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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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    Serenity now! Keep calm and do science with real data in the classroom
    Session presented at NABT 2018 in San Diego, CA
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    Professional development in quantitative biology and its relationship to promoting scholarly teaching
    Poster presented at Ecological Society of America Annual Conference 2017.
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    Making Change Sustainable: Network for Integrating Bioinformatics into Life Sciences Education (NIBLSE) Meeting Review
    The purpose of the meeting described in this review was to decide how best to ensure the sustainability of the Network for Integrating Bioinformatics into Life Science Education (NIBLSE; pronounced...
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    BioGraphI - Biologists and Graph Interpretation: Professional development for an online curriculum to foster data literacy and value diverse identities (RCN-UBE Introduction)
    Biologists and Graph Interpretation (BioGraphI) is an RCN of faculty who work collaboratively to increase student persistence in biology through improving representation of diverse scientists in...
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    Demography from "virtual cemeteries"
    This module is a modification of the Lanza module in TIEE Volume 8. Rather than requiring students to visit cemeteries outside of class, this modification has students collect data from online...
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    Interconnections in The Open Ecosystem
    Presentation on open education and open science given as the keynote address at the 2019 BioQUEST & QUBES Summer Workshop
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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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    STEM Inclusive Teaching Practices Webinar Series: Episode One
    Episode One is a conversation with Bryan Dewsbury (University of Rhode Island) one of the authors of the CBE-LSE Inclusive Pedagogy guide.
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    SCORE - Network for an Open and Accessible Biology Education: The promise of equity and the challenge of sustainability (RCU-UBE Introduction)
    The mission of the SCORE-UBE Network is to help our Network participants achieve their sustainability and broader impact goals by working together to amplify the value and reach of open education...
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    Modeling Crop Rotation with Discrete Mathematics
    The module develops discrete mathematics models that allow for creation of crop rotation schedules meeting a variety of needs.
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    Joel E. Greengiant Learns About Peas: From Nucleotides to Selection
    This case study follows purveyors of peas, Joel E. and Jolene Greengiant, as they learn about the origin, biochemistry, genetics and eventual artificial selection of sweet (wrinkled) peas, all in...
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    Reimagining professional development: Faculty mentoring networks as a model for connecting projects and teachers
    iDigBio webinar providing background on the QUBES project, examples of how faculty mentoring networks have made it possible for diverse educational programs to reach new audiences, and a framework...

    Keywords: webinar

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    Untitled QUBES Resource Draft (1)
    dvsvds
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    REMNet: Online Resources 5.3.19
    Video on online resources for studying microbiomes from the Research Experiences in Microbiomes Network
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    STEM Inclusive Teaching Practices Episode 3
    Episode 3 builds from Kelisa Wing's recent blog post calling for educators to hold themselves accountable for dismantling racial oppression.
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    Quantitative Evolutionary Biology on the QUBESHub
    Abstract for a presentation about QUBES given at the Evolution 2015 Conference Education Strand.

    Keywords: Evolution

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    Building Better groups in STEM Courses
    Formation of student groups that can work effectively together is challenging at best. Considerations include group size and formation (assigned or student choice) and how group members will be...
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    Datasets for Whitlock & Schluter's "The Analysis of Biological Data"
    Link to data sets used in The Analysis of Biological Data . All data are in CSV format.
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