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    Staying Alive: Extinction Risk: Introduction to Extinction and Extinction Bias
    Data driven curriculum module from Dryad Digital Repository
    1891

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    Exploring the Lotka-Volterra Competition Model using Two Species of Parasitoid Wasps
    Experiment included in Teaching Issues and Experiments in Ecology (TIEE) Volume 2
    1572

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    Investigating the footprint of climate change on phenology and ecological interactions in north-central North America
    Practice module included in Teaching Issues and Experiments in Ecology (TIEE) Volume 10
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    15

    adaptations

    Performing a Population Viability Analysis from Data Students Collect on a Local Plant
    Experiment included in Teaching Issues and Experiments in Ecology (TIEE) Volume 9
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    Integrating student research projects into mathematical biology courses
    Part of the 2015 SMB Minisymposium: Topics in Biomathematics Education
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    Modernizing Statistics Education via Biology Applications
    Part of the 2015 SMB Minisymposium: Topics in Biomathematics Education
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    Biometeorology of Asthma in South Florida: From Statistical Analysis to Mathematical Modeling
    Part of the 2015 SMB Minisymposium: Topics in Biomathematics Education
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    2015 Quantitative Biology Education Summit
    Abstract for a meeting, 2015 Quantitative Biology Education Summit.
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    A BioGraphy of Life: How Graph Theory Makes Mathematics Recognizable, Relevant, and Research-Rich in Biology Education
    Presentation given at the 2106 SIAM Conference on Applied Mathematics Education on graph theory.

    Keywords: graph theory

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    Introduction to Quantitative Biology - Fall 2014 Syllabus
    Syllabus for Introduction to Quantitative Biology taught at the College of William and Mary.

    Keywords: quant biosyllabus

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    AIMS- Analyzing Images to learn Mathematics and Statistics - studying leaf cutter ants to learn linear regression
    This is a teaching resource that uses fascinating images and videos of leaf cutter ants foraging in Panama to provide an engaging context for students to learn about mathematics and statistics.
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    Pre-Health Students' Attitudes towards the Relative Importance of Biology and Statistics for their Preparation for Professional School
    Undergraduate research poster presented at the Undergraduate Research Symposium at the University of Pittsburgh in 2015.
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    Using gross parasites to sneak even grosser equations into the introductory biology classroom
    This was an oral presentation at the 2015 Annual Meeting of the American Society of Parasitologists in Omaha, NE.
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    A collaborative approach to quantitative biology course reform: It's better than doing it all by yourself
    This is the abstract of an oral presentation given at the Society for Mathematical Biology Annual Meeting in Atlanta, GA in 2015.
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    QUBES: Building a community to promote undergraduate quantitative biology education
    This was a poster session at the 2015 Ecological Society of America meeting in Baltimore, MD.
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    Quantitative biology: how educators that "buy-in" demonstrate greater productivity in teaching scholarship
    Poster presented at the University of Pittsburgh undergraduate research symposium on the impact of buy-in on productivity in faculty mentoring networks.
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    The Impact of Diversity on Group Productivity Within Online Faculty Mentoring Networks (FMNs) of Educators
    Poster presented at the University of Pittsburgh undergraduate research symposium on the impact of diversity on productivity in faculty mentoring networks.
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    Faculty Mentoring Networks: A model for professional development in undergraduate quantitative biology education
    Presentation given at ESA 2016 on Faculty Mentoring Networks.
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    One species, two species, red species, lead species? Phylogenetics and species concepts with Plethodon salamanders
    This lab introduces students to species concepts and basic computer-based tree-building methods using published nuclear and mitochondrial sequence data for Plethodon salamanders.
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    Do urban yards serve as a refuge for native land snail species?
    This module contains a series of take-home activities to prepare students to analyze their own dataset collected in lab.
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