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POLIS: The Centre for Social Policy Research · ANU College of Arts and Social Sciences
Course will provide an advanced treatment of how social science approaches can be used to inform policy, business and service delivery decisions. This course will cover state-of-the-art social science techniques using a range of data sources. Content includes panel data analysis, evaluation methods, use of machine learning in social sciences, prediction, use of administrative data, text as data, rapid review and meta-analysis and cost-benefit analysis.
Class participation
Learning outcomes 1, 2, 3, 4, 5
Assignment 1 - Critique of selected empirical paper (1,500 words)
Learning outcomes 1, 4
Assignment 2 - Research project using real-world data (3,500 words)
Learning outcomes 2, 3, 4, 5
Oral presentation - Policy brief from research project (10 minutes)
Learning outcomes 5
Class test (2 hours)
Learning outcomes 1
130 hours of total student learning time made up from: a) 36 hours of contact over 12 weeks: made up of face-to-face lectures, tutorials and online activities; and b) 94 hours of independent student research, reading and writing.
To be provided on the course Wattle site.