Help the Fibr Algorithm Learn to Read MRI Scans

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.

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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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I’m Going to Party Like it’s 1999

Recently, I stumbled across an old Facebook post from May that said: “New apartment doesn’t have internet yet. Call or text like a regular human being during the evenings.” Well, eight months later and my apartment still doesn’t have internet. And that’s okay. I’m not using this as an excuse why I haven’t updated in a while. I still use the internet every day, mostly for work. But there is no more daily Netflix in my life, no mindless surfing the web or drunken Amazon impulse buys. I don’t think I’m better or more “authentic” than others. I just think the responses I get from people when they find out says a lot about our always-connected culture, especially in the tech Mecca of Seattle.

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