17 Oct
13 nov

Screening Surveillance

(2019 - 2022)

13 Nov (Sun 日)

Screening Surveillance is a short film series that uses near future fiction storytelling based on research to highlight potential social and privacy issues that arise as a result of big data surveillance.





#tresdancing features a young person who has little choice but to use increasingly invasive educational technology to make up for a failing grade.


Written by 故事: Tim Maughan and sava saheli singh
Produced by 製作: Lesley Marshall and sava saheli singh
Directed 導演:by HingmanLeung



Blaxites follows the story of a young woman whose celebratory social media post affects her access to vital medication. Her attempts to circumvent the system leads to even more dire consequences.


Written by 故事: Nehal El-Hadi
Produced by 製作:Josh Lyon and sava saheli singh
Directed by 導演:Josh Lyon

Model Employee


In A Model Employee, to keep her day job at a local restaurant, an aspiring DJ has to wear a tracking wristband. As it tracks her life outside of work, she tries to fool the system, but a new device upgrade means trouble.


Written by 故事:Tim Maughan
Produced by 製作:Leila Khalilzadeh and sava saheli singh
Directed by 導演:Leila Khalilzadeh



In Frames, a smart city tracks and analyzes a woman walking through the city. Things she does are interpreted and logged by the city system, but are they drawing an accurate picture of the woman?


Written by 故事: Madeline Ashby
Produced by 製作:Farhad Pakdel and sava saheli singh
Directed by 導演:Farhad Pakdel

This project is licensed under a Creative Commons
Attribution-NonCommercial-ShareAlike 4.0 International License.
Blaxites, A Model Employee, and Frames were funded by the Office of the Privacy Commissioner of Canada(link is external) (OPC), under the Contributions Program(link is external) (2018-2019); the views expressed herein are those of the author(s) and do not necessarily reflect those of the OPC. They were also supported by the Social Sciences and Humanities Research Council of Canada.
#tresdancing was funded by the Social Sciences and Humanities Research Council of Canada and the Scotiabank Fund for AI and Society at the University of Ottawa.