New England Complex Systems Institute

 

 

 

Selected Publications

Amazing Publications

 

Dan Braha is a Professor at the University of Massachusetts, Dartmouth, and a faculty member at the New England Complex Systems Institute (NECSI). He was a Visiting Professor at the Massachusetts Institute of Technology (MIT), and a research scientist at Boston University.

 

Dan Braha has advanced the formal approach in Engineering Design by introducing methodologies for understanding and improving the design, implementation, and dynamics of Complex Socio-Engineered Systems (CES) as well as exploring the interplay between natural and large-scale human-made systems. One advantage of such an approach is to put natural and complex socio-engineered systems within the same discipline, whereby the study of natural complex systems leads to better methods for engineered complex systems, while experience with building, controlling, and manipulating engineered complex systems enhances understanding of how natural complex systems function.

 

His research in Complex Socio-Engineered Systems (CES) mainly focuses on understanding their functionality, dynamics, robustness, and fragility. In particular, the following themes are emphasized:

  • The description and analysis of CES as networks. Tasks, teams, technical decisions are the nodes. Links quantify the information transfer between the various nodes. The similarity and differences between CES networks and other networks (e.g., Internet, metabolic, and regulatory networks) are of great interest.

  • The description of CES dynamics through its decomposition into an interrelated set of localized subsystems.

  • The creation of taxonomy of interconnectedness and near-decomposability across different domains and scales in the context of technical systems. 

  • In recognition of the ubiquity of robustness in biological and physical systems, the examination of the range of meanings for engineering system robustness (beyond 'insensitivity to variation in the operating environment'), with the aim of developing a more integrated and systematic management of robustness throughout the creation and realization of man-made systems.  

  • The understanding and formulation of both structural and dynamic complexity of engineered systems based on information-theoretic concepts. 

  • The development of adaptive methods for achieving system flexibility and robustness by dynamically modifying the way the uncertain external environment (including changes in the systemís initial requirements) is represented within the system, and by reconfiguring the system based on these modifications.

 

 

 

The Structure and Diffusion Dynamics of 

Large Scale Organizational Networks

 

 

Social Network Analysis of Product

Design and Development Organizational Networks

 

 

 

Time-Dependent Networks, Dynamic Centrality, and Cycles of Human Interactions: A New Paradigm for Complex Networks

 

Theory of Time-Dependent Networks: How randomness rules our “ranking” – from “popular influencer” marketing to disease and computer-virus prevention strategies

 

 

 

Back Cover

 

 

 

First Book on Data Mining in Design and Manufacturing Systems

 

 

 

Download 'Design as Scientific Problem Solving'

 

 

 

Information Delays, Instability, and Oscillations in Complex Decision Making