New Public Insights

These are recently updated publicly accessible Insights. In addition to public Insights, Insight Maker also supports creating private Insights.

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Hospital capacity (system dynamics): Patients are referred onto a waiting list and treated by staff. When the waiting list grows, pressure on staff rises and more staff leave. That reduces treatment capacity, and the list grows further: a reinforcing loop that can lead to collapse. Hospitals hire toward a target staffing level based on demand, which acts as a balancing loop.

Technology adoption (agent-based): 200 hospitals each decide individually whether to adopt the new technology, following the Bass diffusion model. Each hospital can adopt because of outside influence (innovation), such as vendors, mandates or funding. It can also adopt because of peer influence (imitation), which grows as more hospitals adopt. As adoption spreads, staff productivity rises by up to 15%, which lowers the number of staff needed.

New tech adoption & overloaded hospital
5 hours ago
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Freier Fall
5 hours ago
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policy1
5 hours ago
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PAIR_58/model
5 hours ago
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Week2-067
5 hours ago
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Property Value Subsystems
5 hours ago
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Concrete Life Cycle, Recycling, and Environmental Impacts
5 hours ago
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My Insight
5 hours ago
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model.InsightMaker
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Concrete Life Cycle, Recycling, and Environmental Impacts
5 hours ago
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Ecosystem
5 hours ago
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高尔夫球
5 hours ago
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Parachute model
6 hours ago
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poblacion
6 hours ago
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Clone of Lab 5(4.2)
6 hours ago
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Water in Utah
6 hours ago
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Evacuacion
6 hours ago
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私人轿车保有量预测
6 hours ago
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Agua del Desague
6 hours ago
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私人轿车保有量预测优化模型
预测未来三十年汽车保有量
6 hours ago
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线性规划模型
6 hours ago
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Clone of Clone of Задача обговорення
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Clone of Laboratorio 3
6 hours ago