Category: News

• eScience Winter Incubator Program spotlight

  

  By Robin Brooks For ten weeks over the winter 2017 quarter, the UW eScience Institute hosted its annual Winter Incubator Program, a collaborative intensive designed to connect data scientists from the Institute and domain scientists with the goal of fostering new research discoveries. Projects were selected from a pool of applications, and the work began…

• David Beck appointed associate director of DIRECT program

  

  By Robin Brooks David Beck, eScience senior data science fellow, director of research and life sciences, and research assistant professor in chemical engineering, has been promoted to associate director of the Data Intensive Research Enabling Clean Technologies (DIRECT) program. DIRECT, a UW Clean Energy Institute graduate training program in data-enabled discovery and design of advanced…

• eScience Institute co-hosts Transportation Data Challenge Launch Event

  

  By Robin Brooks The eScience Institute and the West Big Data Innovation Hub co-hosted the National Transportation Data Challenge Launch Event, held May 2 – 3, 2017. The event drew dozens of participants in-person at the WRF Data Science Studio and the Husky Union Building Lyceum, and more via online streaming, to learn about the…

• Cloud 101 Hands-On Immersion Workshop held

  

  By Rob Fatland UW Research Computing, in conjunction with the eScience Institute, held its first Cloud 101 Hands-On Immersion Workshop on April 4, 2017, at the Husky Union Building. There were 46 registered participants, including researchers, faculty and students from the main UW campus, as well as researchers from Fred Hutchinson Cancer Research Center and graduate…

• High Performance Computing Club receives grant

  

  By Robin Brooks The UW High Performance Computing Club has been awarded a $10,000 grant to provide student access to cloud computing. “Students can apply for cloud credit and learn how to take advantage of the cloud’s capacity for massive-scale computing as well as learning best practices for cost management and data security,” according to a release on…

• Poster and networking session success

  

  By Robin Brooks The UW Data Science Poster and Networking Session, hosted by the eScience Institute, was held on February 21, 2017, at the Mary Gates Commons. Over 50 students, postdoctoral candidates and researchers  representing more than 30 departments on campus presented posters. Topics ranged from tracking microbubbles to open data literacy to design technologies…

• Microsoft $1M gift for new UW, UBC urban data partnership

  

  By Robin Brooks The University of Washington and the University of British Columbia are partnering on a new collaboration called the Cascadia Urban Analytics Cooperative (CUAC), which will connect researchers, students and public stakeholders working on urban issues across the region. A $1 million donation from Microsoft will allow the two universities to work together using data…

• Data Science Environments partners publish reproducibility book

  

  By Robin Brooks Researchers from the UW’s eScience Institute, New York University Center for Data Science and Berkeley Institute for Data Science (BIDS) have authored a new book titled The Practice of Reproducible Research. Representatives from the three universities, all Moore-Sloan Data Science Environments partners, joined on January 27, 2017, at a symposium hosted by BIDS. There, speakers discussed…

• Fellow proposes critical analysis course

  

  By Robin Brooks Jevin West, data science fellow and assistant professor in the UW Information School, and Carl T. Bergstrom, professor of biology, have proposed a new course meant to develop critical analysis skills. Tentatively titled Calling Bull***t, the class aims to teach learners “how to think critically about the data and models that constitute evidence…

• Affiliate’s health startup receives $8.5 million in funding

  

  By Robin Brooks KenSci, a health data startup co-founded by Ankur Teredesai and Samir Manjure, has raised $8.5 million in a Series A investment round. The startup uses machine learning technology that “helps doctors predict who might get sick and how sick they might get, and take actions to help them before it happens.” (1)…