen, Matias Takala, Juha Lemmetyinen, Mwaba Kangwa, Tuomo Smolander, Chris Derksen, Simon PinnockAbstract:Snow Water Equivalent (SWE) Algorithm Theoretical Basis Document; Deliverable 06 for the European Space Agency Global Snow Monitoring for Climate Research (GlobSnow) project. The purpose of the Document is to give a detailed description of the algorithms used for generating the GlobSnow Snow Water Equivalent (SWE) product. This Document presents the algorithm used for producing the diagnostic data set (DDS) of SWE for the GlobSnow-2 project.
P. Mennig - One of the best experts on this subject based on the ideXlab platform.
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DATASET2050 D4.2 - Future supply profile
2016Co-Authors: Graham Tanner, H. Ureta, Luis Delgado, Andrew J. Cook, Gérald Gurtner, Anne Graham, S. Cristobal, A. Paul, U. Kluge, P. MennigAbstract:The purpose of this Document, Deliverable 4.2, is to describe the future supply profile of EU mobility in the context of air transport. This includes, but is not restricted to, the evolution of the different travel services detailed in earlier DATASET2050 tasks and their corresponding trade-offs. This Deliverable and associated tasks feed the model quantitatively and qualitatively via WP5, representing a key milestone for the DATASET2050 model.