Culture and politics of data visualisation: A one-day conference
10 October 2016
|Keynote abstracts & biographies||
Keynote abstracts and biographies
Feminist data visualization and the view from nowhere
Catherine D’Ignazio, MIT Center for Civic Media/Emerson Engagement Lab, USA
What would feminist data visualization look like? Drawing on feminist approaches in Science & Technology Studies, Human-Computer Interaction, Digital Humanities and Critical Cartography, I will outline six preliminary principles for what a feminist approach to data visualization can look like that were co-designed with my colleague Lauren Klein. While the dominant paradigm of data visualization is the "view from nowhere", a feminist approach opens up possibilities for the "view from a specific place, by a situated body, for a particular community". We might think of feminist data visualization as a way to bring the bodies back into data visualization.
Catherine D'Ignazio is a scholar, artist/designer and software developer who investigates how data visualization, data literacy and new forms of storytelling can be used for civic engagement and community empowerment. Her research at the intersection of technology, design & the humanities has been published in the Journal of Peer Production, the Journal of Community Informatics, and the proceedings of Human Factors in Computing Systems (ACM SIGCHI). Her art and design projects have won awards from the Tanne Foundation, Turbulence.org and the Knight Foundation and exhibited at the Venice Biennial and the ICA Boston. D'Ignazio is an Assistant Professor of Civic Media and Data Visualization at Emerson College, a Principal Investigator at the Engagement Lab and a Research Affiliate at the MIT Center for Civic Media.
Data visualisation in practice
Cath Sleeman, Quantitative Research Fellow, NESTA
Interactive data visualisation can be a highly effective tool for communicating insights from data. At Nesta we now regularly publish data visualisations alongside our reports and blogs. They cover topics as diverse as measuring Antiobitic Resistance to mapping the Creative Economy. In this presentation I will talk about why we think data visualisation is an effective tool, and how the visualisations are created. This includes using data visualisation at multiple stages in the design process, and the importance of open source tools. I will also discuss recent developments, such as greater viewer participation and the large increase in available tools. Lastly, the talk will cover the challenges currently facing the field, from showing data uncertainty to dealing with canvas uncertainty.
Cath is the Quantitative Research Fellow at Nesta, working in the Policy and Research team. She is interested in machine learning and interactive data visualisation. In 2015, she won the Bank of England data visualisation award and was short-listed for a Kantar Information is Beautiful Award. Prior to Nesta, Cath completed a PhD in Economics at the University of Cambridge. He thesis evaluated a number of public policies in the UK, including the 2008 temporary cut in VAT. Prior to this, Cath was an Economist at Morgan Stanley, covering the UK economy. She has also worked as a Senior Economic Analyst at the Reserve Bank of New Zealand in its research and modelling teams.
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Places to stay in Sheffield
|Book your place||
The conference fee is £40 waged, £25 unwaged/student.
Bookings are being taken until 23 September 2016.