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New England Complex Systems Institute

New England Complex Systems Institute
Related:  Systems EngineeringComplexity research

SEBoK The Guide to the Systems Engineering Body of Knowledge (SEBoK) was created by the Body of Knowledge and Curriculum to Advance Systems Engineering (BKCASE) project. BKCASE is overseen by a , consisting of the International Council on Systems Engineering (INCOSE), the Systems Engineering Research Center (SERC), and the IEEE Computer Society. The SEBoK provides a compendium of the of organized and explained to assist a wide variety of users. It is a living product, accepting community input continuously, with regular refreshes and updates. Systems engineering is an interdisciplinary approach and means to enable the full life cycle of successful , and systems. It including problem discovery and formulation, solution definition and realization, and operational use, sustainment, and disposal. Welcome to SEBoK v. 1.9 On behalf of the the BKCASE Governing Board and sponsors, welcome to SEBoK v. 1.9. About the SEBoK Figure 1 Scope of SEBoK Parts and related knowledge (SEBoK Original).

| CAMS, EHESS Exploring The Adjacent Possible | OnTheSpiral Aeronautics and Astronautics Computational Social Science: Text and Decisions July 16 - July 23, 2011, Lipari Island, Italy | Lipari School on Computational Social Science "Smart city" projects are a strategic opportunity for reorganizing local governance. A smart city is a complex adaptive system (CAS) from a computational social science perspective. Smart cities promise a considerable rate of innovation that will benefit urban populations, making them more accessible in spatio-temporal terms, and increase efficiency and rationalization in the management of environmental and energy resources. Furthermore, they will promote new ICT competences. For this reason, technological innovation should be calibrated to these potential scenarios and properly planned so that it enables greater social equity and access. Many "smart city" projects aim to demonstrate the valuable contribution of ICTs. In fact, technologies that support each of the smart parameters must solve key challenges related to their effective usability, sustainability, and impact. List of speakers Special Guest Speakers Claudio Cioffi-Revilla George Mason University, USA Information School director

Yaneer Bar-Yam www.necsi.edu New England Complex Systems Institute 238 Main Street Suite 319, Cambridge, MA 02142 Phone: 617-547-4100 Fax: 617-661-7711 Professor Yaneer Bar-Yam is Founding President of the New England Complex Systems Institute. His research focuses on developing complex systems concepts and applying them to diverse areas of scientific inquiry and to major social problems. He has developed quantitative models for a wide variety of complex system behaviors including network dynamics, market instability and the current financial crisis, negotiation, economic development, pandemics and invasive species, ethnic violence, global food crises, and biological cell function and regulation. He has applied both quantitative models and fundamental principles to the prevention of ethnic violence, opportunities in global development, healthcare system transformation, education system reform, complex systems engineering, and military operations in asymmetric warfare. Overview Economics Ethnic Violence

Software Cost Estimation Metrics Manual v. 0.75 Laposs Reflexivepractice | Exploring insights from the complexity sciences System Test SECOE maintains and updates a list of desired research topics that are of interest to systems engineering. The list is reviewed and prioritized by the SECOE leadership. Topics may be suggested for addition or deletion by contacting secoe@incose.org. There are six major areas of desired research: Follow this link for examples of possible research topics Priority Research Topics SECOE believes these specific topics to be of highest priority. Statistical research to quantify the use and effects of systems engineering How to compress the systems engineering process, with sensitivity analysis (cost, schedule, quality) to define what is lost by compression Cost estimation methods for systems engineering Relative cost of requirements changes - can expand to similar topics such as relative cost of tests, relative costs of analysis, etc. 1.0 Value of Systems Engineering Background Systems engineering is often thought to be expensive. 2.0 SE Processes and Process Improvement 3.0 SE Methods

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