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 [...]
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 [...]
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 [...]
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 [...]
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 [...]
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
XI International Conference on Coupled Problems in Science and Engineering (COUPLED 2021), (2021). Chia Laguna, Italy (virtual conference). 13-16 June,2021
Open Access Repository of the ExaQUte project: Deliverables (2022). 6
Abstract
In this work we focus on reducing the wall clock time required to compute statistical estimators of highly chaotic incompressible flows on high performance computing systems. Our approach consists of replacing a single long-term simulation by an ensemble of multiple independent realizations, which are run in parallel with different initial conditions. A failure probability convergence criteria must be satisfied by the statistical estimator of interest to assess convergence. Its error analysis leads to the identification of two error contributions: the initialization bias and the statistical error. We propose an approach to systematically detect the burn-in time in order to minimize the initialization bias, accompanied by strategies to reduce simulation cost. The framework is validated on two very high Reynolds number obstacle problems of wind engineering interest in a high performance computing environment.
Abstract In this work we focus on reducing the wall clock time required to compute statistical estimators of highly chaotic incompressible flows on high performance computing systems. [...]
Colección de pruebas Jesús Sánchez 
D5.1 (WP5): Definition of the demonstration actions 
491New York Institute of Technology
