Computational Social Science Forum — Pushing for Police Transparency by Tracking Police Misconduct

CSS Training Program

March 29, 2021
12:00pm to 1:30pm
Virtual Participation

Register

Computational Social Science Forum
Date: Monday, March 29, 2021
Time: 12:00-1:30 PM Pacific Time
Location: Register to receive the schedule and access links.

Pushing for Police Transparency by Tracking Police Misconduct 

Speaker: Julie Ciccolini, Director of Law Enforcement Accountability, NACDL 
Abstract: As many recent high-profile cases of police misconduct in the United States have demonstrated, a singularly important, persistent, and corrosive problem throughout the nation’s criminal justice systems has been the lack of transparency and accountability when it comes to law enforcement misconduct.  Failure to expose law enforcement misconduct, excessive use of force, and abusive behavior contaminates the criminal legal systems.  It leaves the most abusive officers free to harm individuals and allows everyday police harassment and rights violations in communities to go unchecked.  In this forum, I will discuss the challenges to tracking police misconduct and barriers to accountability.  I will then showcase work being done to document and expose police misconduct and demonstrate how it kickstarts a cycle of reform. Read more about the NACDL's Full Disclosure Project.

The Computational Social Science Forum is an informal setting for the interdisciplinary exchange of ideas and scholarship at the intersection of social science and data science. Weekly meetings are hosted by researchers from BIDS and D-Lab, and participants engage in a variety of activities such as presentations of work in progress, discussions and critiques of recent papers, introductions to new tools and methods, discussions around ethics, fairness, inequality, and responsible conduct of research, as well as professional development. We welcome social scientists researchers with interests in data science methods and tools, and data scientists with applications or interests in public policy, social, behavioral, and health sciences. Participants include graduate students, postdocs, staff, and faculty, and members are encouraged to attend regularly in order to foster community around improving computational social science research, supporting the development and research of group members, and fostering new collaborations. This Forum is organized as part of the Computational Social Science Training Program, and interested UC Berkeley community members are invited to use this registration form to receive the schedule and access links. Please contact css-t32@berkeley.edu for more information.

Speaker(s)

Julie Ciccolini

Director of Law Enforcement Accountability, NACDL