Stanley Milgram is one of the most influential and widely-cited social psychologists of the twentieth century. Recognized as perhaps the most creative figure in his field, he is famous for crafting social-psychological experiments with an almost artistic sense of creative imagination – casting new light on social phenomena in the process. His 1974 study Obedience to Authority exemplifies creative thinking at its most potent, and controversial. Interested in the degree to which an “authority figure” could encourage people to commit acts against their sense of right and wrong, Milgram tricked volunteers for a “learning experiment” into believing that they were inflicting painful electric shocks on a person in another room. Able to hear convincing sounds of pain and pleas to stop, the volunteers were told by an authority figure – the “scientist” – that they should continue regardless. Contrary to his own predictions, Milgram discovered that, depending on the exact set up, as many as 65% of people would continue right up to the point of “killing” the victim.

The experiment showed, he believed, that ordinary people can, and will, do terrible things under the right circumstances, simply through obedience. As infamous and controversial as it was creatively inspired, the “Milgram experiment” shows just how radically creative thinking can shake our most fundamental assumptions.

This advanced textbook on modeling, data analysis and numerical techniques for marine science has been developed from a course taught by the authors for many years at the Woods Hole Oceanographic Institute. The first part covers statistics: singular value decomposition, error propagation, least squares regression, principal component analysis, time series analysis and objective interpolation. The second part deals with modeling techniques: finite differences, stability analysis and optimization. The third part describes case studies of actual ocean models of ever increasing dimensionality and complexity, starting with zero-dimensional models and finishing with three-dimensional general circulation models. Throughout the book hands-on computational examples are introduced using the MATLAB programming language and the principles of scientific visualization are emphasised. Ideal as a textbook for advanced students of oceanography on courses in data analysis and numerical modeling, the book is also an invaluable resource for a broad range of scientists undertaking modeling in chemical, biological, geological and physical oceanography.