The eScience Institute hosts a variety of hackweeks every year, which are designed to immerse participants in collaborative project work around a specific topic. Hackweeks try to blend elements of a hackathon, where participants work collaboratively in project teams, with tutorials on a variety of data science topics in an immersive and inclusive environment. eScience hackweeks provide a deep dive into an area of science with a focus on how data science methods and tools can be utilized to further research. For each hackweek, the program format evolves and is modified and adjusted to best suit the problem space and the user community. A great example of this process is the ICESat-2 Hackweek, which wrapped up earlier this year.
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.”Continue reading “Python for Humanities: an Intro for Researchers”
Continue reading “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.
Continue reading “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.
Food, memories and emotions are closely linked in our brains. A taste of something can transport you to another time and place, or maybe you avoid certain foods based on past experiences or connections. In addition to cooking, I also enjoy reading about cooking because everyone approaches it in different ways: through passion, survival, nostalgia, or luck. My friend taught a culinary writing course at Portland State University recently, and many of the food memoirs I read in 2021 are included in the course reading.
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.”Continue reading “Data Science Student Profiles: Bonnie Du”
Over the past year, the University of Washington and UW Medicine have been at the heart of the city of Seattle’s Covid-19 response: researchers studying social distancing and how the virus spreads on our communities, volunteers collecting and distributing supplies, clinical vaccine trials, and a partnership with the city to process over 2 million test samples at no cost to residents – all of which have helped Seattle maintain one of the lowest Covid-19 rates of major US cities. And with so many departments and teams working together, often involving clinical patient data, an adaptable and secure info-sharing system is absolutely necessary.Continue reading “Using Cloud Computing to Aid Seattle’s Covid Response”
At the University of Washington, eScience Data Science Fellow and Research Assistant Professor of Psychology Ariel Rokem and UW Data Science Postdoctoral Fellow Adam Richie-Halford have created a way for the general public to help an algorithm learn to read MRI scans. Fibr utilizes the vast dataset of the Healthy Brain Network to better understand how mental health disorders are first diagnosed in childhood and adolescence. But in order for the algorithm to differentiate between scans that show long-range fiber connections in the brain and those that don’t, it must first learn what to look for. Regardless of scientific training, anyone who wants to participate can view a short tutorial and start guiding Fibr towards new innovations in neuroscience and beyond.Continue reading “Help the Fibr Algorithm Learn to Read MRI Scans”
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.
Whatever grand plans I originally had about the books I was going to read in 2020 went entirely out the window about halfway through March, along with many other plans. I still tried to focus on authors who were Black, indigenous, immigrant, queer or part of other marginalized groups, but when the libraries unexpectedly closed, my reading options was suddenly limited to whatever I bought from my local bookstore or was already in the house. These 42 books span 81 years, from 1939 to 2020. Several of the books link to comparisons of the original texts and film adaptations.Continue reading “2020 Reading List”