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    Bates College DCS 105 Calling Bull: Data Literacy and Information Science Course Slides
    Slides that accompany the Course DCS 105 Calling Bull: Data Literacy and Information Science from Bates College
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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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    21st Century STEM Workforce Skills
    This activity includes a leadership assessment and associated exercise to encourage the development of 21st Century STEM Skills.
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    Connecting Students to Citizen Science and Curated Collections
    This educational module utilizes the traditional plant collection experience to engage students with biodiversity data protocols and resources available in our information-rich digital age.
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    Exploring Coyote Morphology: Introduction to Research and Study Design
    This module is designed as a first foray for freshman-level (novice undergraduate) students into science literacy, research design, and use of museum resources in research activities. The module...
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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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    Communicating with Data: Digital Data Resources
    Students access, clean, configure, and standardize a dataset and create a relevant and scientifically valid data visualization to communicate science.
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    DCS 105 F24 Reading List Bates College
    The reading list for DCS 105 Calling Bull: Data Literacy and Information Science is curated to enhance students' understanding of misinformation and its impact on society.
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    Final Project for Calling Bull
    This is the final project for the calling bull course & it is to find 3 pieces of misinformation/BS and debunk them. They have to re-do at least one visualization, use R in at least one debunking,...
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    Introduction to Earth Data Science Textbook
    Introduction to Earth Data Science is an online textbook for anyone new to open reproducible science and the Python programming language. There are no prerequisites for this material, and no prior...
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    Scientists Offering Solutions through Sprints
    Our BIOME Fall Working Group, Scientists Offering Solutions through Sprints, explains the process of putting together a Science sprint in your community. A science sprint is a one-day event in...
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    Examining Medical and Scientific Racism Using the Story of Henrietta Lacks
    This is a semester-long project in which students read and discuss the story of Henrietta Lacks from multiple ethical perspectives. This project was developed for an undergraduate science ethics...
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    Creating a Deeper Understanding of Big Geospatial Data, Volunteered Geographic Information (VGI), and Community Science using Project Eddie Modules
    This module uses the Project Eddie Module Assessing the Risk of Invasive Species Using Community Science Data developed by Heard, M. J. (2023) to create a deeper understanding of big geospatial...
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    SARS-CoV-2: Understanding, Applying and Communicating Science
    The ability to integrate process of science training with necessary skills in applying and communicating core theories in biological science and biology quantification, has been brought into focus...
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    SARS-CoV-2: Understanding, Applying and Communicating Science
    The ability to integrate process of science training with necessary skills in applying and communicating core theories in biological science and biology quantification, has been brought into focus...
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    Earth Analytics in Python Course
    Earth analytics is an intermediate, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...
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    Earth Analytics in R Course
    Earth analytics is an advanced, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...
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    Earth Analytics Bootcamp Course
    The Earth Analytics Bootcamp is a three-week introductory-level course taught by instructors in Earth Lab and is a part of the Professional Certificate in Earth Data Analytics - Foundations at CU...
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    Global Temperature Change in the 21st Century
    This module was used as an introduction to the science of climate change, with the goal of detecting trends in temperature change providing motivation for later course material on climate...
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    Interactions between Water, Earth’s Surface, and Human Activity
    This two-week (~10-hour) module focuses on water and its importance to humans, both as a limited resource and in shaping Earth's surface.
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