Industrial Engineer Engineering and Management Solutions at Work

May 2013    |    Volume: 45    |    Number: 5

The member magazine of the Institute of Industrial and Engineers

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Systems Engineering by Ricardo Valerdi

Industrial Engineer's quarterly column about systems engineering (May 2013) 

Modeling the STEM ecosystem

One of the grand challenges of STEM (science, technology, engineering and mathematics) programming is identifying which investments will yield the highest results in terms of increasing the number, rate, longevity and diversity of students in STEM disciplines. The difficulty is the complexity of the STEM ecosystem itself. Cause and effect relationships are poorly understood, and the many variables influencing the effectiveness of STEM outcomes make it difficult to manage.

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