Between Dec 19, 2024 and Jan 2, 2025, datasets can be submitted to DRUM but will not be processed until after the break. Staff will not be available to answer email during this period, and will not be able to provide DOIs until after Jan 2. If you are in need of a DOI during this period, consider Dryad or OpenICPSR. Submission responses to the UDC may also be delayed during this time.
 

Black Lives Matter and the 2020 Elections

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

Black Lives Matter and the 2020 Elections

Published Date

2020-07-15

Publisher

Type

Audio

Abstract

Description

This event took place as a webinar. A video of the event can be found on the Humphrey School's YouTube at: https://www.youtube.com/watch?v=14sQyjq-7u4 The support of white Americans for the Black Lives Matter movement may contribute to the Democratic Party winning elections in November. Republicans disagree. They see an opportunity to use the remedies proposed by Black Lives Matter—especially the dismantling of police departments—to rally white voters. University of Minnesota political science professor Michael Minta leads a distinguished panel to sort out the implications of Black Lives Matter on the 2020 elections. Panelists include Ashley Jardina from Duke University, Christopher Parker from the University of Washington, and LaFleur Stephens-Dougan from Princeton University.

Related to

Replaces

License

Series/Report Number

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Other identifiers

Suggested citation

Minta, Michael; Jardina, Ashley; Parker, Christopher S.; LaFleur, Stephens-Dougan. (2020). Black Lives Matter and the 2020 Elections. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/214947.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.