Treacherous sea of data

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Tuesday 27 October 2020, 16.00-17.15
DIIS ∙ Danish Institute for International Studies
Online via Zoom

How can we navigate the paradoxes of big data? Data misrecognition makes people invisible and contributes to discrimination, harm, and social inequality. Data recognition totally captures people in technological systems that trespass privacy and can contribute to political and economic exploitation.

This webinar will explore issues of ethics, justice, and equality in the sea of big data: How are changes in the workforce, and in the workplace of big data, lived and experienced by a racially diverse and gendered workforce? Can we develop ethical rules for big data? And can we at all address the “bias in/bias out” phenomenon in data systems that strengthens existing social inequalities of race and gender? 

This webinar is a part of the Gender & (in)security event series. 

Speakers 
Catherine D’Ignazio, Urban Science and Planning, MIT
Lauren Frederica Klein, Digital Humanities, Emory University
France Winddance Twine, Sociology, University of California Santa Barbara 
Adam Moe Fejerskov, Senior Researcher, DIIS
Robin May Schott, Senior Researcher, DIIS

Programme
16.00-16.10    Introduction and welcome, Adam Moe Fejerskov
16.10-16.30    Data Feminism, Catherine D’Ignazio and Lauren Frederica Klein  
16.30-16.50    Race, gender and power in Silicon Valley, France Winddance Twine 
16.50-17.15    Q&A with the webinar audience, moderated by Robin May Schott and Adam Moe Fejerskov

Practical information
The webinar will be held in English. Participation is free of charge, but registration is required.