Release 2 of the dataset has been prepared for the 2007 workshop, revising and extending the first release prepared for the SDM-06 Workshop. It tracks a set of 1.6 million synthetic individuals at 240,000 locations based on the city of Portland, Oregon. Each individual has a number of demographic attributes (age, income, work status, household structure) and daily activities for a normative day (including places visited and times). A collection of interoperable simulations--modeling urban infrastructure, people activities, route plans, traffic, and population dynamics--mimic the time-dependent interactions of every individual in a regional area. Disease dynamics are captured by a coupled probabilistic timed transition system whereby the state of health of a person can change depending on the health and duration of his or her contacts in the underlying social network. This form of `individual modeling' provides a bottom-up approach mirroring the contact structure of individuals and is naturally suited for formulating and studying the effect of intervention policies.

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