Presented by the Social Innovation Research Institute at Swinburne and the ARC Centre of Excellence for Automated Decision Making and Society
Data science is helping to transform many aspects of social life. But with numerous ethical failures and the threat that Artificial Intelligence technology will embed new social inequalities deep inside unfathomable automated systems, we need new social data superheroes.
Join us for a series of webinars that explores the interface between social science and data science, and transforming use of data within the social welfare sector. You'll hear from some leading academic-practitioners working at the coalface, dealing with social problems with data science toolkits. And we'll explore the translational space needed to bridge the gap between the field of data science and the social problems it might address.
Webinar 1: Where Social Science Meets Data Science
In this webinar, Professor Jane Farmer and Associate Professor Anthony McCosker from the Social Innovation Research Institute, will discuss the importance of social data, the international state of play, the goals of data-driven work with communities, NGOs, services and others. They will provide a mapping type overview of ‘where’ and ‘how’ interface and translational work is happening, including key international and national examples and innovative work being led by the Swinburne Social Innovation Research Institute and the Centre for Automated Decision-making and Society.
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