This workshop series helps participants understand, evaluate, and improve upon problems that manifest themselves in complex systems.
The 3 workshops focus on the basic concepts of systems thinking and system dynamics modeling, and participants will understand, evaluate, and improve upon problems that manifest themselves in complex systems. System dynamics is a systems science methodology that builds tools for simulating time-dependent, complex problems characterized by feedback structures (loops). The workshop series emphasizes applications of system dynamics in policy analysis and program planning in public health. The workshops will also provide an opportunity to practice modeling skills through hands-on exercises, and also learn how to use the system dynamics modeling software. The agenda is as follows:
Part I – Friday March 20th 2- 5 pm: Provides an overview of the system dynamics modeling process and covers structure-behavior relationship, behavior modes and causal loop diagrams. (This event has ended.)
Part II – Friday April 3rd 2- 5 pm: Introduces stock-and-flow diagrams and basic model-building techniques in system dynamics.
Part III – Friday April 24th 2- 5 pm: Covers material and information delays and discusses modeling S-shaped growth and common SIR models.
Part II Instructors:
Dr. Nasim Sabounchi (CSCD)
Dr. David Lounsbury (Albert Einstein College of Medicine)
*Registration information will be shared after the Part II of the series.
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Earlier Event: April 3
Systems Science Virtual Workshop Series: PART II
Later Event: November 11
Implementation Science and Complexity Science at a Crossroads