Updates | 02.08.17

2.8: new jobs; tech and human rights; edtech

updates and ideas from the D&S community and beyond

Ongoing: Propaganda and Media Manipulation workshop; apply by Feb 15.

Around the Institute

New positions at Data & Society:
We are seeking two full-time engagement leads to act as bridges between our research and civil society, industry, and government:

Apply by Feb. 24!

Tech folk: ‘Move fast and break things’ doesn’t work when lives are at stake
“It’s important to acknowledge that, most of the time, the underlying problem human rights organisations are trying to solve isn’t technical. It’s often a bureaucratic, institutional, process or workflow problem, and technology won’t solve it (and might exacerbate it).” —Keith Hiatt, Michael Kleinman, Mark Latonero

Bonus: Flashback to Zara Rahman asking Who does the hard work of bridging context and technical skills?

Encore: Assessing the Legacy of inBloom
Our latest report, written by Monica Bulger, Patrick McCormick, and Mikaela Pitcan, is the product of a year-long project combining interviews and research to map the story of edtech initiative inBloom and its closure, which ignited public discussion of student data privacy and has become the legacy any future edtech project will have to contend with.

Listen! New D&S podcast episodes
Newly added to listen.datasociety.net: Student Privacy and Big Data (Elana Zeide); The Messy Realities of Digital Schooling (Neil Selwyn); and Living and Learning in the Digital Age (Sonia Livingstone).

Around the Around

Being Hopeful about Algorithms
“So it would seem that asking an algorithm for its ‘audit trail’ is the equivalent of asking (say) a human judge ‘give me the entire story of your life experiences that explains why you made this decision.'” —Suresh Venkatasubramanian

Will The Real Psychometric Targeters Please Stand Up?
“Donald Trump’s campaign didn’t possess a secret data innovation. His unlikely victory was due to a messy confluence of factors. The world has indeed been turned upside down by this election, but data scientists were not the cackling villains hidden just offstage.” —Dave Karpf


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