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        "event_title":"CoderSpaces - Tuesdays",
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        "combined_title":"CoderSpaces - Tuesdays: weekly data science hubs",
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        "occurrence_notes":"Please sign in with your U-M Zoom account (SSO) to access the meeting room.",
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        "tags":["Artificial Intelligence","High Performance Computing","Great Lakes Cluster","Data Science","Data Management","Data Linkage","Data Curation","Data Collection","Data Analysis","Data","Ai","Machine Learning","Social Science","Social Sciences","Statistics"],
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        "has_end_time":1,
        "date_start":"2026-10-13",
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        "time_start":"11:00:00",
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        "time_zone":"America\/Detroit",
        "event_title":"Engineering Career Cafe featuring Salesforce",
        "occurrence_title":"",
        "combined_title":"Engineering Career Cafe featuring Salesforce",
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        "event_type":"Careers \/ Jobs",
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        "description":"Saleforce is hosting a Career Cafe event on October 13 to recruit for open positions and network with candidates for future opportunities. Meet with company representatives in a casual setting to explore different career paths, learn about various employment opportunities, and when appropriate, present yourself as a candidate for open positions.\n\nStudents may drop in throughout the event to speak with company representatives, pre-registration is not needed for this event.\n\nView more information in Career Forge or Career Fair Plus.\n\nThis is a College of Engineering event.",
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        "room":"2nd Fl",
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        "tags":["Graduate Students","Undergraduate Students","Michigan Engineering","Career"],
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        "combined_title":"Births, Aging, and Migration: How Demographics and Demand Drive Growth in the US Housing Price: Neil Christy, University of Michigan",
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        "description":"The real price of housing in the US increased 60.4% from 1980 to 2019. Over this same period, the population grew 45%, and its composition changed as birth rates fell, people lived longer, and migration patterns shifted. I quantify the effects of these demographic changes on the real price of housing in a dynamic, general equilibrium model. I adapt a standard, state-of-the-art incomplete markets model to include time-varying demographics, which I calibrate to exactly match a series of empirical population measures from 1980 to 2019. The model indicates that demographic changes can account for 49.6% of the measured increase in the real price of housing. The effects of demographic change in the model are born mostly by younger households: in 2019, older households achieve a similar standard of living as older households in 1980, while younger households own and consume less than their 1980 counterparts. Using counterfactual demographic evolutions, I separately quantify the effects of changes in three demographic channels\u2014births, aging, and migration\u2014since 1980. Holding births constant at their 1980 level, I find that the real price of housing rises an additional 10.2 percentage points; counterfactuals with constant aging and migration processes produce less price growth than the baseline.",
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