Updates | 10.05.16

10.5: call for postdocs; (im)possibility of fairness; classroom monitoring

updates and ideas from the D&S community and beyond

We are seeking a media relations and editorial professional to join our communications team.

Around the Institute

Data & Society is hiring two to four postdoctoral scholars.
In addition to our Media Relations Lead opening, we have posted a call for 2017-2018 D&S postdoctoral scholars. Apply by December 6. And please share widely.

On the (im)possibility of fairness…
In this post, Suresh Venkatasubramanian considers the challenges around conceptions of fairness, introducing a paper co-written with Sorelle Friedler and Carlos Scheidegger “On the (im)possibility of fairness”:

“Ever since we started thinking about algorithmic fairness and the general issue of data-driven decision-making, there’s always been this nagging issue of ‘well what if there are cues in data that seem racist/sexist/(–)-ist and yet provide a good signal for a decision?'”

(Their work was also discussed in Motherboard.)

What Facebook Knows About You
Julia Angwin, Terry Paris Jr., and Surya Mattu built a tool that “lets you see what Facebook says it knows about you — you can rate the data for accuracy…”

New on Enabling Connected Learning
Our Enabling Connected Learning initiative (ECL) has published a new guest post: Zachary Gold examines CIPA [Children’s Internet Protection Act] and Monitoring the Connected Classroom. For more from ECL, check out our recent bundle of primers and posts: Data, tech, learning.

Around the Around

#TrumpWon? trend vs. reality
“What’s clear is that there’s dense connectivity and a clear understanding of how information flows across participants. Users in these groups not only follow each other at significantly higher rates compared to the general Twitter user, but also clearly know who is a hub — who has the ability to accelerate the flow of information.” —Gilad Lotan

Privacy After the Agile Turn
Seda Gürses and Joris van Hoboken have posted a must-read paper on the implications for privacy scholarship and policy of “the agile turn”—the “shifts from waterfall to agile development, from shrink-wrap software to services, and from the PC to the cloud”: “we wish to stimulate privacy researchers and policy makers to pay more attention to the production of digital functionality, instead of merely looking at the results of such production for privacy.”

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