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January 2020


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Emily M Gibson <[log in to unmask]>
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Emily M Gibson <[log in to unmask]>
Thu, 9 Jan 2020 19:18:37 +0000
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Dear colleagues,

RRCHNM will be hosting a talk on Monday, March 23, at 1:15 p.m. by Robert Nelson of the Digital Scholarship Lab at the University of Richmond. Nelson and the DSL recently received the 2019 Roy Rosenzweig Prize, award by the AHA and RRCHNM, for American Panorama: An Atlas of United States History (https://secure-web.cisco.com/1VI90-XhKiz_l2vr4dYWJvkRKc8CY6hqyZt4GG7zfGnGg7_LCapBHdJ6seq33JgVa7qLfDdb0tV_le_UFYkBBnSOo5XgnRU1ahnVDZqs-r4l05GoLqSIlvH4brCJ8RuPEH7x1nwXC-8ZT8zOCRK6KKGG6NnkMIScTefKUOLKRGMs0x0h-FSGXejGZn30l--DTjMK4CPt8RdxoOOlfJ5aOxprTvrpnLdeh85Ra4dJMhJbTmq7tO2HICFWpuR0nUyJr9tYX2RlAOrp3vafowczhnFldepj4CC8A9xFGnRbdHz9QvOgSTlAse_H_awIivY0VbuVbgy9XbQxxzY_QKCL_RYkqaY9DCAaOSDU49Qu5OAjsOve__OBHTLwMJqHlGCvzTSkBa281ZWBoBLn3weuJ2A/https%3A%2F%2Fdsl.richmond.edu%2Fpanorama%2F%29. Rob will be speaking about their ongoing work on that project studying redlining. Please join us for this talk, and feel free to invite students and anyone else who might be interested.

Title: Reading Redlining: Beyond the HOLC Maps

Description: Since being created and released several years ago as part of the Mapping Inequality project (https://secure-web.cisco.com/1tFqfDBvuMadppW_YEXaQ0cP0nuCE5KgnU_C3mUKJ0INJludRRDSUF6hmhalYujungIu6rMPv0utdT1g8tBh-S5SVac1rs1lyujSfYxS7SEEHpVGxvU79p9p5-kYM4Lc7ibiNVOuxOwYtIOS5c9g4q1m_CNJpi29B7YM9xurbjHgF5hf3QjXLZ12akMqZ5OYE8RSvQklLJuoYlMhot3KgJ81o2vUWtP_ZIlsVhVDe6eVWWGA3PeZdPXKXK1wYy9L9af-B4nJLIDctxALaPW6haOgi-Qk68133kC-OkscIbcnaKSJBHD4jyN4f3CJbNRwvRfHbJ88Om8CydIr3LBVFbvrCf-QVB8NY-TFLyWBvHiZiLRrKyjPpWRn1nSjV5gI36d1YSH_gF7aW3vSV6pjvfA/https%3A%2F%2Fdsl.richmond.edu%2Fpanorama%2Fredlining%2F%29, the spatial data for the HOLC city survey program has been put to a wide variety of uses, from demonstrating the profound long-term impact of the redling maps on urban inequality to illustrating the correlations between Depression-era redlining and other registers of inequality today such as climate vulnerability, disparate health outcomes, and gerrymandering. Mapping Inequality has nearly completed a related dataset: transcriptions of the more than 7,000 area description surveys produced by HOLC. This presentation will explore what we learn about inequality, race, and real estate through computational text analysis and visualizations of the HOLC area descriptions.

Best wishes,