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Urban Data Science @ UW

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“It’s a great time to be a data geek.”-- Roger Barga, Microsoft Research

“The greatest minds of my generation are trying to figure out how to make people click on ads”

-- Jeff Hammerbacher, co-founder, Cloudera

The Fourth Paradigm

1. Empirical + experimental2. Theoretical3. Computational4. Data-Intensive

Jim Gray

04/15/2023 Bill Howe, UW 3

“All across our campus, the process of discovery will increasingly rely on researchers’ ability to extract knowledge from vast amounts of data… In order to remain at the forefront, UW must be a leader in advancing these techniques and technologies, and in making [them] accessible to researchers in the broadest imaginable range of fields.”

2005-2008

In other words: • Data-driven discovery will be ubiquitous • UW must be a leader in inventing the

capabilities • UW must be a leader in translational

activities – in putting these capabilities to work

• It’s about intellectual infrastructure (human capital) and software infrastructure (shared tools and services – digital capital)

A 5-year, US$37.8 million cross-institutional collaboration to create a data science environment

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2014

04/15/2023 7Bill Howe, UW

Data Science Kickoff Session:137 posters from 30+ departments and units

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PIs on Moore/Sloan effort

+ eScience Institute Steering Committee

+ UW participants in February 7 Data Science poster session

Broad collaborations

Establish a virtuous cycle

• 6 working groups, each with • 3-6 faculty from each institution

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Assessing Community Well-BeingThird-Place Technologies

Optimization of King County Metro ParatransitComputer Science & Engineering

Predictors of Permanent Housing for Homeless FamiliesBill and Melinda Gates Foundation

Open Sidewalk Graph for Accessible Trip PlanningElectrical Engineering

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1. Form a City/University collaboration within their respective community memorialized in a Memorandum of Understanding;

2. Appoint a representative from each partner responsible for maintaining the collaboration;

3. Through the collaboration, identify and undertake at least three research, development and deployment projects within the coming year (by May 2016);

4. Participate as a founding member of the Metro Lab Network through workshops and other knowledge sharing activities (see Metro Lab Network SUMMARY).

Seattle crime map using open data, UW EE ugrad

Jay Feng

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Charlie Catlett

OneBusAway:Transit Traveler Information Systems

Alan BorningDept of Computer Science and EngineeringUniversity of Washington

Design Use Build – University of Washington

University of Washington

University of Washington

Usage

Started as a grad student project by Brian Ferris and Kari Watkins; became their PhD dissertations

Over 100,000 unique weekly users in Puget Sound

Deployments in Atlanta, Tampa, versions in New York and Detroit; experimental deployment in Washington DC

Goal: OneBusAway Foundation to provide long-term stability and support

University of Washington18