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Predicting Burglary Patterns Through Math Modeling of Crime

Published: June 1, 2012.
By Society for Industrial and Applied Mathematics
http://www.siam.org

Philadelphia – May 31, 2012 - Pattern formation in physical, biological, and sociological systems has been studied for many years. Despite the fact that these subject areas are completely diverse, the mathematics that describes underlying patterns in these systems can be surprisingly similar. Mathematical tools can be used to study such systems and predict their patterns.


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medicine
When Vaccines Are Imperfect
Philadelphia, PA--The control of certain childhood diseases is difficult, despite high vaccination coverage in many countries. One of the possible reasons for this is "imperfect vaccines," that is, vaccines that fail either due to "leakiness," lack of effectiveness on certain individuals in a population, or shorter duration of potency.
technology
Where Is That Spacecraft?
Philadelphia, PA—Space surveillance is inherently challenging when compared to other tracking environments due to various reasons, not least of which is the long time gap between surveillance updates. "Unlike the air and missile defense environments where objects are frequently observed, the space surveillance environment data is starved, with many objects going several orbital periods between observations," according to researcher Joshua Horwood. "Thus, it is more challenging to predict the future location of these sparsely-seen objects and they have a tendency to get lost…
technology
Putting a Number on Opinion Dynamics in a Population
Philadelphia, PA—Opinion formation in a large population is influenced by both endogenous factors, such as interaction with one's peers—in-person and via social media—as well as exogenous factors, such as the media, of which mainstream media is one of the most influential factors. For example, according to a study conducted by the National Bureau of Economic Research in 2006, after the introduction and expansion of Fox News in the United States between 1996 and 2000, an estimated 3-28% of the audience was persuaded to…
technology
Overcoming Structural Uncertainty in Computer Models
Philadelphia, PA--A computer model is a representation of the functional relationship between one set of parameters, which forms the model input, and a corresponding set of target parameters, which forms the model output. A true model for a particular problem can rarely be defined with certainty. The most we can do to mitigate error is to quantify the uncertainty in the model.
technology
Applying Math to Cancer, Climate, Crime And Cameras
In a paper published in December in the SIAM Journal on Scientific Computing, authors Li-Tien Cheng, Bin Dong, Chunhua Men, Xun Jia, and Steve Jiang propose a method to optimize radiation therapy treatments in cancer patients.
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