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Subject: [IMLS Webinar #6] Data Quality: Evolving Employer Expectations on June 29, 2023 [IMLS National Forum Webinar Session #6] Data Quality: Evolving Employer Expectations<https://sites.google.com/view/imls2022-data-quality/sessions/6-data-quality-evolving-employer-expectations> Thursday June 29, 2023 2:00-3:30 PM EDT; 1:00-2:30 PM CDT; 12:00-1:30 PM MDT; 11:00 AM-12:30 PM PDT What data skills and knowledge do employers expect when recruiting? How can we help our students and researchers acquire those skills? How does artificial intelligence (AI) impact data quality, and can technological advancements alone solve data quality issues? A panel from academia and industry – Jack Goetz (Meta Platforms), David Rothschild (Microsoft) and Rujuta Umarji (ICPSR) – will lead a lively discussion. Register Here!<https://stanford.zoom.us/webinar/register/7916856520799/WN_AiNqsvuzRSapkA2zFSV7jQ> This is the sixth webinar of the 7 National Forum Series in Building Capacity of Academic Librarians in Evaluating Data Quality. This project is organized by West Chester University, Stanford University, and the University of Illinois at Urbana-Champaign and is made possible in part by the Institute of Museum and Library Services (RE-252357-OLS-22). Find future webinars and project details at https://sites.google.com/view/imls2022-data-quality/ The past sessions have been recorded<https://sites.google.com/view/imls2022-data-quality/sessions> and are available on the project website.