IBM Using Complex Math To Manage Natural Disasters

coondoggie brings us a NetworkWorld story about IBM's efforts to use complex algorithms to manage responses to natural disasters. Researchers are making use of recent increases in processor speed and algorithm efficiency to develop a scalable, flexible model capable of handling the complicated planning involved in reacting to a crisis. Quoting: "'We are creating a set of intellectual properties and software assets that can be employed to gauge and improve levels of preparedness to tackle unforeseen natural disasters,' says Dr. Gyana Parija. 'Most real-world problems involve uncertainty, and this has been the inspiration for us to tackle challenges in natural disaster management.' In the case of flooding, for example, the stochastic programming model would use various flood scenarios, resource supply capabilities at different dispatch locations, and fixed and variable costs associated with deployment of various flood-management resources to manage various risk measures. By assigning probabilities to the factors driving outcomes, the model outlines how limited resources can meet tomorrow's unknown demands or liabilities. In this way, the risks and rewards of various tradeoffs can be explored, IBM said."

Comments

before the flood of replies...

[icegreentea]

Before everyone starts smarting at this thing 'predicting' natural disasters, please read the summary carefully (I know your not going to read the article). The math and system is designed to help deal with natural disasters that do happen (like optimizing your relief delivery path, plotting the best places to contain/fight a forest fire, etc etc). It is also used to evaluate how best, and how well current resources could be used in a natural disaster by predicting (yes, there is it, a prediction) most likely challenges, problems, scale and the like. I think it's useful.
<p>
The new thing with this apparently is that they're using a new mathematical model that previously was too computationally expensive to do on a large scale. Computers are powerful enough to use these models now.

Re:Complex math?

[jonadab]

> That's "complex" as in "complicated" math

In mathematics, "complex" does not mean complicated any more than "proper" means correct or "rational" means sane or "group" means any old gathering or collection. These words have very specific meanings in mathematics, and using them for their general-English meaning, in the context of math, is at best confusing and at worst outright misleading.

You can talk about a "complex algorithm", and people will generally understand you mean a complicated one, because the word "algorithm" lends more of a computer-science context. You can say "complex way of doing things" and convey the idea of complicatedness, because "way of doing things" is sufficiently general that it doesn't really imply any particular context at all. But saying "complex math" very much conveys the idea of the use of complex numbers (i.e., numbers with a real part and an imaginary part, either or neither or both of which may be zero for any given number) because the word "math" strongly implies a mathematics context and draws the math-jargon sense of the word "complex" to the forefront. Only someone who doesn't *know* what the word "complex" means in mathematics would think of any other meaning.

It's like saying "hedge fund" and expecting people to get the idea that you're collecting money for shrubberies. Only someone with no idea what a hedge fund is would get that impression.