Robin

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About Robin Brooks

Communications Associate, eScience Institute
  • Training data for the object detection model

Social Good Summer Blog, issue seven

This summer series will highlight weekly blog posts from this year’s UW Data Science for Social Good Fellows.
“Parallel worlds of pangolin conservation and Data Science for Social Good” by Hyeon Jeong Kim, Data Science for Social Good Fellow

This summer I am working as a fellow in the Data Science for Social Good Program (DSSG) at the […]

August 15th, 2018|Categories: News|Tags: , |
  • Creating ground truth Data for objection detection

Social Good Summer Blog, issue six

This summer series will highlight weekly blog posts from this year’s UW Data Science for Social Good Fellows.
“Getting ground truth data through geospatial analysis” by Sean Chen, 2018 Data Science for Social Good (DSSG) Fellow
Introduction

It’s a much bandied about statistic, but it’s an important one: more than half of humanity’s 7 billion and counting people live […]

August 10th, 2018|Categories: News|Tags: , |
  • Fig 2: This figure recaps the solution we implemented which resulted in a layered architecture; we used AWS Lambda and AWS Database to process the data.

Blog: How to graduate with the cloud

By Anya Chaliotis, machine learning developer, Expeditors
Navigating higher education can be head spinning, especially in the senior year as graduation approaches.

I’d like to share my story of going back to school for a Master of Science degree at the University of Washington’s Information School, informally the iSchool. The iSchool offers many opportunities including a […]

August 8th, 2018|Categories: News|Tags: , , , , |
  • Some members of the Seattle Mobility Index Project pose with cans of water

Social Good Summer Blog, issue four

This summer series will highlight weekly blog posts from this year’s UW Data Science for Social Good Fellows.
“Machine learning can improve disaster response after hurricanes, but not alone” by Tessa Schneider, 2018 Data Science for Social Good Fellow
As fellows on the Disaster Damage Detection team (D-cubed) at the eScience Institute during the Data Science for Social […]

July 27th, 2018|Categories: News|Tags: , |
  • The Seattle Mobility Index Team takes a field trip to the Seattle Department of Transportation. (Darius Irani, third from right)

Social Good Summer Blog, issue three

This summer series will highlight weekly blog posts from this year’s UW Data Science for Social Good Fellows.
“Why data scientists should care about the social good” by Darius Irani, 2018 Data Science for Social Good Fellow

In the age of big data, insights from traditional domain fields are inspiring solutions to seemingly unrelated problems. I am a […]

July 20th, 2018|Categories: News|Tags: , |
  • Rebeca de Buen Kalman (right) and fellows work in the WRF Data Science Studio

Social Good Summer Blog, issue two

This summer series will highlight weekly blog posts from this year’s UW Data Science for Social Good Fellows.
“Learning to code and coding to learn”*, by Rebeca de Buen Kalman, 2018 Data Science for Social Good Fellow

This summer, I am a Student Fellow in the University of Washington’s Data Science for Social Good Program. I am working on the […]

July 12th, 2018|Categories: News|Tags: , |
  • Participants in the West Big Data Hub Data Carpentry workshop. Photo, Robin Brooks, eScience Institute

Extending data science training across the West

In partnership with the West Big Data Innovation Hub, the eScience Institute hosted a hands-on Data Carpentry Instructor Training Mar. 22 – 23 in the WRF Data Science Studio. Participant teams hailed from across the western region representing universities, government, and community organizations in Alaska, Montana, Colorado, Wyoming, Idaho, and California.

All have now been certified to […]

April 13th, 2018|Categories: News|Tags: |
  • Jenny Muilenberg presents at the UW Data Science Summit. Photo, Robin Brooks, eScience Institute

First UW Data Science Summit a success

By Robin Brooks
Over 200 students, faculty, staff, and community members attended the first annual UW Data Science Summit, a two-day conference hosted by the eScience Institute. The cross-disciplinary event, which was held on the Seattle campus, featured keynote speakers Emily Fox of the Paul G. Allen School of Computer Science & Engineering and the Department […]

April 12th, 2018|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: , |