Multiple Dates
The role of statistics and computing in public and social policy
Event Information
About this event
Corporations are collecting and mining mountains of data to make better consumers of us all, but there are also vast quantities of data being gathered by public organisations for administrative and policy purposes.
The 2020 Ihaka Lecture Series brings together three experts to discuss the challenges and rewards of applying data science to societal issues.
The Ihaka Lecture Series is named after Associate Professor Ross Ihaka. Ross, along with Robert Gentleman, co-created R – a statistical programming language now used by the majority of the world’s practicing statisticians.
There are three lectures in the series on 9, 18 and 25 March - lectures commence at 6.30pm.
Please note that we will have some refreshments at 6pm, prior to the lectures in the Basement Foyer of building 303 (303- B00L2).
Livestreams are available for each lecture - please find streaming links below.
9 March
The triumph of the quants?: Model-based poll aggregation for election forecasting - Professor Simon Jackman, Chief Executive Officer, United States Studies Centre
18 March
Machine learning for causal inference: Magic elixir or fool’s gold? - Jennifer Hill, New York University
25 March
Implementing a machine learning tool to support high-stake decisions in child welfare: A case study in human centred AI - Professor Rhema Vaithianathan, Centre for Social Data Analytics, AUT
Organiser Faculty of Science, University of Auckland
Organiser of The role of statistics and computing in public and social policy
