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        "event_title":"Disability Visibility in Engineering Symposium",
        "occurrence_title":"Disability Visibility Symposium Part II (In-Person)",
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        "description":"This symposium will highlight how engineering research and education is working to improve accessibility for people who identify as having a disability. We would love for you to attend the symposium and participate in the discussion about how we can all work to improve accessibility in classrooms, research environments, and our careers.\u00a0\r\nThis event is sponsored by the Michigan Engineering Office of Culture, Community and Equity; Michigan Engineering Office of Student Affairs; CEW+ Irma M. Wyman Fund; Engineering Student Government; Student Accessibility and Accommodation Services; and Student Life DEI. CART funding is provided by the Equity, Civil Rights, & Title IX Office (ECRT).Accessibility InformationPresenters will speak with microphones and CART will be provided for in-person and remote audiences.\u00a0We welcome masking and testing for COVID-19 prior to attending the symposium in-person to help protect participants who are immunocompromised or have an increased situational risk. Medical masks and hand sanitizer will be provided in-person.We encourage in-person attendees to refrain from wearing strong fragrances to be respectful of those with environmental sensitivities or allergies.Additional accessibility, transportation, and event information can be found at this document.\u00a0",
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        "event_title":"Disability Visibility in Engineering Symposium",
        "occurrence_title":"Disability Visibility Symposium Part II (Virtual)",
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        "event_title":"Multidimensional Screening with Rich Consumer Data (with Mira Frick and Yuhta Ishii)",
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        "event_subtitle":"Ryota Iijima, Yale University",
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        "description":"We study multi-good sales by a seller who has access to rich data about a buyer\u2019s valuations for the goods. Optimal mechanisms in such multi-dimensional screening problems are known to in general be complicated and not resemble mechanisms observed in practice. Thus, we instead analyze the optimal convergence rate of the seller\u2019s revenue to the first-best revenue as the amount of data grows large. Our main result provides a rationale for a simple and widely used class of mechanisms\u2014(pure) bundling\u2014by showing that these mechanisms allow the seller to achieve the optimal convergence rate. In contrast, we find that another simple class of mechanisms\u2014separate sales\u2014yields a suboptimal convergence rate to the first-best and thus is outperformed by bundling whenever the seller has sufficiently precise information about consumers.\r\n\r\nThis talk is presented by the Economic Theory Seminar, sponsored by the Department of Economics with generous gifts given through the Mark Harms Fund and the Economics Strategic Fund.",
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        "event_title":"Navigating the U.S. Job Search for International Students",
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