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    RIOS Working Group - Debunking the Myth that Race is Biological
    This RIOS Working Group grant funding compensated Raritan Valley Community College (RVCC) students for creating curricular materials that could be used to debunk the myth that race is biological....
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    Box-of-Lessons Review, Fall 2022 - YouTube
    This video described the working group activities for BIOME Institute 2022 - Fall working group
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    BIOME Avida ED Report video - YouTube
    Avida-ED is a digital evolution software program that allows students to ask questions and test hypotheses related to evolutionary concepts. Our working group explored how to incorporate Avida-ED...
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    Are you teaching biostatistics with R? Suggestions to help you as work with your students.
    Teaching students how to code and analyze data in R is important for the fields of biology and ecology. Olivia Tabares and the Ecological Forecasting Education Working Group created this resource...
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    Phage Discovery Videos
    A compilation of videos to support teaching the concepts and protocols for discovering and working with phage.
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    BioTA Podcast Working Group Lightning Talk - YouTube
    This lightning talk outlines out work to develop a set of podcasts and in0class activities. The podcast episodes on metagenomics in general are available. Additional resources and additional...
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    Ungrading to Decentered Grading Lightning Talk 2021 - YouTube
    BIOME 2021 Ungrading Working Group Lightning Talk
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    Working with Datasets in R swirl
    The goal of this lesson is to learn how to import datasets into R, understand variable types, make adjustments to variables, perform basic calculations, and begin data visualization. The exercise...
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    Case Study: Genetic Variation and Speciation in the Black Tailed Rattlesnake complex (Crotalus molossus)
    It is important for biology students to understand how genetic variation is related to the formation of species in nature. This module is intended for students to obtain first hand experience with...
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    Communicating with Data: Infographic with Digital Data
    Working collaboratively in teams of 2-4 researchers, students engage in targeted projects to address critical information and research needs using digital biodiversity data.
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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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    Understanding 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.
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    A Scientist Spotlight Featuring Dr. Danielle Brown
    A Scientist Spotlight-style assignment designed to introduce students to themes of quantitative biology, field research, and diversity, equity, and inclusion in science. Includes Teaching Notes,...
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    Collaborative case writing and field testing with Molecular CaseNet brings together discipline specific expertise for innovative pedagogical tools in the classroom
    Molecular case studies (MCS) use an interesting story as a hook , followed by exploration of biochemistry of one or more molecules of interest.  They can be useful in teaching about macromolecule...
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    The Tactile Clade Race
    This adaptation of the Vertebrate Clade Race provides a tactile approach to introduce basic tree reading skills for evolutionary phylogenies. Using a Universal Design for Learning informed...
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    What is Data Science - Introduction to Data Science
    Data Science is the technology that goes behind handling and working with data in the 21st century. Data Science concepts have proved to be the pinnacle in the last couple of years with the onset...
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    Writing Clean Code in R Workshop
    When working with data, you often spend the most amount of time cleaning your data. Learn how to write more efficient code using the tidyverse in R.
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    REMNet Tutorial, R Part 5: Normalizing Microbiome Data in R 5.2.19
    Video on normalizing microbiome data from the Research Experiences in Microbiomes Network
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    Gaining familiarity with R and Work with NEON OS & IS data – Plant phenology & temperature - adaptation
    This adaptation introduces students to R and the NEON OS & IS data – Plant Phenology & Temperature tutorial. A planned extension will prompt students to develop a testable hypothesis, based on...
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    S-JEDI Learning Group Resource
    This resource provides a curriculum for a 6 week learning group centered on examining social justice, equity, diversity, and inclusion, specifically geared to organizational leaders in open...
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