Dan Braha, PhD

Commonwealth Professor

Decision & Information Sciences

Personal Webpage

508-910-6961

508-999-8646

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Charlton College of Business 223

Education

1996Tel Aviv University PhD
1992Tel Aviv University MS
1988Tel Aviv UniversityBS

Teaching

Courses

Data analytics to describe, predict, advise decision-making, & improve business performance. The student will learn how to analyze business problems using a quantitative decision-making approach. This course focuses on methods, descriptive/predictive models for decision-making, & possible actions that would profit from analysis & results examined in a business context. This course is required of all undergraduate business majors.

Design, development, direction, and distribution methods used to deliver goods and services. Topics covered include operations strategy and the management of quality, inventory, supply, capacity and demand, and others. Conceptual, analytical, and quantitative techniques are taught to improve the efficiency and effectiveness of transformation processes in organizations.

Design, development, direction, and distribution methods used to deliver goods and services. Topics covered include operations strategy and the management of quality, inventory, supply, capacity and demand, and others. Conceptual, analytical, and quantitative techniques are taught to improve the efficiency and effectiveness of transformation processes in organizations.

Research

Research Activities

  • Complex Networks
  • Complex Systems

Select publications

  • Dan Braha and Yaneer Bar-Yam (2007).
    Braha, D., & The statistical mechanics of complex product development: Empirical and analytical results
    Management Science, 53(7), 1127-1145.
  • Dan Braha & Marcus de Aguiar (2017).
    Voting contagion: Modeling and analysis of a century of US presidential elections
    PloS one, 12(5), e0177970.
  • Dan Braha (2012).
    Global civil unrest: contagion, self-organization, and prediction
    PloS one, 7(10), e48596.
  • Dan Braha & Yaneer Bar-Yam (2006).
    From centrality to temporary fame: Dynamic centrality in complex networks
    Complexity, 12(2), 59-63.
  • David Chinellato, Irving Epstein, Dan Braha, Yaneer Bar-Yam & Marcus de Aguiar (2015).
    Dynamical response of networks under external perturbations: exact results
    Journal of Statistical Physics, 159(2), 221-230.

Dan Braha is a Commonwealth professor at the Department of Decision and Information Sciences at the Charlton College of Business, University of Massachusetts, Dartmouth, and is also a co-faculty of the New England Complex Systems Institute (NECSI), where he conducts research and teaches courses in complex systems. During the 2012–2013 Academic Year, he was a visiting professor at the MIT Engineering Systems Division where he conducted research and taught in the MIT’s System Design and Management Program (jointly offered by the MIT School of Engineering and the MIT Sloan School of Management). Prior to joining UMD, he was a visiting professor at the MIT Center for Product Development, a research scientist at Boston University, and a tenured professor in Israel. During his career he has taught a wide array of undergraduate and graduate courses (regularly teaching Operations Management core courses). Prof. Braha was honored to receive five times the Thomas J. Higginson Award for Excellence in Teaching at the Charlton College of Business, as well as the 2019 Walter Cass Faculty Recognition Award, presented by the UMass Dartmouth Class of 2019 (of all colleges). Prof. Braha’s passion for teaching is evenly matched with his passion for research. Prof. Braha has published in various prestigious journals, authored a book on product design and development, edited eight additional books, and his work is regularly cited and covered by various national and international news media including: Science Magazine, The Economist, Wired Magazine, Le Monde, The Huffington Post, New Scientist, The New Republic, Nova, The Sydney Morning Herald, The Age, The Standard-Times, International Business Times, The Irish Times, Science and Technology Daily (in Chinese), Business Insider, Technology Review (Published by MIT), InternetActu.net (in French), Terraeco.net (in French), PhysOrg, CXO Advisory, MoneyScience, ClearOnMoney, Plan B Economics, Hedgehogs.net, Alea, TradersNarrative, Campanil-E News and Events@UMass Dartmouth, UMass Dartmouth Magazine. During his career, he has served on a wide variety of academic committees and boards, both in and out of the university, including many chair, “expert” and leadership roles. He is also regularly invited to present his work as keynote and plenary speaker in high-profile international conferences and symposiums, including by The Royal Netherlands Academy of Arts and Sciences, the MIT SDM Systems Thinking, the American Society of Mechanical Engineers (ASME), The IEEE Systems, Man, and Cybernetics Society, the RAND Corporation, and GE Global Research.

Dr. Braha has contributed to a wide spectrum of interdisciplinary research areas. For example, he has embarked on a new area of management science research, whose main objective is to characterize the real-world structure and dynamics of complex organizational networks. Of particular interest to him are strategic operational systems including large-scale product design and development, distributed innovation, and complex supply networks. This research has generated novel methodologies for organizing complex design processes in order to improve industrial practices in various industries including open source software, automotive, electronics, and construction. His wish to understand and improve managerial systems has led him to broaden the scope of his work toward forward-thinking complex systems research that addresses cross-disciplinary issues in an interconnected world. To this end, he has introduced novel methodologies for understanding the functionality, dynamics, robustness, and fragility of large-scale socio-managerial, economic, political, and engineering systems using data-driven theoretical and computational models and tools of operations research, computer science, sociology, and natural science.

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