BEGIN:VCALENDAR VERSION:2.0 PRODID:researchseminars.org CALSCALE:GREGORIAN X-WR-CALNAME:researchseminars.org BEGIN:VEVENT SUMMARY:Bailey Passmore DTSTART:20250428T213000Z DTEND:20250428T223000Z DTSTAMP:20260506T225534Z UID:MathandDemoc/26 DESCRIPTION:Title: Public data & human rights\nby Bailey Passmore as part of NYU CD S Math and Democracy Seminar\n\n\nAbstract\nFor the last 30 years\, the Hu man Rights Data Analysis Group (HRDAG) has been using statistics and data science to support human rights advocacy campaigns around the world. While our international work typically involves casualty counts and using advan ced statistical techniques to estimate undocumented victims\, our U.S. wor k often involves using public data to report human rights violations exper ienced by those who are still living. Now\, the California Racial Justice Act of 2020 has opened up even more opportunities for us to contribute to campaigns for racial justice\, particularly for those affected by racial b ias in criminal legal proceedings. Since early 2024\, HRDAG has been colla borating with public defenders to provide support for RJA claims for their clients. This led to our first time providing expert testimony in a U.S. courtroom in February 2025\, when we presented and defended 3 simple stati stics based on the District Attorney's case data and county census data. B ailey will discuss the model HRDAG uses for obtaining and analyzing public data to address local human rights concerns\, as well as their experience working on an RJA case.\n\nBio: Bailey Passmore has been a data scientist at the Human Rights Data Analysis Group (“HRDAG”) since January 2022. While at HRDAG\, they have designed reproducible and transparent data pro cessing streams that include a variety of tasks\, such as scraping data fr om public transparency platforms\, extracting structured data from unstruc tured document collections\, extracting key information from text data usi ng LLMs\, database deduplication and entity resolution\, version resolutio n\, and producing statistical analyses that speak to patterns of racial bi as. Prior to their position at HRDAG\, Bailey worked as an undergraduate D ata Science and Research Consultant for the San Diego Supercomputer Center \, where they mined\, cleaned\, and analyzed system performance data and p repared the findings for the Practice and Experience in Advanced Research Computing (PEARC) conferences. Bailey graduated from the University of Cal ifornia\, San Diego with a bachelor of science degree in Cognitive Science \, after transferring with a background in Mathematics and Computer Scienc e.\n LOCATION:https://researchseminars.org/talk/MathandDemoc/26/ END:VEVENT END:VCALENDAR