Childhood
obesity has proliferated until it has been identified as an epidemic
and a national priority. The causes of this plight are
complicated, interrelated, and with fragmented interests and
priorities. Although many studies exist, they often focus on one,
or at most a few, causes and results, and due to complexity issues,
these are often treated independently. Consequently, we are
initiating a project using Agent-Based Modeling techniques to examine
the total questions of childhood obesity. Our model will allow
children to interact with parents, peers, schools, and food and as it
develops, other contributing factors. The initial goals for the
modeling exercise are to (1) replicate historical trends and (2)
conduct simulations of alternative policy interventions. It is in
the later that we hope to identify and understand emergent behavior and
tipping points. Through these critical factors, we hope to
identify policy and behavioral changes that could reverse the increase
trends of childhood obesity.