sava saheli singh

sava saheli singh

sava saheli singh
sava saheli singh

Post-doctoral Fellow, Queen's University, Canada

sava is a postdoctoral fellow with the Surveillance Studies Centre, working on an OPC-funded knowledge translation project for the Big Data Surveillance project. she completed her PhD in 2017 from New York University's Educational Communication and Technology program. her dissertation, titled "Academic Twitter: Pushing the Boundaries of Traditional Scholarship", addresses how 21st century academics negotiate their professional identities as a complex form of emotional, intellectual, and academic labor and the ways in which this helps and hinders their academic and personal lives. her current research interests include educational surveillance and critically examining the effects of technology and techno-utopianism on society.

Twitter: @savasavasava

SSC Seminar Series: sava saheli singh (Postdoctoral Fellow, Surveillance Studies Centre, Queen's University)

Love in the Time of Surveillance Capitalism

Wednesday, October 17 2018, 12:30 pm to 2:00 pm

Mackintosh Corry Hall D411 

Abstract:

This presentation will discuss how our intimate personal interactions and expressions of emotion online are being used by platforms in the service of surveillance capitalism.

About the speaker:

sava saheli singh is a postdoctoral fellow with the Surveillance Studies Centre, currently working on a knowledge...

Funding awarded for 'Educational Media: Privacy in the Age of Big Data'

Congratulations to David Lyon, David Murakami Wood and sava saheli singh at the SSC on being awarded $70,000 from the Office of the Privacy Commissioner of Canada (OPC) under its Contributions Program for the project titled 'Educational Media: Privacy in the Age of Big Data'. For more information see the OPC funding...

Welcome sava saheli singh

SSC and BDS extend a warm welcome to new Postdoctoral Fellow sava saheli singh . sava begins her postdoc at Queen's in January 2018. She will be developing innovative multi-media teaching and learning materials related to Big Data Surveillance, led by David Lyon and David Murakami Wood.