Ida Hoos - On The Perils of Mathematical Modeling and Public Policy

The need for careful analysis of all assumptions that go into a mathematical model, and a corresponding willingness to investigate the predicted output of a model vs. what is actually observed, is sine qua non for all mathematics modelers.
I mention this because I just heard of the death of Ida Hoos - someone whom I was unfamiliar with, but who published frequently on the potential problems with mathematical modeling in the social sciences.
From the 5/5/2007 NYTimes obit by Katie Hafner:
...Dr. Hoos, a sociologist, was widely recognized as an outspoken critic of systems analysis, which came to prominence after World War II. The approach used mathematical models to perform cost-benefit analyses and risk assessments on complex technologies like radar systems and military aircraft.
With the concept strengthening in the 1950s and ’60s, when the use of computers to assess technology grew more popular, she wrote widely on a need to balance it with other considerations like effects on the work force.
“A kind of quantomania prevails in the assessment of technologies,” Dr. Hoos wrote in 1979 in the journal Technological Forecasting and Social Change. “What cannot be counted simply doesn't count, and so we systematically ignore large and important areas of concern.”
Dr. Hoos urged national decision makers to take such assessments “with a large measure of skepticism lest they lead us to regrettable, if not disastrous, conclusions.”