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Title: Simulation platforms in the development of aircraft systems
Date:
Wednesday - October 1st, 2014
Abstract:
Modern aircraft systems are highly software dependent and very closely integrated together. Their development, integration and validation would be impossible without the use of a range of simulation platforms, each optimised for a specific part of the aircraft development process, from initial design right the way through to certification, and indeed on to the tools necessary for pilot training. These simulation platforms need to be available early in the design process and to evolve in parallel with the aircraft as it is built, since any modification must be thoroughly checked before it can be tried on the aircraft itself, even before the aircraft goes into service. To completely cover the system functional operations in real time implies the use of multiple powerful computers linked together by data exchange mechanisms mapping those of the aircraft. It is now possible to produce fully virtual simulations of the aircraft systems and their environment which are highly representative of the functional behaviour as seen by the pilot. These different types of simulation platform are presented here, as they are used by Airbus in aircraft development.
Short Bio:
Bernard Mattos graduated in Aeronautical Engineering from Imperial College, London, in 1975. He initially worked at the Royal Aircraft Establishment at Farnborough on the development of ejection seat technology before moving to France in 1978 to work on flight, flight controls and engine simulation at Thomson Simulation. He was in the International Working Group on simulator regulations which developed the ICAO regulations on the qualification of flight simulators, and on the IATA Simulator Data Working Group. He has also taken part in several ARInc working groups on standards for simulation technology.
Since 1998 he has worked at Airbus in Toulouse, working on all the Airbus aircraft programmes, for both engineering and training simulation. He is currently Senior Simulation Expert at Airbus France, responsible for technical and strategic aspects of simulation development for all Airbus aircraft programmes.
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Title: Research Policy Modelling
Date:
Thursday - October 2nd, 2014
Abstract:
This presentation introduces an agent-based model called SKIN (acronym for Simulating Knowledge Dynamics in innovation Networks) to simulate the effects and impacts of policy making on the structure, composition and outputs of research and innovation networks. The model will be discussed using the example of impact assessment and e-ante evaluation of European funding schemes in the ICT sector.
The special application called INFSO-SKIN was designed to provide ex-ante evaluation of EU-funded ICT networks in Horizon 2020 for the DG Information Society and Media (DG INFSO) of the European Commission. Informed by large datasets, the simulation model is set up to reproduce and assess the funding strategies, the funded organisations and projects, and the resulting network structures.
Using real-world datasets and in close response to questions put forward by stakeholders, the model can provide precise, detailed information on the effects of specific policy instruments, on how and how well research and innovation networks operate, and how to understand and manage the relationship between research funding and policy goals. Importantly, the model allows for experimenters to change policy parameters in the simulations. This allows using the system as a tool for modelling and evaluating the results of specific interactions between policies, funding strategies and agents. Using the simulation, policy makers can observe and manipulate patterns of network evolution by varying simulation parameters. Because changing parameters within the model is analogous to applying different policy options in the real world, the model can be used to examine the likely real-world effects of different policy options before they are implemented.
Short Bio:
Petra Ahrweiler is the Director of the European Academy of Technology and Innovation Assessment in Germany, a joint research centre of the Federal German state of Rhineland-Palatinate and the German Aerospace Center. Ahrweiler also holds a professorship for Technology and Innovation Assessment at the Johannes Gutenberg University Mainz in Germany. Her main research interests are innovation networks in knowledge-intensive sectors such as ICT and biotech, issues of science in society, responsible research and innovation, and policy modelling for complex social systems using methods such as social network analysis and agent-based simulation.
Previously, Ahrweiler was Professor of Innovation and Technology Management at the Michael Smurfit School of Business of University College Dublin and Director of UCD's Innovation Research Unit IRU. Furthermore, she belonged to the external faculty of the Engineering Systems Division at the Massachussetts Institute of Technology (MIT).
Ahrweiler studied law, sociology, journalism and political science at the University of Hamburg finishing with her PhD in the area of science and technology studies at the Free University Berlin, where she was supported by the German National Merit Foundation. Since her habilitation thesis at the University of Bielefeld on social simulation of innovation processes she worked as a Heisenberg Fellow of the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) and as a Professor of Economic Sociology at the University of Hamburg, where she built up a new research programme on innovation research.
The researcher has long experience as principal investigator and coordinator of international projects on innovation networks, for example the EU-projects on "Simulating Self-Organizing Innovation Networks (SEIN)", "Network Models, Governance, and R&D Collaboration Networks" (NEMO) or "Governance of responsible Research and Innovation" (GREAT). Ahrweiler holds various research awards and is member of a number of advisory boards in both governmental and academic organizations.
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