This interactive module can be used to model infectious disease spread in a population. It includes background on the SIR model and two simulators for modeling disease spread on different scales.
In this Click & Learn, students explore factors that contribute to patterns seen in the Keeling Curve: a continuous record of atmospheric CO2 starting in 1958.
This Click & Learn traces the flow of energy from the Sun all the way to cells within organisms. The embedded questions and calculations guide students’ understanding of how energy is distributed through a variety of ecosystems.
In this Click & Learn, students explore mathematical models that describe how populations change over time and apply these models to the invasive lionfish population in the Bahamas. They also use data from other species to learn how density-dependent factors limit population size.
This video case study explores the approaches scientists used to identify a mutation that causes retinitis pigmentosa (RP), a progressive disease that leads to blindness.
This interactive module consists of a virtual Winogradsky column, which can be used to explore the diversity of microbes, microbial metabolic strategies, and geochemical gradients found in sediments.
This interactive simulation allows students to explore two classic mathematical models that describe how populations change over time: the exponential and logistic growth models.