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    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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    Understanding the Quantitative and Computational Skills of Incoming Biology Students
    Presentation given as part of a Minisymposium at BEER 2015.
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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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    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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    Bringing Real Ecological Data into the Classroom: DryadLab on QUBESHub
    Bringing Real Ecological Data into the Classroom: DryadLab on QUBESHub was presented at the annual meeting of the Association of College & University Biology Educators in 2016.
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    Modification to What do Trees Know about the Rain
    Use of the tree ring data vs. precipitation to discuss how trees respond to drought
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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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    How Many Salamanders are in the forest? Testing capture-recapture
    Collecting data on how populations respond to environmental change requires accurate estimates of population sizes. This activity explores one method for estimating population sizes across three...
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    DNA Subway Learning Resources
    DNA Subway is a NIBLSE Recommended resource. This is a collection of learning resources associated with DNA Subway.
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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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    Designing undergraduate biology curricula to teach skills and knowledge for data-intensive environmental research
    Poster presented at Ecological Society of America Annual Conference 2017.

    Keywords: data literacy

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