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 - find all events in the series here: https://www.diis.dk/en/projects/gender-insecurity 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 - Introduction and welcome, Adam Moe Fejerskov - Data Feminism, Catherine D’Ignazio and Lauren Frederica Klein - Race, gender and power in Silicon Valley, France Winddance Twine - Q&A with the webinar audience, moderated by Robin May Schott and Adam Moe Fejerskov Picture: Photo/illustration by Peter Tomas Petersen (background to Gender & (In)security poster