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    BEDE - Biological and Environmental Data Education Network: Preparing Instructors to Integrate Data Science into Undergraduate Biology and Environmental Science Curricula (RCN-UBE Introduction)
    The Biological and Environmental Data Education Network (BEDE Network) develops and shares teacher-training workshops, curricular designs, teaching modules, and best practices to help integrate...
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    BEDE Network Data Science Skills Curriculum Map
    The Biological and Environmental Data Education (BEDE) Network has produced this data science skills curriculum map as a flexible tool to help instructors highlight data science skills that they...
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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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    Conducting Biodiversity Science in the 21st Century (Poster)
    A poster summarizing how museum resources can be used for conducting biodiversity science in the 21st century including in research, education and in increasing inclusivity and diversity in STEM.
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    Prioritizing your Data Science Curriculum
    This is the summary powerpoint of the Monday session at the BioQUEST / QUBES 2019 Summer Workshop including the description of the student data project on height change overnight.
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    2013-Clarke-Skirba-Rationale and resources for teaching the mathematical modeling of athletic training and performance
    It is advisable that the professionals involved learn the various tools available for designing effective training programs.
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    BIOME 2021 QSSI Lightning talk
    Our team, Quantitative Skills and Science Identity (QSSI), met in the fall of 2021 to discuss and develop a methodology to assess the effectiveness of Data Nugget/Scientist Spotlight activities. We...
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    UW Data Science for Social Good program
    The UW Data Science for Social Good (DSSG) program partners eScience Data Scientists and Student Fellows from across the country with Project Leads from academia, government, and the private sector...
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    Instructor Guide : Integrating Leadership Skills, Data Science, Artificial Intelligence, Simulation and Google Tools to learn Chemistry
    Scientific, leadership and recent artificial intelligence skills are integral frameworks of the curriculum. All of them together or individually can enhance knowledge, critical thinking and...
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    NEON Data in the Classroom: Using the QUBES Platform and Faculty Mentoring Networks to Build, Adapt, and Publish Data-Driven Open Educational Resources
    Poster on the NEON Faculty Mentoring Network presented at the 2019 BioQUEST & QUBES Summer Workshop
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    Data Science as a Superpower
    Presentation on data science education given at the 2019 BioQUEST & QUBES Summer Workshop
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    Genome Solver: Building faculty skills in bioinformatics
    Genome Solver (GS) began in 2011 as an NSF-funded project for faculty training in basic web-based bioinformatics skills.
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    R for biologists
    An introductory guide to data analysis in R for life sciences researchers.

    Keywords: R

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    The Science Senses
    This video introduces the common thread that runs through the Science Forward course: Sciences Sense.
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    Biobyte 1 - Where are we in the data science landscape?
    This short activity can be used to introduce the NAS Data Science For Undergraduates report's definition of data acumen and engage participants in a self assessment of how they connect with those...
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    Manuscript 101: A Data-Driven Writing Exercise for Beginning Scientists
    Learning to write a scientific manuscript is one of the most important and rewarding scientific training experiences, yet most young scientists only embark on this experience relatively late in...
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    Passion-Driven Statistics as a Course-Based Undergraduate Research Experience (CURE)
    Session presentation on passion-driven, project-based experience in statistics at the 2018 QUBES/BioQUEST Summer Workshop
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    Rescuing Data: Preserving Data for the Future
    Meet Diane Srivastava, director of the Canadian Institute for Ecology and Evolution, and learn how they sythesize and save biodiversity data.
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    Ethics in ecological forecasting: four case-based teaching modules
    Working with ecological data often involves ethical considerations, particularly when data are applied to address societal needs. However, data science ethics are rarely included as part of...
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    Developing Quantitative Skills Using HHMI BioInteractive Resources
    A workshop on using HHMI BioInteractive data activities to teach science content and quantitative skills
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