![]() Finally, the team met with the founder of the Standard, Dr. They also met with a special grants project manager for the Workforce Development Council of Seattle-King County, which uses the Standard in their Calculator tool that provides financial counseling to customers, and evaluates customer outcomes such as measuring the number of people who reached self-sufficiency by gender, age, race and ethnicity. The team met with a research director at the Colorado Center on Law and Policy that uses the Standard to help Coloradans working in low wage jobs receive better wages, and support employment through child-care assistance and refundable tax credits. The DSSG program incorporates stakeholder perspectives through direct meetings early in the program. The project team includes four student fellows from universities around the country, a data scientist at the eScience Institute, and the project co-leads Annie Kucklick, Research Coordinator, and Lisa Manzer, Director of the Center for Women’s Welfare. The project “Exploring New Understandings of the Cost of Living at a Basic Needs Level Using the Self-Sufficiency Standard Database” is one of four projects hosted this year by the eScience Institute. ![]() The DSSG program brings together students, stakeholders, data scientists and domain researchers to work on project teams for a 10-week period. The Standard provides an alternative to the Official Poverty Measure that is currently used to calculate eligibility for benefits such as housing subsidies and food assistance across the U.S. The project is centered on designing and testing a database for the Self-Sufficiency Standard, a project of the Center for Women’s Welfare at the UW School of Social Work that determines the income level required for working families to meet their minimum basic needs, based on family composition, children’s ages, and geographic differences in the cost of living. to provide researchers and policy makers with an expanded breadth of opportunities for analyzing complex information in new ways. ![]() An interdisciplinary team at the University of Washington (UW) Data Science for Social Good (DSSG) program is laying the groundwork for the integration of multi-sourced data from across the U.S. Determining the income level that working families need to meet their basic needs requires a dynamic approach. ![]()
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