Python for Humanities: an Intro for Researchers

The eScience Institute and UW Libraries Open Scholarship Commons recently co-hosted a workshop called “Python, your personal research assistant” for participants studying the humanities to explore the Python programming language and how to use it as a tool to aid in qualitative humanities work. Led by eScience Technical Education Specialist Naomi Alterman, the program encouraged students to decipher lines of Python, and learn how to make use of it to complete repetitive tasks. “I’m expecting folks to show up to the workshop with no experience with computer code,” Naomi Alterman said. “And I want them to leave with a suitable argument as to why it’s useful for them in the future.”

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Mapping Fungal Relationships in Trees

Korena Mafune is a 2021 Washington Research Foundation postdoctoral fellow in the University of Washington’s Department of Civil and Environmental Engineering, where she studies the symbiotic interactions among plants, fungi, and bacteria. She received her PhD from UW’s School of Environmental and Forest Sciences, where she studied the root-associated fungal communities of old-growth bigleaf maple trees in Washington’s Queets and Hoh temperate rainforests. These trees accumulate layers of leaves and other organic matter on their canopy branches, which decay over time and produce a thick mat of organic soil high above the forest floor. Bigleaf maple trees have the capability to grow extensive adventitious rooting networks into these canopy soils which associate with fungal communities that thrive in the damp Pacific Northwest forests; some of these fungal associates attach to the roots and expand their fungal network outwards to aid the tree in taking up plant nutrients like nitrogen and phosphorus which the trees rooting system may not be able to reach on its own.

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Modeling & Predicting Tree Growth with Data Science


Stuart Ian Graham is a graduate student in the University of Washington’s Biology program who recently published a paper with Senior Data Science Fellow and eScience Institute Research Scientist Ariel Rokem, along with others from the University of Washington, Université de Montpellier, and University of California Los Angeles. The paper, published in the Forests journal and titled “Regularized Regression: A New Tool for Investigating and Predicting Tree Growth,” initially grew from a 2019 Winter Incubator project at eScience, which paired Graham and Rokem together to utilize data science to explore how neighboring tree species can influence one another’s growth rates in Mt. Rainier National Park in Washington State.

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Data Science Student Profiles: Stefan de Villiers


The University of Washington hosted the Data Science Minor Showcase several weeks ago, an event for undergraduates to explore the curriculum offered as part of the Data Science Minor program that was launched in Fall 2020. The showcase featured UW faculty outlining the new courses they have developed for the Minor, personal experiences from students who are currently enrolled in the minor, as well as smaller breakout sessions for participants to learn more about possible pathways towards data science from their areas of interest. One of the students who shared their experience with the Data Science Minor program was Stefan de Villiers, a UW senior who is majoring in Economics in addition to minoring in both Data Science and Mathematics.

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Data Science Student Profiles: Bonnie Du

The University of Washington’s Data Science Minor brings data science to a wide range of undergraduates within and beyond the STEM fields. 186 students are currently enrolled in the new minor, representing 54 areas of study at the university. UW undergrads interested in gaining literacy in data science methods and understanding their implications for society should look into adding a Data Science Minor to their studies. Ben Marwick, Senior Data Science Fellow and Director of the Data Science minor, described how the program will balance data skills and studies: “The goal is to combine the technical skills that relate to the new developments of generating and analyzing large amounts of data, then give students the context and the critical thinking skills to do something meaningful with that.”

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Using Data Science to Track Marine Heatwaves

The University of Washington’s School of Oceanography Professor LuAnne Thompson and recent PhD graduate Hillary Scannell are leading a team that uses data science to track and predict marine heatwaves (MHW). These extreme hot-water events have had dramatic ecological impacts and have led to widespread toxic algal blooms, habitat degradation, and loss in commercially valuable fisheries.

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