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The goal of RI-ITEST is to prepare diverse students for careers in information technologies by engaging them in exciting, inquiry- based learning activities that use sophisticated computational models in support of a revolutionary science curriculum. Teachers will incorporate interactive computer models developed under the Science of Atoms and Molecules (SAM) project at the Concord Consortium. These materials were specifically designed to support a deeper understanding of science made possible through interactive computer simulations and the new physics-chemistry-biology sequence. Connections will be made between the models students use to learn science and possible careers in research and industry where computer modeling is used.

Although rabies still causes thousands of deaths globally every year, it has essentially been eradicated from most industrialized countries. Part of the success story is due to an unusual project undertaken by the Swiss prompted by a series of large outbreaks in the 1970s: the large-scale vaccination of wild foxes to stop the epidemic. In this directed case study, students use an easily accessible MS Excel-based model to understand key epidemiological parameters of rabies outbreaks in wild foxes. The simple model allows students also to predict what proportion of foxes needs to be vaccinated to eradicate the virus from the population. The case fits into both ecological and microbiological (epidemiological) courses and offers opportunities to explore zoonotic diseases and "One Health" questions. The mathematical basis of the differential equations in the models is explained, although prior knowledge of calculus is not essential. A key learning outcome is the critical understanding of both the power and limitations of simple epidemiological models. This case was written for an online course but could also be used as a face-to-face activity if students have access to computers in class.

Lyme disease, Ebola and malaria all developed in animals before making the leap to infect humans. Predicting when such a 'zoonotic' disease will spark an outbreak remains difficult, but a new study suggests that artificial intelligence could give these efforts a boost. A computer model that incorporates machine learning can pinpoint, with 90% accuracy, rodent species that are known to harbour pathogens that can spread to humans, researchers report this week in the Proceedings of the National Academy of Sciences1. The model also identified more than 150 species that are likely to be disease reservoirs but have yet to be confirmed as such.

The Innovative Technology in Science Inquiry project engages students in STEM activities through the integrated use of technologies that include modeling, computational thinking, and real-time data acquisition. This comprehensive project will assist teachers in preparing diverse students for STEM careers by engaging them in exciting, inquiry-based science projects.

A dynamic 3D computer animated video takes you "inside" for a close-up look at how we're made. Watch as the mysteries of the Human Genome are literally "unraveled." 3D modeling and animation created by Bill Baker, Bakedmedia, Inc. and Mike Fisher for the National Human Genome Research Institute.