DATA POWER: global in/securities
A two-day, international conference
Date: Thursday 12th and Friday 13th SEPTEMBER 2019
Venue: University of Bremen, Germany
With increasingly globalized digital infrastructures and a global digital political economy, we face new concentrations of power, leading to new inequalities and insecurities with respect to data ownership, data geographies and different data-related practices. It is not only a concentration of power by a few corporations, but also a concentration of the availability of data in individual regions of the world. This includes (exerting) power about data (infra)structures and processes of data creation, data collection, data access, data processing, data interpretation, data storing, data visualisations.
The Global in/securities theme of the 2019 Data Power conference attends to questions around these phenomena, asking: How does data power further or contest global in/securities? How are global in/securities constructed through or against data? How do civil society actors, government, people engage with societal and individual in/securities through and with data? What are appropriate ontologies to think about data and persons? How may we envisage a just data society? And what does decolonizing data in/securities look like?
This conference creates a space to reflect on these and other critical issues relating to data’s in/security and its decolonizing. Confirmed keynote speakers are:
Jack Linchuan Qiu, Chinese University Hongkong;
Seeta Peña Gangadaran, London School of Economics and Political Science, UK;
Nimmi Rangaswamy, Indian Institute of Information Technology, IIIT, Hyderabad, India.
Papers and panels are invited on the following – and other relevant – topics:
Big data and humanitarianism
Big/open data, corruption and public debt
‘Good’ data, data justice and well-being
Critical, theoretical and feminist approaches to data in/securities
Data activism, citizen engagement, indigenous data sovereignty and open data
Data journalism and rhetorics of data visualization in a global perspective
Data-driven governance and open data
Securitization and militarization of data infrastructures
Data, discrimination and inequality
Emerging in/securities through algorithms and automated decision-making
Forensic data, human rights and refugees
Decolonizing data in/securities and data labor
Machine learning, developmentalism and human security