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        "time_start":"18:00:00",
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        "event_title":"Everything I Learned, I Learned in a Chinese Restaurant: Reflections on Heritage, Identity, and Intersectionality",
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        "combined_title":"Everything I Learned, I Learned in a Chinese Restaurant: Reflections on Heritage, Identity, and Intersectionality",
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        "description":"Join us for a special conversation with writer and filmmaker Curtis Chin as he discusses his memoir, Everything I Learned, I Learned in a Chinese Restaurant, and explores the complexities of intersectional identities. In honor of Asian American & Pacific Islander Heritage Month, Curtis will share his personal journey growing up in a Chinese-American family and how his experiences navigating multiple cultural worlds shaped his understanding of identity, belonging, and community.\r\n\r\nThrough storytelling, humor, and poignant reflections, Curtis will delve into the intersections of race, culture, and personal experience, shedding light on the diverse identities within the Asian-American community and beyond. This event invites all to reflect on their own intersections of identity and engage in a meaningful dialogue about how our individual and shared histories shape who we are today.\r\n\r\nDon't miss this opportunity to hear from one of the leading voices in AAPI storytelling and learn how embracing our differences enriches our collective experiences.\r\n\r\nMORE ASIAN AMERICAN & PACIFIC ISLANDER HERITAGE MONTH EVENTS\r\nhttps:\/\/mesa.umich.edu\/asian-american-pacific-islander-heritage-month\r\n\r\nMORE MESA EVENTS\r\nMESA events are open to all U-M students. Explore: https:\/\/mesa.umich.edu\/events-programs",
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        "location_name":"CCCB 0420",
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        "tags":["Asian Pacific Islander American Heritage Month","Sessions"],
        "website":"https:\/\/sessions.studentlife.umich.edu\/p\/track\/13991",
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    {
        "datetime_modified":"20250410T172031",
        "datetime_start":"20250410T180000",
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        "has_end_time":1,
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        "time_start":"18:00:00",
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        "event_title":"IPE International Minor End of Year Senior Celebration",
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        "event_title":"Labor, Machines, and Economic Growth: Will Workers Be  Needed in our AI Future",
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        "combined_title":"Labor, Machines, and Economic Growth: Will Workers Be  Needed in our AI Future: Betsey Stevenson (Professor of Public Policy, Gerald R Ford School of Public Policy and Professor of Economics, U-M College of Literature, Science, and the Arts)",
        "event_subtitle":"Betsey Stevenson (Professor of Public Policy, Gerald R Ford School of Public Policy and Professor of Economics, U-M College of Literature, Science, and the Arts)",
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        "description":"Abstract\r\nAI adoption is already changing how people work, with a growing number of companies adopting AI systems to handle an increasing number of tasks. How will human work evolve as AI adoption progresses and what will that mean for how people earn a living? How will it reshape how people find meaning and purpose in life? Will the winner-take-most economy of the past several decades continue, further increasing inequality, or will AI be the great equalizer? While many things remain unknown, economist Betsey Stevenson will take us through what we can learn from the past, what we are already seeing today, and what might be the best way forward for both income and human flourishing. \r\n\r\nBiography\r\nBetsey Stevenson is a professor of public policy and economics at the University of Michigan. She is also a faculty research associate at the National Bureau of Economic Research, a visiting associate professor of economics at the University of Sydney, a research fellow of the Centre for Economic Policy Research, a fellow of the Ifo Institute for Economic Research in Munich, and serves on the executive committee of the American Economic Association. She served as a member of the Council of Economic Advisers from 2013 to 2015 where she advised President Obama on social policy, labor market, and trade issues. She served as the chief economist of the U.S. Department of Labor from 2010 to 2011, advising the Secretary of Labor on labor policy and participating as the secretary\u2019s deputy to the White House economic team. She has held previous positions at Princeton University and at the University of Pennsylvania\u2019s Wharton School.\r\n\r\nDr. Stevenson is a labor economist who has published widely in leading economics journals about the labor market and the impact of public policies on outcomes both in the labor market and for families as they adjust to changing labor market opportunities. Her research explores women\u2019s labor market experiences, the economic forces shaping the modern family, and how these labor market experiences and economic forces on the family influence each other. She is a columnist for Bloomberg View, and her analysis of economic data and the economy are frequently covered in both print and television media.\r\n\r\nDr. Stevenson earned a BA in economics and mathematics from Wellesley College and an MA and PhD in economics from Harvard University.\r\n\r\nParking\/Accessibility Information\r\nThe closest public parking lot to East Hall is the Forest Avenue Parking Garage (650 S Forest Ave, Ann Arbor, MI 48104), which is a 5 minute (2 block\/0.2 mile) walk to the venue. Street parking near East Hall is very limited.\r\nFor guidance on directions, U-M faculty\/staff parking, and accessibility, please visit: https:\/\/maps.studentlife.umich.edu\/building\/east-hall.\r\n\r\nPlease reach out to Ben Surgalski (surgalsb@umich.edu), MIDAS project manager, with any questions.",
        "occurrence_notes":"Parking\/Accessibility Information The closest public parking lot to East Hall is the Forest Avenue Parking Garage (650 S Forest Ave, Ann Arbor, MI 48104), which is a 5 minute (2 block\/0.2 mile) walk to the venue. Street parking near East Hall is very limited.  For guidance on directions, U-M faculty\/staff parking, and accessibility, please visit: https:\/\/maps.studentlife.umich.edu\/building\/east-hall",
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        "room":"Room 1324",
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        "tags":["Ai","Ai In Science And Engineering","Artificial Intelligence","Career","Data","Data Science","Economics","Free","Genai","Information and Technology","Interdisciplinary","Lecture","Lifelong Learning","Policy","Professional Development","Public Policy","Research","Researchers","Social Sciences","Talk","technology","Training","u-m office of research"],
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