BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.4.5//EN TZID:America/Los_Angeles X-WR-TIMEZONE:America/Los_Angeles BEGIN:VEVENT UID:229@escience.washington.edu DTSTART:20241002T003000Z DTEND:20241002T012000Z DTSTAMP:20241002T204108Z URL:https://escience.washington.edu/events/uw-data-science-seminar-dssg-20 24/ SUMMARY:UW Data Science Seminar: Data Science for Social Good DESCRIPTION:\n\nPlease join us for a UW Data Science Seminar event on Tues day\, October 1st from 4:30 to 5:20 p.m. PDT. The seminar will feature two projects from this past summer's UW Data Science for Social Good program. \n\nThe seminar will be held in the Physics/Astronomy Auditorium (PAA)\, R oom A118 – campus map.\n\n \;\n\n"Investigating Transit Equity Thro ugh ORCA Fare Card Analysis"\n\nTeam Project Leads: Mark Hallenbeck\, [Ret ired] Director of the Washington State Transportation Center (TRAC)\, Univ ersity of Washington\, and Ryan Avery\, Deputy Director of the Washington State Transportation Center (TRAC)\, University of Washington.\nData Scie nce Mentor: Bryna Hazelton\, eScience Institute\, University of Washington \nStudent Fellows: Rebecca Hayes\, Himanshu Jaikumar Naidu\, Siman Ning\, Ishan Saksena\n\nAbstract:\n\nTransit service is a public good\, that is e ssential for improving access to opportunities\, especially transit-depend ent populations. Transit agencies typically lack knowledge about transit u sage patterns. Transit fare card data describes actual transit use. Analyz ing fare card data\, can help identify service gaps and inequities\, guidi ng improvements to enhance service quality\, increase ridership\, and redu ce environmental impacts.\n\nThis project analyzes fare card data from the ORCA system used in the Puget Sound region of Washington State. ORCA data \, which includes different fare card classes\, enables the analysis of tr ansit usage among priority groups\, such as people with low-income or disa bilities. By examining actual transit use of anonymized riders against geo graphic and demographic characteristics\, this project identifies where tr ansit system improvements need to be made to improve the quality of servic es being provided\, with emphasis on demographic populations most dependen t on transit.\n\n\n \;\n\n"Understanding Unsheltered Homelessness in K ing County: UW 2023 Seattle Area Homeless Count"\n\nTeam Project Lead: Zac h Almquist\, Associate Professor\, Department of Sociology\, University of Washington\nData Science Mentor: June Yang\, eScience Institute\, Univers ity of Washington\nStudent Fellows: Brooke Kaye\, Felix Jr. Appiah Kubi\, Jessica Robinson\, Rebecca Schachtman\n\nAbstract:\n\nThe US Department o f Housing and Urban Development released the 2023 Annual Homeless Assessme nt Report (AHAR) on December 15\, 2023. The report estimates that 653\,100 people in the U.S. experienced homelessness in 2023\, a 12% increase from 2022. This estimate comes from the Point-in-Time (PIT) count conducted on a single night in January over communities across the US. The PIT\, which is mandated by HUD every two years\, is composed of two key elements: (1) the emergency shelter report from administrative records and (2) the unsh eltered PIT count typically performed on a single night in January through volunteers walking around the community and tabulating how many people th ey see. This so-called “visual census” of unsheltered people experienc ing homelessness has a number of issues\, from methodology (people are und ercounted for a number of reasons) to ethics (people don’t get a voice i n how they are counted). In other words\, there is much room for improveme nt in understanding our unhoused neighbors.\n\nA team at UW led by Dr. Zac k Almquist has been working with the King County Regional Homelessness Aut hority since 2022 to improve the unsheltered PIT methodology and accompany ing demographic and needs assessment surveys. In 2022\, the University of Washington and KCRHA implemented a novel\, network-based method for counti ng the unsheltered people experiencing homelessness known as Respondent-Dr iven Sampling. That was followed by a larger pilot study conducted in 2023 \, resulting in a dataset containing rich network and demographic informat ion from 1\,100+ sheltered and unsheltered people.\n\nThis year’s DSSG p roject finalized the 2023 data set and conducted analyses to better unders tand the needs of people experiencing homelessness. The team produced data summaries\, policy reports\, and created an this website to host the find ings and describe the method for other communities to use. LOCATION:Physics/Astronomy Auditorium\, room A118\, Seattle\, WA\, X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Seattle\, WA\, ;X-APPLE-RAD IUS=100;X-TITLE=Physics/Astronomy Auditorium\, room A118:geo:0,0 END:VEVENT END:VCALENDAR