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    Expanding the pipeline: Engaging urban secondary school and college students in science and the environment
    This speed talk will describe three education projects that engage urban minority students in science and the environment.
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    UW Data Science for Social Good program
    The UW Data Science for Social Good (DSSG) program partners eScience Data Scientists and Student Fellows from across the country with Project Leads from academia, government, and the private sector...
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    NIBLSE Incubators: A community-based model for the development of bioinformatics learning resources
    Presentation given at GLBIO 2019 on NIBLSE Incubators
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    Changing Faculty Practice: Promoting the Scholarship of Teaching with Faculty Mentoring Networks
    Poster presented at Transforming STEM Higher Education: Confirming the Authority of Evidence, AAC&U 2018
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    Antibody Binding
    This module introduces the Scatchard equation in the context of understanding antigen binding and the properties of antigens. It is intended for an introductory biology audience.
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    Chemoreception
    This module introduces the probability of cell and molecule collisions in the context of understanding chemoreception. It is intended for an introductory biology audience.
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    Hardy-Weinberg Equilibrium
    This module introduces the Hardy-Weinberg model in the context of understanding the population's genotype and allele frequencies. 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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    Muscle Contraction
    This module introduces equations around muscle force in the context of understanding the Sliding Filament Model. 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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    Plant Cell Expansion and Plant Hormones
    This module introduces the cell enlargement model in the context of understanding plant hormones' effects. It is intended for an introductory biology audience.
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    Predator-Prey Dynamics: the Lotka-Volterra Model
    This module introduces the Lotka-Volterra model in the context of understanding how predator and prey interact. It is intended for an introductory biology audience.
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    Type I Functional Response
    This module introduces the type I functional response in the context of understanding the relationship between an individual's rate of consumption and food density. It is intended for an...
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    Type II Functional Response: Holling’s Disk Equation
    This module introduces the Holling’s disk equation in the context of understanding the relationship between an individual's rate of consumption and food density. It is intended for an introductory...
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    Agent-Based Modeling Course Materials
    Materials created for an upper level ABM course. Prerequisite: Students have taken either (a) another modeling course, or (b) the introductory computer science sequence.
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    Two-Way ANOVA
    In this lesson, students will learn the necessary statistical terms to understand two-way ANOVA, how to visualize their data, how to perform two-way ANOVA and interpret their results, and how to...
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    Investigating Determinants of Richness in Ephemeral and Permanent Wetlands Using Linear Models in Shiny
    This resource seeks to provide a quantitative platform by which students can be taught about interactive effects using the TIEE module created by Little (2018). Key to the adaptation is the use of...
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    Modeling Trophic Interactions in Rice Agriculture: A Jigsaw Approach
    Students explore four different issues related to trophic interactions that affect modern rice agriculture practices and consider relationships between these issues using Lotka and Volterra...
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    Discrete Modeling and Structures (Course Materials)
    These are the materials for DCS course offered at Bates College. This is a sampler of structures and ways they are used to model biological and social phenomena.
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    A Hands-on Introduction to Hidden Markov Models
    A lesson in which students will understand the basic structure of an HMM, the types of data used in ab initio gene prediction, and its consequent limitations.
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