Monday, June 17th, 2019
12PM - 1PM
T233, Tai Fung building, City University of Macau
Introducing Good Data: Another Digital World is Possible
Dr. Angela Daly from the Chinese University of Hong Kong and Dr. Monique Mann from Queensland University of Technology will visit the United Nations University Institute on Computing and Society (UNU-CS) to share an overview of their Good Data Project.
In recent years, there has been an exponential increase in the collection, aggregation, and automated analysis of information by government and private actors. In response to this, there has been a significant critique regarding what could be termed ‘bad’ data practices in the globalized digital economy. These include the mass gathering of data about individuals-in opaque, unethical, and at times illegal ways-and the increased use of that data in unaccountable and discriminatory forms of algorithmic decision-making.
Moving away from the strong body of critique of these pervasive ‘bad data’ practices by both governments and private actors in the globalized digital economy, the Good Data Project is an interdisciplinary academic-activist endeavor which aims to paint an alternative, more optimistic but still pragmatic picture of the data field future(s).
This presentation will provide an overview of the Good Data Project, explaining what we mean by ‘Good Data’, giving an overview of our work to date (including the production of the open access ‘Good Data’ edited book with the Institute of Network Cultures) and where our work is now going, looking particularly at the role of law and ethics approaches to addressing bad data practices.
Dr. Angela Daly is a socio-legal scholar of the regulation of new technologies. She is currently based in the Chinese University of Hong Kong Faculty of Law and holds adjunct positions at Queensland University of Technology and Tilburg University. She is the author of Socio-Legal Aspects of the 3D Printing Revolution (Palgrave 2016) and Private Power, Online Information Flows and EU Law: Mind the Gap (Hart 2016), and co-editor of Good Data (Institute of Network Cultures 2019).