Blog

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  • Find a video exploring this research on YouTube.

The rise and fall of network stars

May 23rd, 2019|

Michael Fire, previous eScience postdoctoral fellow, and Carlos Guestrin, senior data science fellow, have published a paper titled “The rise and fall of network stars: analyzing 2.5 million graphs to reveal how high-degree vertices emerge over time” in the Journal of Information Processing and Management.

Fire and Guestrin constructed the largest publicly available network evolution dataset […]

  • Gov. Inslee signs Engrossed Substitute Senate Bill No. 5600, May 9, 2019. Relating to residential tenant protections. Primary Sponsor: Patty Kuderer. Tim Thomas stands left of the Washington flag.

Evictions project impacts new state legislation

May 16th, 2019|

By Tim Thomas, Moore/Sloane Postdoctoral Fellow

On May 9th, Governor Jay Inslee signed Senate Bill 5600 into law which extends the evictions pay-or-vacate notice in Washington from three days to 14 days. The Washington Evictions Research Project (WAEV) provided groundbreaking empirical evidence for stakeholders and policymakers to use to get this legislation passed through the house […]

Submit your application to work with us as a data scientist

May 16th, 2019|

The eScience Institute at the University of Washington is seeking outstanding candidates for the position of Data Scientist. The ideal candidate will have expertise in one or more areas related to data science (machine learning, statistics, databases, large-scale data systems, visualization, and interfaces that facilitate large-scale data understanding), demonstrated experience in software engineering and open-source software, and […]

  • From left, photos of Zhen Han, Zahra Sharifnezhadazizi, and Katya Cherukumilli

Participants reflect on first Waterhackweek

April 30th, 2019|

The eScience Institute and the UW Freshwater Initiative co-hosted the first Waterhackweek, a five-day collaborative event for freshwater-related data science Mar. 25 – 29, 2019. We asked participants to give us their insight on the event, and three of them responded. Here are their thoughts.

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Zahra Sharifnezhadazizi, PhD candidate, Department of Civil and Environmental Engineering, The […]

  • Photos of Lauren Kuntz and Stuart Ian Graham

Reflections on the 2019 Winter Incubator program

April 24th, 2019|

With the results of our 2019 Winter Incubator program in, we offered participants the opportunity to weigh in on their experiences in this data science- intensive 10-week program. Two of them responded; here are their thoughts.

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Stuart Ian Graham, UW Biology Department

I had the invaluable experience of working with Dr. Ariel Rokem in the 2019 Winter […]

  • Participants in the 2019 Waterhackweek pose in front of Portage Bay. Photo, Robin Brooks, eScience Institute

eScience Institute, Freshwater Initiative host first Waterhackweek

April 22nd, 2019|

The first Waterhackweek, a five-day collaborative event for freshwater-related data science, was held at the University of Washington (UW) in partnership with the eScience Institute and the UW Freshwater Initiative Mar. 25 – 29, 2019. The event received funding from the National Science Foundation CyberTraining Program. Participants hailed from the UW and other U.S. universities, […]

  • Attendees of the 2018 MSDSE Annual Summit pose for a group shot. Photo, Robin Brooks, eScience Institute

Reflections on five years of the Moore-Sloan Data Science Environments

April 10th, 2019|

The Moore-Sloan Data Science Environments (MSDSE) program, established jointly by the Gordon and Betty Moore Foundation and the Alfred P. Sloan Foundation, was launched in 2014 to foster and enhance data-intensive discovery at academic institutions.  The program initially funded three data science environments for five years (recently extended for an additional two years): the eScience […]

  • Figure 1. Workflow for a ML algorithm implementation to derive snow-covered areas from Planet imagery

Team receives Earth science funding

March 7th, 2019|

A team of University of Washington (UW) researchers led by eScience research scientist Nicoleta Cristea has received Lab Incubator Project funding from Earth Science Information Partners (ESIP). The project is titled “Developing workflows for assessing high-resolution CubeSat imagery to infer detailed snow-covered areas for studying changes in ecosystems and water supply.”

The funding will help support the team’s objectives […]

  • Given examples of labeled images in a training data set (e.g., cats vs dogs) we can create neural networks to identify the probability of a new picture containing one using GPUs.

Deep Learning Institute held at eScience

February 28th, 2019|

On Feb. 22 the UW Research Computing team hosted a Deep Learning Institute (DLI) on using machine learning for computer vision at the eScience Institute. The DLI was attended by a diverse set of participants ranging from students at the undergraduate level through full professors from departments within engineering, business, and medicine.

DLI attendees learned the […]

  • The logo for the National Institutes of Health

Team receives NIH grant for Alzheimer’s disease research

February 27th, 2019|

Senior data science fellow Su-In Lee and collaborator Matt Kaeberlein have received a grant of just over $3 million from the National Institutes of Health for their project “Interpretable machine learning to identify Alzheimer’s disease therapeutic targets.” In the United States alone, someone receives an Alzheimer’s diagnosis every 66 seconds, and the disease has become the sixth leading […]