Date/Time

Date(s) - 10/12/2021
4:30 pm - 5:20 pm

Please use this zoom link for the event.

Please join us for a UW Data Science Seminar event on Tuesday, October 12th from 4:30 to 5:20 p.m. The seminar will feature the 2021 Data Science for Social Good student fellows as they discuss their two projects and answer questions.

“Geography, Equity, and the Seattle $15 Minimum Wage Ordinance” 

Abstract: This project explores the impacts of Seattle’s $15 minimum wage ordinance on low-wage workers in the context of the city’s coinciding tech boom and growth in wealth. The team looked at data before and after the law took effect in 2015 to identify trends in the geographic distribution of workers in the Puget Sound region. They defined low-wage workers as those making twice the minimum wage, and estimated commuting distances using midpoint census tract locations corresponding to home and work addresses to protect privacy.

“Using Ensemble Methods for Computational Redistricting” 

Abstract: This project informs the state-based congressional redistricting process that occurs every 10 years, and is currently underway, to reflect changes in the U.S. Census. The team created a stakeholder guide to make the computational redistricting tool GerryChain more accessible to citizen groups, activists, and non-partisan map-drawing commissions. The guide can be used to monitor maps produced by redistricting committees for potential gerrymandering, or the strategic manipulation of electoral districts to benefit partisan or racial groups.

The UW Data Science Seminar is an annual lecture series at the University of Washington that hosts scholars working across applied areas of data science, such as the sciences, engineering, humanities and arts along with methodological areas in data science, such as computer science, applied math and statistics. Our presenters come from all domain fields and include occasional external speakers from regional partners, governmental agencies and industry.

The 2021-2022 seminars will be hybrid virtual and in-person events, and are free and open to the public.