A vision for advancing systems science as a foundation for the systems engineering and systems practice of the future

2019 ◽  
Vol 36 (5) ◽  
pp. 621-634 ◽  
Author(s):  
David Rousseau
Keyword(s):  
Systems Engineering ◽  
Systems Science ◽  
Systems Practice ◽  
The Future

Systems Principles, Systems Science, and the Future of Systems Engineering

Insight ◽  
2019 ◽  
Vol 22 (1) ◽  
pp. 13-15 ◽  
Author(s):  
David Rousseau ◽  
Javier Calvo‐Amodio
Keyword(s):  
Systems Engineering ◽  
Systems Science ◽  
The Future

scholarly journals The current COVID-19 wave will likely be mitigated in the second-line European countries

2020 ◽  
Author(s):  
S. Soubeyrand ◽  
M. Ribaud ◽  
V. Baudrot ◽  
D. Allard ◽  
D. Pommeret ◽  
...  
Keyword(s):  
United Kingdom ◽  
Mixture Model ◽  
European Countries ◽  
Systems Science ◽  
Second Line ◽  
University Center ◽  
The Future ◽  
Population Structures ◽  
Data Driven Approach ◽  
Using Data

AbstractObjectiveCountries presently apply different strategies to control the COVID-19 outbreak. Differences in population structures, decision making, health systems and numerous other factors result in various trajectories in terms of mortality at country scale. Our objective in this manuscript is to disentangle the future of second-line European countries (i.e. countries that present, today, a moderate death rate) with respect to the current COVID-19 wave.MethodWe propose a data-driven approach, grounded on a mixture model, to forecast the dynamics of the number of deaths from COVID-19 in a given focal country using data from countries that are ahead in time in terms of COVID-19-induced mortality. In this approach, the mortality curves of ahead-in-time countries are used to build predictors, which are then used as the components of the mixture model. This approach was applied to eight second-line European countries (Austria, Denmark, Germany, Ireland, Poland, Portugal, Romania and Sweden), using Belgium, France, Italy, Netherlands, Spain, Switzerland, United Kingdom as well as the Hubei province in China to build predictors. For this analysis, we used data pooled by the Johns Hopkins University Center for Systems Science and Engineering.ResultsIn general, the second-line European countries tend to follow relatively mild mortality curves (typically, those of Switzerland and Hubei) rather than fast and severe ones (typically, those of Spain, Italy, Belgium, France and the United Kingdom). From a methodological viewpoint, the performance of our forecasting approach is about 80% up to 8 days in the future, as soon as the focal country has accumulated at least two hundreds of deaths.DiscussionOur results suggest that the continuation of the current COVID-19 wave across Europe will likely be mitigated, and not as strong as it was in most of the front-line countries first impacted by the wave.

Agility in the Future of Systems Engineering (FuSE) ‐ A Roadmap of Foundational Concepts

2021 ◽  
Vol 31 (1) ◽  
pp. 158-174
Author(s):  
Keith D. Willett ◽  
Rick Dove ◽  
Alan Chudnow ◽  
Rusty Eckman ◽  
Larri Rosser ◽  
...  
Keyword(s):  
Systems Engineering ◽  
The Future

scholarly journals What is Systems Thinking? Expert Perspectives from the WPI Systems Thinking Colloquium of 2 October 2019

Systems ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 6 ◽  
Author(s):  
Matthew Amissah ◽  
Thomas Gannon ◽  
Jamie Monat
Keyword(s):  
Systems Thinking ◽  
Systems Engineering ◽  
Real World ◽  
Systems Science ◽  
Systems Dynamics ◽  
Research And Practice ◽  
Fundamental Notion ◽  
Real World Problems

Systems thinking is an approach to reasoning and treatment of real-world problems based on the fundamental notion of ‘system.’ System here refers to a purposeful assembly of components. Thus, systems thinking is aimed at understanding relationships between components and their overall impact on system outcomes (i.e., intended and unintended) and how a system similarly fits in the broader context of its environment. There are currently several distinct flavors of systems thinking, both in practice and scholarship; most notably in the disciplines of systems science, systems engineering, and systems dynamics. Each of these, while similar in purpose, has a distinct history and a rich set of methods and tools for various application contexts. The WPI Systems Thinking Colloquium held on 2 October 2019 was aimed at exploring the diversity of perspectives on systems thinking from these disciplines. The colloquium brought together world-renowned experts from both industry and academia to share insights from their research and practice. This paper offers a compilation of summaries of the presentations given.

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