Tag: Ariel Rokem

• SSEC Co-awarded NSF Grant for Open Source Workshop 

  

  The Scientific Software Engineering Center (SSEC) at the University of Washington has been co-awarded a grant from the National Science Foundation to host a workshop that will explore an open-source development model for public datasets. Data science tools and methods, including AI and machine learning, have the ability to accelerate scientific discovery in a wide…

• Modeling and Predicting Tree Growth with Data Science

  

  By: Louisa Gaylord 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…

• Help the Fibr Algorithm Learn to Read MRI Scans

  

  By: Louisa Gaylord The majority of mental health disorders are first diagnosed in childhood or adolescence. The disorders most commonly detected in young people include ADHD, anxiety, depression and behavior problems. Historically, individual labs and researchers interested in understanding the brain basis of mental health only had access to small amounts of data to analyze,…

• Reflecting on a Novel Year of Virtual Hackweeks

  

  By: Jane Koh In early March 2020, as the dimensions of the Covid-19 pandemic started to become clear, the Waterhackweek organizing team was only three weeks out from hosting its in-person event when they made the tough decision to postpone the hackweek until August. They joined several other hackweeks, all faced with the challenge of…

• NIH grant awarded to develop MRI analysis

  

  The National Institutes of Health have awarded the Diffusion MRI in Python (DIPY) project a three-year grant to facilitate the development of new methods for analysis of MRI data and dissemination of these methods through open source software. The grant, awarded through the Collaborative Research in Computational Neuroscience program, will fund a collaboration between researchers…

• Researchers receive five-year grant to study homelessness and education

  

  By Emily Keller The University of Washington (UW) eScience Institute has received a five-year, $754,601 grant from the Bill & Melinda Gates Foundation to advance data analytics at organizations serving the homeless in the Puget Sound region, with a focus on educational outcomes. Through this grant, researchers at the UW will collaborate with foundation grantees that…

• Neurohackweek: an international collaboration

  

  By Ariel Rokem, data scientist and Neurohackweek organizer Forty graduate students, postdocs, research staff and faculty took part in Neurohackweek 2017, including international attendees from Turkey, Russia, Canada, the United Kingdom and Denmark. The neuroscience conference, which ran Sept. 4 – 8, kicked off with a talk by Russ Poldrack (Stanford University) posing the problems of…

• eScience Institute hosts Neurohackweek

  

  By Robin Brooks More than 40 neuroscientists gathered at the University of Washington eScience Institute for the first-ever Neurohackweek, held Sept. 5 – 9. Inspired by AstroHackWeek and previous brainhack.org events, the week was part conference, part summer school (including tutorials on cloud computing with Amazon Web Services, image processing with open source tools, modeling…

• CrowdSensing Census: A heterogenous-based tools for estimating poverty

  

  Project Lead: Afra Mashhadi, Bell Labs, Nokia Data Scientist Leads: Ariel Rokem (primary) and Jake VanderPlas (secondary) DSSG Fellows: Rachael Dottle, Myeong Lee, Imam Subkhan & Carlos Espino Project Goals: Household surveys and censuses, periodically conducted by National Statistical Institutes and the like, collect information describing the social and economic well being of a nation, as well as…

• Nascent ImageXD event successful

  

  By Robin Brooks The University of California, Berkeley Institute for Data Science (BIDS) recently hosted the inaugural ImageXD event, a topical group focused on image processing. ImageXD offered a unique opportunity for researchers who use images as a primary source of data to gather together to collaborate, problem-solve, network and learn new skills. A breakout session…