Video Data Analysis: The Use Case of Police Body Camera Footage and Systematic Social Observatioen

by College of Liberal Arts Student Services

Conf./Colloquium/Symposium

Thu, Feb 2, 2023

4 PM – 5:30 PM EST (GMT-5)

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Stan McKenzie Commons (LBR-1251)

1 Lomb Memorial Dr, Rochester, NY 14623, United States

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• Presenter:ÔÇ¿ John McCluskey, Professor in the Department of Criminal Justice
• Commentators:ÔÇ¿ Adrian Martin, Data Analyst in the Office of Business Intelligence, Rochester Police DepartmentÔÇ¿ and Gino
Fanelli, City Hall reporter at CITY News/WXXI and an RIT 2015 graduate (Journalism BS)

This semester's first McKenzie Salon, "Video Data Analysis: The Use Case of Police Body Camera Footage and Systematic Social Observation," explores questions regarding the error structure of body-worn video with respect to sampling, reliability of coding and coders, and considerations of ethical use and justice as new AI-based technologies develops innovative avenues for many areas of research.

The technique of video data analysis, often based on machine learning techniques, is gaining wider use with the availability of footage purposefully recorded by researchers or generated by devices such as cell phones, surveillance cameras, police body-worn video, and platforms such as YouTube. One focus area for video data analysis is understanding and improving police practice, and it is currently used to supplant the much more expensive methodology of in-person systematic social observation.

About the McKenzie Salon SeriesÔÇ¿:

Organized and presented by the College of Liberal Arts, the McKenzie Salon Series is open to the public and brings together faculty, students, and staff to discuss research and current events. The presentations and comments are followed by discussion with the audience and an informal reception.

Contact:
Corinna Schlombs
cxsgla@rit.edu
585-475-4211

Where

Stan McKenzie Commons (LBR-1251)

1 Lomb Memorial Dr, Rochester, NY 14623, United States

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College of Liberal Arts Student Services | Website | View More Events

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