2020.csdm.frCSD&M 2020|Complex Systems Design & Management Conference | 11th International Conference on Complex

CSD&M 2020|Complex Systems Design & Management Conference | 11th International Conference on Complex Systems Design & Management About Registration Agenda Sponsors Committees Call for papers December 16 & 17, 2020 CSD&M Paris - Online Edition Date December 2020 Location Online Edition 11th Speakers More than 15 Speakers 11th CSD&M Paris Mastering complex engineered systems is a fundamental strategic challenge. Complex Systems Design & Management (CSD&M) conference is a widely open meeting event dedicated to academic researchers, industrial and governmental actors who are interested in complex industrial systems engineering. The event is not limited to the existing specialists of the subject! The 2-day conference allows since 2010 to discover and share about theories, methods and tools that have been developed to allow to manage the increasing complexity of the technical systems you must design and implement. Thanks to its past 10 editions, CSD&M has become the conference of reference in the field of complex industrial systems architecture & engineering. Due to the particular constraints and uncertainties associated with Covid-19, the organisation committee has decided to keep the event but to consider a digital format this year. For that reason, we propose a special 2 half-day agenda and a unique discounted price fo the event. Get your Pass Program - Day 1 - December 16 (09:00-12:30) December 16 (9h-12h30) 09:00 - 09:15 Welcome speech – New societal and industrial challenges in a post Covid-19 world Daniel Krob - CEO CESAMES - Expert Architect & INCOSE Fellow 09:15 - 10:00 Keynote – How Humans Judge Machines César A. Hidalgo - ANITI Chair University of Toulouse, Manchester, & Harvard - Founder & CEO DATAWHEEL How would you feel about losing your job to a machine? How about a tsunami alert system that fails? Would you react differently to acts of discrimination performed by a machine or a human? How about public surveillance? Hidalgo’s approach compares people’s reactions to actions performed by humans and machines. Using data collected in dozens of experiments, it reveals the biases that permeate human machine interactions. Are there conditions in which we judge machines unfairly? Is our judgment of machines affected by the moral dimensions of a scenario? Is our judgment of machine correlated with demographic factors, such as education or gender? Hidalgo and colleagues use hard science to take on these pressing technological questions. Using randomized experiments, they create revealing counterfactuals and build statistical models to explain how people judge A.I., and whether we do it fairly or not. Through original research, they bring us one step closer to understanding the ethical consequences of artificial intelligence. Hidalgo currently holds a Chair at the Artificial and Natural Intelligence Institute (ANITI) at the University of Toulouse. He is also an Honorary Professor at the University of Manchester and a Visiting Professor at Harvard’s School of Engineering and Applied Sciences. 10:00 - 10:30 Energy system evolution challenges Richard Schomberg - Vice-President Standardization at EDF Group (Electricité de France) and EDF Corporate Fellow, IEC Ambassador Energy systems inevitably change and develop over time; the systems of today are the result of many years of incremental development. To be able to live sustainably, we need to drastically reduce our fossil fuel consumption worldwide by improving end-use efficiency, conversion efficiency and by introducing renewable resources. The energy transition requires new systems, new technology, new and expanded networks, new storage systems. Inevitably, these require investments – in equipment, but also in education, knowledge, to teach people how to build and use them. The energy transition decision-making process involves many players, who consider the legacy systems, evaluate barriers and make trade-offs. We need to transform our energy systems. Why does this present such a challenge? How large World Energy players like EDF are contributing and leading the transition? Richard Schomberg is IEC Ambassador for Smart Energy (www.IEC.ch).Recipient of the IEC 2011 Lord Kelvin award, he designed multimillion euros complex systems for critical operations. He has been Professor of System Engineering at Supelec (Paris), Chair of the Intelligrid Strategy Committee (Electric Power Research Institute – recipient of the Chauncey Starr Award 2005). He has been member of the Technology Advisory Board of Southern California Edison, emeritus member of the US DoE Gridwise Architecture Council. He had the responsibility of EDF R&D activities in North America (strategic partnerships with scientific/industrial players), sourcing and transferring innovations to EDF Group in Europe. He is currently in charge of strategy and Smart Energy Standardization activities coordination across EDF. 10:00 - 10:30 Road to Digital Jose Matias Fuentes Mattioli - Digital Vehicle Manager, Jaguar Land Rover The advent of ACES (Autonomous, Connected, Electrified, Shared) trends in the Automotive Industry has been pushing the last few areas of vehicle development that rely on physical prototypes into the use of virtual (CAE) tools. The preponderance of subjective assessments in areas such as vehicle dynamics has made the transition particularly challenging. This presentation will show how the Road to CAE project at Jaguar Land Rover is tackling these difficulties with three parallel activities. First, a comprehensive analysis of the problems led by industry expert Richard Parry Jones CBE. Second, the development of CAE or Rig-based tools for each area. Third, the study of objective measurements that can replace subjective ones in the virtual world, this time using a novel approach: measure the human as well as the machine. J. Matias Fuentes Mattioli is a Mechanical Engineer from Argentina who was able to turn his lifelong passion for cars into a career at the Automotive Industry. He joined Jaguar Land Rover in 2007 and for 7 years built a foundational knowledge of core vehicle development. He then spent time in China developing JLR’s operations and gained key insights of automotive trends. Since 2017 he has been developing the company’s CAE strategy in UK before going to Stanford University next year to further study the megatrends that are disrupting the industry. 10:00 - 10:30 Formal Methods for Safe Autonomous Driving Thierry Lecomte - CLEARSY Founder & R&D Director, FM Evangelist Formal methods history is paved with industry successes towards the improvement of railway systems safety: - L14 Paris driverless metro without accident after 20 years of exploitation, now historic line 1, then line 4 in the near future; - more than 30% worldwide CBTC-based metros embed a formal method; - formal techniques to prove configuration parameters and system level specification correctness; - safety computer programmed with formal method for SIL4 sensor-based C&C systems. Formal methods are adequate to integrate autonomous systems in more open environments like autonomous trains and shuttles. This presentation makes clear how the future autonomous systems could benefit from further formal engineering. 10:30 - 11:00 Software and AI-enabled networks: critical systems of the 21st century? Nicolas Demassieux - Senior VP Orange Labs Research Telecommunication Networks have revolutionized all aspects of our everyday life. As highlighted in recent times (COVID-19), digital is no longer an option, but a necessity. The availability of high performance, energy efficient, ubiquitous and affordable networks is a necessary precondition for enabling communication among citizens, open access to information, remote work, access to education, health care and public services. Their strategic role is obviously becoming more and more crucial when considering essential services such as energy, water, gas, transport, health, public safety, etc. As a result of the...