About this Event
The field of Data Science is fortunate because the most popular software tools for Data Science are programming languages. This means that most Data Scientists learn to write code.
The availability of such tools depends on people building effective, efficient, and open software tools for Data Science. This means that some Data Scientists are developers. They write code so that other people can write code.
The 2022 Ihaka Lecture Series features three speakers who develop software tools for Data Science, building systems that can be built upon.
There are three lectures in the series on 28 July, 4 and 11 August.
The lectures commence at 6.30pm and will be held in MLT2/303-102.
Please note that we will have refreshments at 6pm, prior to the lectures in the Lift Lobby Foyer (303-B00L2).
Livestreams will be available for each lecture - links will be sent out in the reminder email prior to each lecture.
28 JULY
The genesis of experimentation
Dr Emi Tanaka
Senior Lecturer in Statistics, Monash University
4 AUGUST
New Plumbing: Adding a pipe operator to Base R
Professor Luke Tierney
Ralph E. Wareham Professor of Mathematical Sciences, the University of Iowa
11 AUGUST
Perspectives on the last decade in data science tools
Wes McKinney , CTO and co-founder of Voltron Data
For more details, please view the Ihaka Lecture Series webpage
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COVID-19 Guidelines
The University is committed to protecting you and will follow Public Health guidance in the delivery of events. Please do not attend the event if you are feeling unwell or have cold or flu-like symptoms. We encourage attendees to wear masks at all events.
Event Venue & Nearby Stays
University of Auckland Science Centre - MLT2/303-102, 23 Symonds Street, Auckland, New Zealand
NZD 0.00