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    Map Your Hazards! – Assessing Hazards, Vulnerability and Risk
    The Map Your Hazards module provides students an interactive mechanism to engage in place-based exploration of natural hazards, social vulnerability, risk and the factors that shape their...
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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
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    2015 Quantitative Biology Education Summit
    Abstract for a meeting, 2015 Quantitative Biology Education Summit.
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    The Effect of Instructor Communication on Student Perceptions of Mathematics in Biology
    Undergraduate research poster presented at the Undergraduate Research Symposium at the University of Pittsburgh in 2015.
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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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    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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    Calculus, Zombies, Community, and QUBES
    Presentation discussing approaches to determining the content and delivery structure for quantitative integration into the curriculum of foundational courses in both statistics and calculus for the...
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    A Framework for Teaching Modeling to Biologists
    Abstract for presentation at SIAM ED 2016 on modeling

    Keywords: modelingSIAM

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    A Framework for Modeling to Encourage Interdisciplinary Conversations
    Presentation given as part of a minisymposium at SIAM 2016 on interdisciplinary approaches to modeling.
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    Checking forks
    Fork, fork, fork, fork
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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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    Developing Open Source Plugins for the Educational Gateway QUBEShub: Expanding Community Reach and Building a Robust Open Education Resource Ecosystem
    We present work on development of (1) a component to record, track and display the multitude of partners and professional organizations involved in the QUBES mission, and (2) a component to bring...
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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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    Undergraduate data science: Biological connections and assessing impacts
    Presentation made by Lou Gross et al. as part of the "Bringing Research Data to the Ecology Classroom: Opportunities, Barriers, and Next Steps” Session at the Ecological Society of America...
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    Exploring the population dynamics of wintering bald eagles through long-term data
    This is an FMN participant modification of the TIEE module "Exploring the population dynamics of wintering bald eagles through long-term data" authored by Julie Beckstead, Alexandra N....
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    Wolf Sheep Predation Simulation Exercise
    This resource is an exercise to introduce students to agent-based modeling of biological systems through working with a simple existing model.
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    Exploring HIV Evolution
    In this activity you will study aspects of sequence evolution by working with a set of HIV sequence data from 15 different subjects (Markham, et al., 1998). You will first learn about the dataset,...
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    RNA-seq Analysis
    In this computer lab module, students learn how to process an RNA-seq data set to identify differentially expressed genes (DEGs). The samples for this data set were collected from yeast cells...
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