Documents published in Scipedia

• FIBRE4YARDS_MARTECH2022_Presentation_WP2_INEGI_20220525

  R. Pereira

  This presentation was made on the 25th of May 2022 at the 6th International Conference on Maritime Technology and Engineering (MARTECH).

  
  

  Abstract

  The main objective of the FIBRE4YARDS project is to maintain European global leadership in ship building and ship maintenance, through implementation of the Shipyard 4.0 concept in which advanced and innovative FRP manufacturing technologies are successfully introduced. This project has received funding from European Union's Horizon 2020 research and innovation programme under grant agreement N° 101006860.

  Abstract
  The main objective of the FIBRE4YARDS project is to maintain European global leadership in ship building and ship maintenance, through implementation of the Shipyard 4.0 concept [...]

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• FIBRE4YARDS_MARTECH2022_Presentation_Project_Overview_CIMNE_20220525

  X. Martinez, D. Sá, J. Silva, S. Álvarez-Buylla

  This presentation was made on the 25th of May 2022 at the 6th International Conference on Maritime Technology and Engineering (MARTECH).

  
  

  Abstract

  The main objective of the FIBRE4YARDS project is to maintain European global leadership in ship building and ship maintenance, through implementation of the Shipyard 4.0 concept in which advanced and innovative FRP manufacturing technologies are successfully introduced. This project has received funding from European Union's Horizon 2020 research and innovation programme under grant agreement N° 101006860.

  Abstract
  The main objective of the FIBRE4YARDS project is to maintain European global leadership in ship building and ship maintenance, through implementation of the Shipyard 4.0 concept [...]

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• D6.2 (WP6): Report on monitoring the project developments

  E. Sanz, B. Haidar, P. Alonso

  prodPhD OA (2022). 11

  
  

  Abstract

  Deliverable D6.2, ‘Report on monitoring the project developments’, aims to monitor the mid-term progress of the prodPhD project. This deliverable monitors the Key Performance Indicators (KPIs) of the actions in each work package of the project and provides an overall assessment of the results of each pilot action. KPI monitoring was based on the descriptive and evaluative operationalization of the KPIs in D6.1. However, the KPIs were initially not assigned specifically to individual work packages; the monitoring was therefore divided into two dimensions. First, the individual work packages were monitored in terms of ‘overall assessment’, where the partners reported the objectives of the work package, partners involved, discrepancies between intended and actual impact, modifications of plan, and progress plan. Second, the KPIs corresponding to each work package were monitored by the leader of each work package in line with their operationalization in D6.1. This mid-term monitoring of the progress of the prodPhD project shows that the implemented activities thus far meet their corresponding KPIs. In addition, this deliverable also provides an overall assessment of each Work Package (WP). Both the KPI monitoring and the overall assessment of each WP show the activities completed thus far meet their targets and, hence, the prodPhD project is on track to deliver optimal outcomes to meet its aims.

  Abstract
  Deliverable D6.2, ‘Report on monitoring the project developments’, aims to monitor the mid-term progress of the prodPhD project. This deliverable monitors the [...]

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• D5.1 (WP5): Definition of the demonstration actions

  C. García, E. Sanz, C. Soriano

  prodPhD OA (2022). 10

  
  

  Abstract

  The objective of this document is to describe the tasks carried out in task 5.1 of prodPhD project, which is devoted to design the demonstration actions to be carried out on the prodPhD Online Training Environment. The document first introduces briefly the content and organization of the training modules in the training environment. Then, it presents the supervising team, introduces the procedure for selection of candidates for the demonstration actions, the pre-demonstration training sessions, the technical support and feedback mechanism and the monitoring and postdemonstration feedback mechanisms. Finally, the development of the demonstration actions is described.

  Abstract
  The objective of this document is to describe the tasks carried out in task 5.1 of prodPhD project, which is devoted to design the demonstration actions to be carried out [...]

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• D4.1 (WP4): prodPhD microsite at Scipedia.com

  C. García, J. García-Espinosa

  prodPhD OA (2022). 9

  
  

  Abstract

  The objective of this document is to describe the tasks carried out in the frame of WP4 to develop a microsite in the platform Scipedia.com. This microsite enjoys the main capabilities of the open science platform Scipedia.com, and provide the framework to implement the prodPhD Online Training Environment, which will be customized to accomplish the project specific requirements.

  Abstract
  The objective of this document is to describe the tasks carried out in the frame of WP4 to develop a microsite in the platform Scipedia.com. This microsite enjoys the main [...]

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• D3.1 (WP3) Definition of the training methodology

  T. Bao, E. Sanz, C. García

  prodPhD OA (2022). 8

  
  

  Abstract

  This document presents the educational methodology aimed at providing PhD candidates with the necessary knowledge and skills to start and run their business, be they aspiring or confirming entrepreneurs. It addresses the way the training should be done, the training programme content in terms of ‘training pills’ and for each one, specify the rationale, the intended learning outcomes and the content, and suggest the activities to be undertaken, the duration and additional information sources

  Abstract
  This document presents the educational methodology aimed at providing PhD candidates with the necessary knowledge and skills to start and run their business, be they aspiring [...]

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• D7.3 (WPX): Events

  J. García-Espinosa

  prodPhD OA (2022). 6

  
  

  Abstract

  This document contains a list of the different events (conferences, seminars, webinars and workshops) which are organised by the project. This document will be updated and re-submitted at each reporting period.

  Abstract
  This document contains a list of the different events (conferences, seminars, webinars and workshops) which are organised by the project. This document will be updated and [...]

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• D2.2 (WP2): Needs and requirements analysis

  E. Sanz, M. Lascurain, A. Serrano, B. Haidar, P. Alonso

  prodPhD OA (2022). 2

  
  

  Abstract

   The prodPhD project aims to address the challenging problem of introducing entrepreneurship training in PhD programmes regardless of discipline. The prodPhD project will create the necessary teaching methodologies and the platform for applying them. The project consists of a consortium of four organizations from across Europe. The main objective of the prodPhD project is to implement innovative social network-based methodologies for teaching and learning entrepreneurship in PhD programmes. The multidisciplinary teaching and learning methodologies will enable entrepreneurship education to be introduced into any PhD programme, providing students with the knowledge, skills, and motivation to engage in entrepreneurial activities. The methodology will be conceived to develop experiential knowledge, involving academics, entrepreneurship experts, and mentors in its development and implementation. Besides, the exchange of experience, competences, and approaches facilitated by social networking will pave the way to crowdsourcing new ideas, improving training methodologies, and stimulating academics’ entrepreneurial skills

  Abstract
   The prodPhD project aims to address the challenging problem of introducing entrepreneurship training in PhD programmes regardless of discipline. The prodPhD project [...]

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• Minimally intrusive nonlinear Model Order Reduction

  R. Rossi, R. Bravo, J. Hernández, C. Roig

  Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology (MMLDT-CSET 2021) Conference (2021). San Diego, USA (virtual conference). 26-29 September 2021

  
  

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• From Linear Mappings to Deep Learning for Model Reduction of Numerical Simulations of Industrial Interest:

  R. Bravo, R. Rossi, J. Hernández, C. Roig

  Computational Science and AI in Industry (CSAI 2021) Conference. (2021). Trondheim, Norway (virtual conference). 7-9 June 2021

  
  

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