Learning from evidence in a complex world.

By John D. Sterman. American Journal of Public Health, 2006

905 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, General Health Professions, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/b57bafa353429d02358202ba9526dffc7a8e7459

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In Experimental and Cognitive Psychology

In General Health Professions

In Management Science and Operations Research

Citations in the corpus

Systems thinking, knowledge and action: towards better models and methods (2010, background): “• take into account the large number of elements that interact in nonlinear and dynamic ways (Sterman, 2006); • understand context, reflecting the history of the system, and the fact that hindsight does not lead to foresight, because the external conditions and systems constantly change (Snowden and”
Systems Science Methods in Public Health (2012, neutral): “The method arose originally in management science (50) from the recognition of the need to explicitly model nonlinear processes that are characteristic of complex phenomena such as policy resistance, the law of unintended consequences, and the often counterintuitive behavior of social systems (131).”
Understanding barriers to decision making in the UK energy-food-water nexus: The added value of interdisciplinary approaches (2016, background): “…loss of expertise as well as gaps in training and skills development, for example in policy organisations with high turnover, leads to a cycle of knowledge production with minimal consideration for the importance of capturing the development and evolution of this knowledge and lessons learnt (I).”
Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context (2020, background): “To limit reference modes to indicators that already exists runs the risk of conflating what is familiar, tangible, and potentially biased, with what is actually important [102].”
Agent-Based Modeling in Public Health: Current Applications and Future Directions (2018, background): “The ability of ABMs to incorporate feedback and adaptation is particularly important in evaluating hypothetical interventions, especially when interventions may change behaviors, social networks, or environments in ways that may negate the desired positive intervention effects (96).”