Gespräch Donnerstag, 28. November 2019 /

"Mad Men,” Public Consent & Data Privacy

Women Take on Ad Tech

Urheber/in: Efe Kurnaz@unsplah. Public Domain.
Datum, Uhrzeit
Do., 28. Nov. 2019,
18.30 – 20.30 Uhr In meinem Kalender speichern
Heinrich-Böll-Stiftung - Bundesstiftung Berlin
Schumannstr. 8
10117 Berlin
Allgemeine Geschäftsbedingungen
Gunda-Werner-Institut für Feminismus und Geschlechterdemokratie
"Women Take on the Digital Divide" – A Six-Part Public Event Series
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"Women Take on the Digital Divide" – A Six-Part Public Event Series

Part 1: Women Take on Ad Tech: “Mad Men,” Public Consent & Data Privacy

The bad old days of chauvinistic, stereotypical and exclusionary advertising was captured by the television series “Mad Men.” But today’s advertising is a high-tech, concentrated blast of “sticky” content that is designed to reel you in - and to find out everything about you. People in the tech industry use ad-blockers and virtual private networks for privacy, but what about the rest of us? This talk introduces the brave new world in which ad targeting and retargeting, loyalty programs and platforms like Instagram and Facebook, operate in a lawless “Wild West” where regulation is nonexistent and contextual data is the new gold rush.


Welcome: Francesca Schmidt, GWI
Input: Temi Lasade-Anderson

Q&A moderated by: Nakeema Stefflbauer, Frauenloop

Temi Lasade-Anderson is a data awareness and privacy advocate. After spending 5 years planning digital campaigns for major e-commerce and tech companies, she now uses her marketing and communications skills for privacy-focused tech companies such as Mozilla, as well as for nonprofit organizations working to ensure that marginalized people have greater access, inclusion and digital rights.


In Cooperation with Frauenloop


"Women Take on the Digital Divide" – The Six-Part Public Event Series will include discussions on questions such as: How will the digital revolution affect the work of women in particular? How can concepts such as blockchain or crypto currencies be used emancipatively by women? How do algorithms already influence women's access to services, jobs or insurance?