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    1-087-ThanosPopulationDynamics-ModelingScenario
    In the end of the “Avengers Infinity War,” the villain Thanos snaps his fingers and turns half of all living creatures to dust with the hope of restoring balance to the natural world. How does this...
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    1-024-MalariaControl-ModelingScenario
    This project offers students a chance to make policy recommendations based on the analysis of models using both linear (exponential decay) and non-linear (logistic growth) differential equations.
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    1-039-StochasticPopModels-ModelingScenario
    We develop strategies for creating a population model using some simple probabilistic assumptions. These assumptions lead to a system of differential equations for the probability that a system is...
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    1-067-ModelingWithSigmoidCurves-ModelingScenario
    The assignment considers two well-known models of population growth, Verhulst-Pearl and Gompertz models, for which qualitative and quantitative analyses are provided. The graphs of the...
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    1-104-InfectionRisk-ModelingScenario
    This project is designed to examine differences between the exponential and logistic growth models in biology and how to apply these models in solving epidemic questions.
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    1-143-PopulationModelVariationsMATLAB-ModelingScenario
    Students will walk through a detailed derivation and review of basic population models (exponential and logistic) to create and understand variations of those models.
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    The Hidden Kingdom: Island Biogeography with Fungi
    In this activity, students will explore a dataset of fungi dispersal capabilities and colonizing success to test the predictions of island biogeography theory.
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    One-way ANOVA in R with swirl
    One-way analysis of variance (ANOVA), following the text in Chapter 5 of Beckerman et al. (2017) Getting started with R: an introduction for biologists, 2nd edition.
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    Cell Aggregation and Sphere Packing
    This module introduces the calculation of packing density in the context of understanding cell aggregation and arrangement. It is intended for an introductory biology audience.
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    DNA and Knot Theory
    This module introduces knot theory in the context of understanding the packing of DNA. It is intended for an introductory biology audience.
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    Estimating Tree Heights: Right Triangle Trigonometry
    This module introduces basic trigonometry calculations in the context of understanding tree height calculations. It is intended for an introductory biology audience.
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    Interspecific Competition: the Lotka-Volterra Model
    This module introduces the Lotka-Volterra Model in the context of understanding interspecific competition. It is intended for an introductory biology audience.
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    Nastic Movements in Plants
    This module introduces an osmotic model in the context of understanding plants' capability of rapidly adapting to changes in their environment. It is intended for an introductory biology audience.
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    Intro to BIOMAAP - Student Math Anxiety Overview
    This presentation is intended as a stand alone 45 minutes-1 hour presentation to give students general information on math anxiety and a few strategies to try on their own.
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    IPMpack: an R package for Integral Projection Models
    IPMpack is an R package (R Development Core Team 2013) that allows users to build and analyse Integral Projection Models.
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    Outstanding Oaks: Quercus Phenology at NEON Sites
    This resource uses an app hosted on QUBES to visualize similarities and differences in Quercus phenology at three NEON sites in California, Florida, and Massachusetts.

    Keywords: ecologyphenology

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    Math anxiety and attitudes in biology undergraduate students
    Session presentation for BIOMAAP at the 2018 QUBES/BioQUEST Summer Workshop
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    Population dynamics in simple two-species experimental microcosms
    A two-week exercise which includes homework calculations and teaching resources. Students establish brine shrimp and Platymonas algal cultures and predict final densities.
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    Calculating Lifetime Cancer Risk Resulting from DNA Replication
    An expanded case study adapted from an HHMI Data Point on Cell Division and Cancer Risk using Figure 1 from Tomasetti, C. and Vogelstein, B. (2015).
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    Cell Division and Cancer Risk Data Point
    Cancer is typically attributed to hereditary and environmental factors, but these only explain a fraction of overall cancer risk. This activity explores a third factor.
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