Daniel Konikoff

PhD Candidate
CG222
416-946-5013
daniel.konikoff@mail.utoronto.ca

Fields of Study

  • Criminal Justice
  • Policing

Areas of Interest

  • Police technologies
  • Predictive justice
  • Big data surveillance
  • Social media and online social platforms
  • Algorithmic inequality 

Working Dissertation

Supervisors

Beatrice Jauregui

Biography

Daniel is a PhD student at the Centre for Criminology and Sociolegal Studies and a Graduate Fellow at the Schwartz Reisman Institute for Technology and Society. He is interested in the intersection of criminology and science and technology studies (STS), with an emphasis on police technologies, big data surveillance, and predictive justice. Daniel’s worked on a number of interdisciplinary projects on topics such as serial homicide, cannabis law, and the organizational behaviour of robbery teams. Prior to his PhD, Daniel volunteered for the John Howard Society’s Centre of Research, Policy & Program Development, where he assisted with projects on bail reform and police record checks.

Publications

“Big Data and Criminal Justice: What Canadians Need to Know” (2019). Broadbent Institute. https://www.broadbentinstitute.ca/big_data

Education

MA (Criminology), University of Toronto

Presentations

“Gatekeepers of Toxicity: Understanding Twitter’s Policies on Abuse and Hate Speech.” Law & Society Association’s Annual Meeting in Denver, CO (2020)
“Big data and privacy issues.” Canadian Bar Association’s webinar “Privacy in 2020: Is Big Data Endgame for Privacy Protections?” (October 30th, 2019)
Digital Oversight: How Social Media Users ‘Oversee’ Police Misconduct in North America.” Law & Society Association’s Annual Meeting in Washington, D.C. (2019)

Cohort

  • 2018