来源： CCOSE | 2021年12月16日, 15:08
2021年度 “基于模型的系统工程（MBSE）关键技术” 主题海外青年论坛、第47期系统工程沙龙活动通知
由中国系统工程学会、全国信息技术标准化技术委员会软件与系统工程分技术委员会、数字孪生体联盟、复杂装备MBSE联盟主办，中国系统工程学会科普工作站承办的2021年度“基于模型的系统工程（MBSE）关键技术”海外青年论坛暨中国系统工程学会科普工作站将举办第48期系统工程沙龙，于2021年12月18日（周六）13:30在线上举行。本次活动将邀请斯坦福大学Didem Gurdur Broo博士进行《以人为中心的信息物理融合系统：如何设计更好地智能系统》，欢迎广大系统工程爱好者积极参与。
2021 年12月18日（周六） 13:30 — 15:00 （北京时间）
1.Human-centred Cyber-physical Systems:
How can we build better intelligent systems?
• Lausanne, Switzerland Sat, 18 Dec 2021 at 06:30 CET
• Washington DC, USA Sat, 18 Dec 2021 at 00:30 EST
• UTC, Time Zone Sat, 18 Dec 2021 at 05:30
• Beijing, China Sat, 18 Dec 2021 at 13:30 CST
• San Francisco, USA Fri, 17 Dec 2021 at 21:30 PST
Topic: 48th CCOSE online seminar
Time: Dec 18, 2021 01:30 PM Beijing, Shanghai/span>
Meeting ID: 680 4640 5262
Didem Guerduer Broo博士
个人简介：Didem cares about the future of the world and nature. She is a computer scientist with a PhD in mechatronics, which can give you an idea about how much she loves to talk about the future and emerging technologies. She is a data person, always finds a way to talk about how important it is to know your data, use it to make decisions, and at some point, expect her to talk about art, visualizations, and visual analytics. Didem is a person who does not hesitate to talk about inequalities and point out her ethical concerns. She dreams of a better world and actively works on improving inequalities regardless of their nature. She is an analytical thinker with a passion for design thinking, a researcher with a future perspective, an engineer who likes problems more than solutions, and a teacher who likes to play during lectures. She is a good reader, sailor, divemaster, photographer, and drone pilot. Currently, Didem is Marie Skłodowska-Curie Fellow on Human-centered and Sustainable Cyber-physical Systems at Stanford University. Her project focuses on intelligence, autonomy, and interoperability of cyber-physical systems. She uses data science, design thinking, future thinking, and systems thinking to design future cyber-physical systems not only human-centered but also sustainable way. The project is funded by European Commission's prestigious Marie Skłodowska-Curie Actions which supports excellence in research and innovation. Prior to this project, she has been at the Engineering Department of the University of Cambridge as a research associate for several years. She has worked at the intersection of data science and engineering projects with a focus on the design and implementation of digital twins for cyber-physical systems.
报告题目：《Human-centred Cyber-physical Systems: How can we build better intelligent systems?》
报告内容：High quality, trustworthy data can help organizations build strategies, capture value, increase the potential of automation and enable insightful and fast decision-making. Data could change the cities we inhabit through real-time solutions to challenges such as traffic congestion, air quality, energy distribution and monitoring. It can help us to build better ecosystems that support human flourishing. Data could enable us to be more effective, efficient, and sustainable. And it is already changing the world one industry at a time. At the same time, data is often referred to as “the new oil”. We are, on one hand, benefitted from the revolutions that oil fuelled. Yet, on the other hand, one of the biggest threats that the earth is facing today is the unanticipated results of this revolution – climate change. Now that we are at the beginning of another new era, which many call the fourth industrial revolution, it is vital to understand how data-related decisions of today can affect the future and we focus on understanding the cause-effect relationships of our design decisions. Therefore, it is essential to not only focus on the opportunities of data but also understand the challenges around it. This talk aims to provide an overview of the important characteristics of cyber-physical systems, common challenges related to data usage in cyber-physical systems. We will discuss strategies to deal with these challenges and have a brief introduction to three mindsets that can help us to do not only design intelligent systems but also doing this in a human-centred and sustainable way.
Posted by wenyj | 标签：系统工程 沙龙