Winter Incubator

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  • 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: , |
  • 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: , |
  • Dr. Nicholas Reder at the 2017 Incubator Program midterm presentations

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 in […]

May 12th, 2017|Categories: News|Tags: , , , |
  • A photo of the first cohort of data science Masters degree students

eScience Institute 2016 highlights

By Robin Brooks

As 2016 draws to a close, we wanted to take a moment to share some of the exciting milestones the eScience Institute hit over the course of the past year. Over 2400 attendees participated in hundreds of data science events, trainings, seminars, working groups and receptions from Nov. 1, 2015 through Oct. 31, […]

January 3rd, 2017|Categories: News|Tags: , , , , |