New Software Engineering Center to Accelerate Scientific Discovery at UW

Software engineering is vital to Seattle’s emergence as a tech leader driving a local climate of innovation. The new Scientific Software Engineering Center (SSEC) at UW’s eScience Institute will leverage local software engineering talent to advance scientific frontiers that will change the world around us and respond to the challenges that face humanity. The SSEC, […]

  • Photos of Lauren Kuntz and Stuart Ian Graham

Reflections on the 2019 Winter Incubator program

April 24, 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.


Stuart Ian Graham, UW Biology Department

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

April 24th, 2019|Categories: News|Tags: , , , |
  • By combining artificial and human intelligence to improve mountain flood prediction, researchers hope to facilitate a better understanding of floods in coastal Washington watersheds. During a November 2015 flood of the Skagit River near Sedro-Woolley, Wash., resident Greg Platt moves bicycles to higher ground. Photo credit: Skagit Valley Herald. The modeled flood shown was the largest most recent flood caused by an atmospheric river (AR) event in 2006. Snow and ice are critical natural reservoirs of water resources. Improved understanding is expected to improve management decisions, planning, climate impact assessment, flood & drought resiliency. Before the incubator, hydrologic modeling predications were reported with unknown uncertainty estimates. The work accomplished during the Winter Incubator resulted in a standard method for ensuring ergodic, optimal model behavior required to support hypothesis testing used in scientific decision making. Given the hours of model run time required, the computing demand could not have been possible without the help of UW IT Cloud Services and Amazon Web Services.

Reflections on the 2018 Winter Incubator program

Nineteen project leads, eScience data scientists, and researchers participated in this year’s Winter Incubator program, which focused on projects in hydrology, political science, astronomy, atmospheric science and neuroscience. The five teams met over the course of 10 weeks to develop their projects, and presented their results on Mar. 13, 2018 in the WRF Data Science […]

March 26th, 2018|Categories: News|Tags: , |
  • HERA, under construction in 2018

Observing the cosmic dawn

Have you ever wondered why the universe looks the way it does, with isolated galaxies loosely arranged like pearls on the cosmic web? The key to understanding the structure of the universe lies in finding out just how the universe formed after the Big Bang.

Immediately after the Big Bang, the universe was so small and hot […]

May 15th, 2018|Categories: Uncategorized|Tags: , |

Research Features


April 24th, 2018|Categories: Uncategorized|Tags: |
  • The R/V Thomas G. Thompson, one of the research vessel by the School of Oceanography at the University of Washington.

Shifts in marine microbial populations detected using statistical machine learning

Oceanography is currently witnessing a data explosion, with new instruments being deployed that collect high frequency, multi-parameter datasets, both remotely, with satellites, and in situ, with new instruments such as the SeaFlow cytometer. As a result, oceanographers have begun to use large-scale statistical machine learning tools to analyze these substantial datasets, thereby accelerating scientific discovery […]

  • Diffusion and feature analysis of nanoparticles in the brain. (a) Mean squared displacements of nanoparticle trajectories, (b) Heatmap of diffusion coefficients in a small section of a rat brain slice.

Winter 2018 Incubator projects

For an overview of the Incubator Program click here.






March 21st, 2018|Categories: Uncategorized|Tags: , |