Free end of year event for RANZ members
Dale Elvy is a principal policy adviser at Stats NZ who was the main author of the recent report Algorithm Assessment Report which looked at algorithm use in fourteen major Government agencies. This report was released by Stats NZ and DIA in the context of their system leadership roles. The report stock-takes the major algorithms used by Government agencies, evaluates them against principles developed by Stats NZ and the Privacy Commissioner, and makes some recommendations about the way ahead. He will talk through the process and the findings of the report, available HERE.
Munir Shah is Stats NZ's text mining expert. He will provide a brief explanation of the basis of text mining and then show how text mining was used to help analyse the public submissions on our recent review of statistical standards around sexual identity and sexual orientation. Stats NZ usually gets about 30-70 submissions on these sorts of reviews, but as a consequence of large public interest, we received 920 submissions. If you are interested, the report is available HERE. Munir will outline how he used text mining techniques to extract themes to which policy analysts were easily able to attach meaning.
(Please note that non-member guests will be charged $20 to attend)
Research Association New Zealand (RANZ), PO Box 65 446, Mairangi Bay, Auckland, New Zealand.
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